Publikationen des Institutes für Risiko und Zuverlässigkeit

Buchbeiträge

  • Beer, M. (2023): Fuzzy Probability TheoryLin, Tsau-Young; Liau, Churn-Jung; Kacprzyk, Janusz (eds.), Granular, Fuzzy, and Soft Computing, Springer US, New York, NY. (Invited Chapter), pages 51–75.
    DOI: 10.1007/978-1-0716-2628-3_237
  • Jerez, D.J.; Jensen, H.A.; Beer, M. (2023): A Two-Phase Sampling Approach for Reliability-Based Optimization in Structural EngineeringLiu, Y.; Wang, D.; Mi, J.H; Li, H. (eds): Advances in Reliability and Maintainability Methods and Engineering Applications; Essays in Honor of Professor Hong-Zhong Huang on his 60th Birthday, Springer Series in Reliability Engineering (RELIABILITY), Springer, Cham, pages 21–48.
    DOI: 10.1007/978-3-031-28859-3
  • Wei, P.F.; Beer, M. (2023): Regression Models for Machine LearningRabczuk, T.; Bathe, K.-J. (eds), Machine Learning in Modeling and Simulation, Methods and Applications; Springer book series on Computational Methods in Engineering & the Sciences, Springer, Cham, Chapter 9, pages 341–371.
    ISSN: 2662-4877
  • Bi, S.F.; Beer, M. (2022): Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty TreatmentIn: Aslett, L.J.M.; Coolen, F.P.A.; De Bock, J. (eds), Uncertainty in Engineering; Introduction to Methods and Applications, SpringerBriefs in Statistics book series, Springer, Cham, Chapter 8, pages 115–129.
    DOI: 10.1007/978-3-030-83640-5
  • Julian Salomon, Jasper Behrensdorf, Michael Beer (2022): Resilienz baulicher Infrastruktur - sicher und wirtschaftlicher durch Dick und Dünn26. Dresdner Baustatik - Seminar – „Realität-Modellierung-Tragwerksplanung“, Institut für Statik und Dynamik der Tragwerke, TU Dresden
    ISSN: 1615-9705
  • Beer, M. (2021): Fuzzy Probability TheoryIn: Meyers, R. (ed.), Encyclopedia of Complexity and Systems Science,Springer, Berlin, Heidelberg. (Invited Chapter), pages 1–25.
    DOI: https://doi.org/10.1007/978-3-642-27737-5_237-2
  • Beer, M.; Ayyub, B.M.; Phoon, K.K. (2018): Research Recommendation “Resilience Engineering at System Scale”In: Beer, M.; Huang, H.W.; Ayyub, B.M.; Zhang, D.M.; Phillips, B.M. (eds.), Resilience Engineering for Urban Tunnels, American Society of Civil Engineers, Infrastructure Resilience Publications (IRP) IRP 2, 99-102.
    DOI: 10.1061/9780784415139.ch09
  • Beer, M.; Gong, Z.T.; Neumann, I.; Sriboonchitta, S.; Kreinovich, V. (2018): What If We Do Not Know Correlations?In: Anh, L.H.; Dong, L.S.; Kreinovich, V.; Nguyen, N.T. (eds.), Econometrics for Financial Applications, Springer, Cham, Switzerland, pp 78-85.
    DOI: 10.1007/978-3-319-73150-6_5
    ISBN: 978-3-319-73149-0
  • Behrensdorf, J.; Broggi, M.; Beer, M. (2018): Efficient Reliability and Risk Analysis of Complex Interconnected SystemsIn: Beer, M.; Huang, H.W.; Ayyub, B.M.; Zhang, D.M.; Phillips, B.M. (eds.), Resilience Engineering for Urban Tunnels, American Society of Civil Engineers, Infrastructure Resilience Publications (IRP) IRP 2, 43–54.
    DOI: 10.1061/9780784415139.ch04
  • Borrmann, A., Berkhahn, V. (2018): Principles of geometric modelingBuilding Information Modeling: Technology Foundations and Industry Practice, pp. 27-41.
    DOI: 10.1007/978-3-319-92862-3_2
    ISBN: 978-331992861-6
  • Zuev, K.M.; Beer, M. (2018): Reliability of Critical Infrastructure Networks: ChallengesIn: Beer, M.; Huang, H.W.; Ayyub, B.M.; Zhang, D.M.; Phillips, B.M. (eds.), Resilience Engineering for Urban Tunnels, American Society of Civil Engineers, Infrastructure Resilience Publications (IRP) IRP 2, 71-82.
    DOI: 10.1061/9780784415139.ch06

Journal-Artikel

  • Behrendt, M.; Dang, C.; Beer, M. (2024): Data-driven and physics-based interval modelling of power spectral density functions from limited dataMechanical Systems and Signal Processing, 208, Article 111078
    DOI: 10.1016/j.ymssp.2023.111078
  • Behrendt, M.; Lyu, M.Z.; Luo, Y.; Chen, J.B.; Beer, M. (2024): Failure probability estimation of dynamic systems employing relaxed power spectral density functions with dependent frequency modeling and samplingProbabilistic Engineering Mechanics, 75, Article 103592
    DOI: 10.1016/j.probengmech.2024.103592
  • Behrensdorf, J.; Broggi, M.; Beer, M. (2024): Interval Predictor Model for the Survival Signature using Monotone Radial Basis FunctionsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, in press.
  • Bittner, M.; Behrendt, M.; Beer, M. (2024): Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signalsMechanical Systems and Signal Processing, 211, Article 111210
    DOI: 10.1016/j.ymssp.2024.111210
  • Brandt, J.; Iversen, T.; Eckert, C.; Peterssen, F.; Bensmann, B.; Bensmann, A.; Beer, M.; Weyer, H.; Hanke-Rauschenbach, R. (2024) (2024): Cost and competitiveness of green hydrogen and the effects of the European Union regulatory frameworkNature Energy, in press
  • Dang, C.; Beer, M. (2024): Semi-Bayesian active learning quadrature for estimating extremely low failure probabilitiesReliability Engineering and System Safety, 246, Article 110052
    DOI: 10.1016/j.ress.2024.110052
  • Dang, C.; Cicirello, A.; Valdebenito, M.A.; Faes, M.G.R.; Wei, P.F.; Beer, M. (2024): Structural reliability analysis with extremely small failure probabilities: A quasi-Bayesian active learning methodProbabilistic Engineering Mechanics, in press.
  • Dang, C.; Faes, M.G.R.; Valdebenito, M.A.; Wei, P.F.; Beer, M. (2024): Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilitiesComputer Methods in Applied Mechanics and Engineering, 422, Article 116828.
    DOI: 10.1016/j.cma.2024.116828
  • Dang, C.; Valdebenito, M.A.; Wei, P.F.; Song, J.W.; Beer, M. (2024): Bayesian active learning line sampling with log-normal process for rare-event probability estimationReliability Engineering and System Safety, 246, Article 110053
    DOI: 10.1016/j.ress.2024.110053
  • Ding, C.; Dang, C.; Broggi, M.; Beer, M. (2024): Estimation of response expectation bounds under parametric p-boxes by combining Bayesian global optimization with unscented transformASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, in press.
    DOI: 10.1061/AJRUA6/RUENG-1169
  • Feng, D.C.; Ding, J.Y.; Xie, S.C.; Li, Y.; Akiyama, M.; Lu, Y.; Beer, M.; Li, J. (2024): Climate Change Impacts on the Risk Assessment of Concrete Civil Infrastructures: a State-of-the-Art ReviewASCE Open: Multidisciplinary Journal of Civil Engineering, in press.
  • Hong, F.Q.; Wei, P.F.; Beer, M. (2024): Parallelization of Adaptive Bayesian Cubature Using Multimodal Optimization AlgorithmsEngineering Computations, in press.
  • Hong, F.Q; Wei, P.F.; Fu, J.F.; Beer, M. (2024): A sequential sampling-based Bayesian numerical method for reliability-based design optimizationReliability Engineering and System Safety, 244, Article 109939
    DOI: 10.1016/j.ress.2024.109939
  • Hu, Y.; Wang, Y.; Phoon, K.K.; Beer, M. (2024): Similarity quantification of soil spatial variability between two cross-sections using auto-correlation functions  Engineering Geology, 331, Article 107445
    DOI: 10.1016/j.enggeo.2024.107445
  • Hu, Z.; Dang, C.; Wang, L.; Beer, M. (2024): Parallel Bayesian probabilistic integration for structural reliability analysis with small failure probabilitiesStructural Safety, 106, Article 102409
    DOI: 10.1016/j.strusafe.2023.102409
  • Huang, Z.F.; Beer, M. (2024): Probability distributions for dynamic and extreme responses of linear elastic structures under quasi-stationary harmonizable loadsProbabilistic Engineering Mechanics, 75, Article 103590
    DOI: 10.1016/j.probengmech.2024.103590
  • Jerez, D.; Fragkoulis, V.; Ni, P.H.; Mitseas, I.; Valdebenito, M.; Faes, M.; Beer, M. (2024): Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loadsMechanical Systems and Signal Processing, 208, Article 111043
    DOI: 10.2139/ssrn.4586140
  • Jerez, D.J.; Chwała, M.; Jensen, H.A.; Beer, M. (2024): Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic frameworkReliability Engineering and System Safety, 242, Article 109771
    DOI: 10.1016/j.ress.2023.109771
  • Jiang, Y.B.; Zhang, X.Y.; Beer, M.; Zhou, H.; Leng, Y. (2024): An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator normReliability Engineering and System Safety, 245, Article 109972
    DOI: 10.1016/j.ress.2024.109972
  • Lai, J.; Wang, K.; Shi, Y.; Xu, J.M.; Chen, J.Y.; Wang, P.; Beer, M. (2024): Reliability assessment of freight wagon passing through railway turnouts using adaptive Kriging surrogate modelInternational Journal of Rail Transportation,
    DOI: 10.1080/23248378.2024.2304000
  • Li, J.; Shao, F.S.; He, Z.W.; Ma, J.; Qiu, Y.Y.; Beer, M. (2024): Multiaxial fatigue life prediction using an improved SWT modelFatigue & Fracture of Engineering Materials & Structures, in press.
  • Li, S.; Ji, J.C.; Xu, Y,D.; Feng, K.; Zhang, K.; Feng, J.C.; Beer, M.; Ni, Q.; Wang, Y.L. (2024): Dconformer: A Denoising Convolutional Transformer with Joint Learning Strategy for Intelligent Diagnosis of Bearing FaultsMechanical Systems and Signal Processing, 210, Article 111142
  • Liao, K.; Wu, Y.P.; Miao, F.S.; Pan, Y.T.; Beer, M. (2024): Quantitative risk assessment of seismically loaded slopes in spatially variable soils with depth dependent strengthInternational Journal of Geomechanics, in press.
  • Liu, J.X.; Shi, Y.; Chen, D.; Beer, M. (2024): Hybrid uncertainty propagation based on multi-fidelity surrogate modelComputers and Structures, 293, Article 107267
    DOI: 10.1016/j.compstruc.2023.107267
  • Lyu, M.Z.; Feng, D.C.; Cao, X.Y.; Beer, M. (2024): A full-probabilistic cloud analysis for structural seismic fragility via decoupled M-PDEMEarthquake Engineering & Structural Dynamics, 53(5), 1677-1929
    DOI: 10.1002/eqe.4093
  • Rafieyan, A.; Sarvari, H.; Beer, M.; Chan, D.W.M. (2024): Determining the effective factors leading to incidence of human error accidents in industrial parks construction projects: results of a fuzzy Delphi surveyInternational Journal of Construction Management, 24(7), 748–760
    DOI: 10.1080/15623599.2022.2159630
  • Sarvari, H.; Asaadsamani, P.; Olawumi, T.O. , Chan, D.W.M.; Rashidi, A.; Beer, M. (2024): Perceived Barriers to Implementing Building Information Modelling in Iranian Small and Medium-Sized Enterprises (SMEs): A Delphi Survey of Construction ExpertsArchitectural Engineering and Design Management TAEM, in press
  • Shi, Y.; Behrensdorf, J.; Zhou, J.Y.; Hu, Y.; Broggi, M.; Beer, M. (2024): Network Reliability Analysis through Survival Signature and Machine Learning TechniquesReliability Engineering and System Safety, 242, Article 109806
    DOI: 10.1016/j.ress.2023.109806
  • Wang, C.; Beer, M.; Faes. M.G.R.; Feng, D.C. (2024): Resilience assessment under imprecise probabilityASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, in press.
  • Wang, L.; Hu, Z.; Dang, C.; Beer, M. (2024): Refined parallel adaptive Bayesian quadrature for estimating small failure probabilitiesReliability Engineering and System Safety, 244, Article 109953
  • Wang, R.H.; Li, S.F.; Liu, Y.; Hu, X.; Lai, X.; Beer, M. (2024): Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertaintyComputers and Geotechnics, 168, Article 106128
    DOI: 10.1016/j.compgeo.2024.106128
  • Wang, R.H.; Ouyang, J.Y.; Fragkoulis, V.C.; Liu, Y.; Beer, M. (2024): Experimental model updating of slope considering spatially varying soil properties and dynamic loadingEarthquake Engineering and Resilience, in press.
  • Wang, Z.W.; Lu, X.F.; Zhang, W.M.; Fragkoulis, V.C.; Zhang, Y.F.; Beer, M. (2024): Deep Learning-Based Prediction of Wind-Induced Lateral Displacement Response of Suspension Bridge Decks for Structural Health MonitoringJournal of Wind Engineering & Industrial Aerodynamics, 247, Article 105679
    DOI: 10.1016/j.jweia.2024.105679
  • You, Z.X.; Miao, H.N.; Shi, Y.; Beer, M. (2024): Improving the performance of low-frequency magnetic energy harvesters using an internal magnetic-coupled mechanismJournal of Applied Physics, 135, Article 084101
    DOI: 10.1063/5.0195091
  • Yuan, P.; Yuen, K.V.; Beer, M.; Cai, C.S.; Yan, W.J. (2024): A non-iterative partitioned computational method with the energy conservation property for time-variant dynamic systemsMechanical Systems and Signal Processing, 209, Article 111105
    DOI: 10.1016/j.ymssp.2024.111105
  • Zheng, Z.B.; Beer, M.; Nackenhorst, U. (2024): Efficient stochastic modal decomposition methods for structural stochastic static and dynamic analysesInternational Journal for Numerical Methods in Engineering, in press
  • Zhou, T.; Guo, T.; Dang, C.; Beer, M. (2024): Bayesian reinforcement learning reliability analysisComputer Methods in Applied Mechanics and Engineering, 424, Article 116902
  • Zhuang, J.C.; Jia, M.P.; Huang, C.G.; Beer, M.; Feng, K. (2024): Health Prognosis of Bearings Based on Transferable Autoregressive Recurrent Adaptation with Few-shot LearningMechanical Systems and Signal Processing, 211, Article 111186.
    DOI: 10.1016/j.ymssp.2024.111186
  • Bai, Y.T.; Li, X.L.; Zhou, X.H.; Li, P.; Beer, M. (2023): Soil-expended seismic metamaterial with ultralow and wide bandgapMechanics of Materials, 180, Article 104601.
    DOI: 10.1016/j.mechmat.2023.104601
  • Bai, Y.T.; Wang, S.H.; Zhou, X.H.; Beer, M. (2023): Three-dimensional ori-kirigami metamaterials with multistabilityPhysical Review E, 107, Article 035004.
    DOI: 10.1103/PhysRevE.107.035004
  • Behrendt, M.; de Angelis, M.; Beer, M. (2023): Uncertainty propagation of missing data signals with the interval discrete Fourier transformASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(3), Article 04023022
    DOI: 10.1061/AJRUA6.RUENG-1048
  • Behrendt, M.; Faes, M.G.R.; Valdebenito, M.A.; Beer, M. (2023): Estimation of an imprecise power spectral density function with optimised bounds from scarce data for epistemic uncertainty quantificationMechanical Systems and Signal Processing, 189, Article 110072.
    DOI: 10.1016/j.ymssp.2022.110072
  • Bi, S.F.; Beer, M.; Cogan, S.; Mottershead J.E (2023): Stochastic Model Updating with Uncertainty Quantification: An Overview and TutorialMechanical Systems and Signal Processing, 20, Article 110784.
    DOI: 10.2139/ssrn.4460552
  • Cao, X.-Y.; Feng, D.-C.; Beer, M. (2023): A KDE-based non-parametric cloud approach for efficient seismic fragility estimation of structures under non-stationary excitationMechanical Systems and Signal Processing, 205, Article 110873.
  • Cao, X.Y.; Feng, D.C.; Beer, M. (2023): Consistent seismic hazard and fragility analysis considering combined capacity-demand uncertainties via probability density evolution methodStructural Safety, 103, Article 102330.
    DOI: 10.1016/j.strusafe.2023.102330
  • Chen, G.; Liu, Y.; Beer, M. (2023): Identification of near-fault multi-pulse ground motionApplied Mathematical Modelling, 117, 609-624.
    DOI: 10.1016/j.apm.2023.01.002
  • Chen, G.; Liu, Y.; Beer, M. (2023): Effects of response spectrum of pulse-like ground motion on stochastic seismic response of tunnelEngineering Structures, 289, Article 116274.
    DOI: 10.1016/j.engstruct.2023.116274
  • Chen, G.; Yang, J.S. Liu, Y.; Kitahara, T.; Beer, M. (2023): An energy-frequency parameter for earthquake ground motion intensity measureEarthquake Engineering and Structural Dynamics, 52(2), 271-284.
    DOI: 10.1002/eqe.3752
  • Chen, G.; Yang, J.S.; Wang, R.H.; Li, K.Q.; Liu, Y.; Beer, M. (2023): Seismic damage analysis due to near-fault multi-pulse ground motionEarthquake Engineering and Structural Dynamics, 52(15), 5099-5116
    DOI: 10.1002/eqe.4003
  • Chen, Y.; Patelli, E.; Edwards, B.; Beer, M. (2023): A physics-informed Bayesian framework for characterizing ground motion process in the presence of missing dataEarthquake Engineering and Structural Dynamics, 52, 2179–2195.
    DOI: 10.1002/eqe.3877
  • Chen, Y.; Patelli, E.; Edwards, B.; Beer, M. (2023): A Bayesian Augmented-Learning framework for spectral uncertainty quantification of incomplete records of stochastic processesMechanical Systems and Signal Processing, 200, Article 110573
    DOI: 10.1016/j.ymssp.2023.110573
  • Chen, Y.L.; Shi, Y.; Huang, H.Z.; Sun, D.; Beer, M. (2023): Uncertainty analysis of structural output with closed-form expression based on surrogate modelProbabilistic Engineering Mechanics, 73, Article 103482.
    DOI: 10.1016/j.probengmech.2023.103482
  • Chwała, M.; Jerez, D.J.; Jensen, H.A.; Beer, M. (2023): Performance assessment of borehole arrangements for the design of rectangular shallow foundation systemsJournal of Rock Mechanics and Geotechnical Engineering, in press.
    DOI: 10.1016/j.jrmge.2023.05.009
  • Dai, H.Z.; Zhang, R.J.; Beer, M. (2023): A new method for stochastic analysis of structures under limited observationsMechanical Systems and Signal Processing, 185, Article 109730.
    DOI: 10.1016/j.ymssp.2022.109730
  • Dang, C.; Valdebenito, M.A.; Faes, M.G.R.; Song, J.W.; Wei, P.F.; Beer, M. (2023): Structural reliability analysis by line sampling: A Bayesian active learning treatmentStructural Safety, 104, Article 102351.
    DOI: 10.1016/j.strusafe.2023.102351
  • Dang, C.; Valdebenito, M.A.; Song, J.W.; Wei, P.F.; Beer, M. (2023): Estimation of small failure probabilities by partially Bayesian active learning line sampling: Theory and algorithmComputer Methods in Applied Mechanics and Engineering, 412, Article 116068.
    DOI: 10.1016/j.cma.2023.116068
  • Ding, C.; Dang, C.; Valdebenito, M.A.; Faes, M.G.R.; Broggi, M.; Beer, M. (2023): First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approachMechanical Systems and Signal Processing, 185, Article 109775.
    DOI: 10.1016/j.ymssp.2022.109775
  • Feng, C.X.; Faes, M.; Broggi, M.; Dang, C.; Yang, J.S.; Zheng, Z.B.; Beer, M. (2023): Application of interval field method to the stability analysis of slopes in presence of uncertaintiesComputers and Geotechnics, 153, Article 105060.
    DOI: 10.1016/j.compgeo.2022.105060
  • Feng, C.X.; Valdebenito, M.A.; Chwala, M.; Liao, K.; Broggi, M.; Beer, M. (2023): Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional momentsJournal of Rock Mechanics and Geotechnical Engineering, in press.
  • Feng, K.; Ji, J.C.; Zhang, Y.C.; Ni, Q.; Liu, Z.; Beer, M. (2023): Digital twin-driven intelligent assessment of gear surface degradationMechanical Systems and Signal Processing, 186, Article, 109896.
    DOI: 10.1016/j.ymssp.2022.109896
  • Fragkoulis, V.C.; Kougioumtzoglou, I.A. (2023): Survival probability determination of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitationProbabilistic Engineering Mechanics, 71, 103411
    DOI: 10.1016/j.probengmech.2022.103411
  • Goeing J., Seehausen H., Stania L., Nuebel N., Salomon J., Ignatidis P., Dinkelacker F., Beer M., Denkena B., Seume J. R., Friedrichs J. (2023): Virtual process for evaluating the influence of real combined module variations on the overall performance of an aircraft engineJournal of the Global Power and Propulsion Society, 7, 95–112.
    DOI: 10.33737/jgpps/160055
  • Grashorn, J.; Urrea-Quintero, J.-H.; Broggi, M.; Chamoin, L.; Beer, M. (2023): Transport map Bayesian parameter estimation for dynamical systemsProceedings in Applied Mathematics and Mechanics, 23(1), Article e202200136
    DOI: 10.1002/pamm.202200136
  • Hong, F.Q.; Wei, P.F.; Song, J.W.; Faes, M.G.R.; Valdebenito, M.A.; Beer, M. (2023): Combining Data and Physical Models for Probabilistic Analysis: A Bayesian Augmented Space Learning PerspectiveProbabilistic Engineering Mechanics, 73, Article 103474.
    DOI: 10.1016/j.probengmech.2023.103474
  • Hong, F.Q.; Wei, P.F.; Song, J.W.; Valdebenito, M.A.; Faes, M.G.R.; Beer, M. (2023): Collaborative and Adaptive Bayesian Optimization for Bounding Variances and Probabilities under Hybrid UncertaintiesComputer Methods in Applied Mechanics and Engineering, 417, Article 116410.
    DOI: 10.1016/j.cma.2023.116410
  • Hong, X.; Song, Y.P.; Kong, F.; Beer, M. (2023): The Typhoon Wind Hazard Assessment Considering the Correlation among the Key Random Variables Using the Copula MethodASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(2), Article 04023013.
    DOI: 10.1061/AJRUA6.RUENG-1018
  • Huang, Z.F.; Chen, G.; Beer, M (2023): Multi-taper S-transform method for estimating Wigner-Ville and Loève spectra of quasi-stationary harmonizable processesMechanical Systems and Signal Processing, 206, Article 110880.
    DOI: 10.2139/ssrn.4508067
  • Kitahara, M.; Kitahara, T.; Beer M. (2023): Hierarchical Bayesian Model Updating for Quantifying Uncertainties in Model ParametersJournal of JSCE, 79(15) (in Japanese).
  • Lai, J.; Wang, K.; Xu, J.M.; Wang, P.; Chen, R.; Wang, S.G.; Beer, M. (2023): A failure probability assessment method for train derailments in railway yards based on IFFTA and NGBNEngineering Failure Analysis, 154, Articel 107675.
  • Liao, K.; Wu, Y.P.; Miao, F.S.; Zhang, L.F.; Beer, M. (2023): Efficient System Reliability Analysis for Layered Soil Slopes with Multiple Failure Modes Using Sequential Compounding MethodASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(2), Article 04023015.
    DOI: 10.1061/AJRUA6.RUENG-1022
  • Ma, J.; Dai, C.P.; Wang, B.; Beer, M.; Wang, A.Y. (2023): Random dynamic responses of solar array under thermal-structural coupling based on the isogeometric analysisActa Mechanica Sinica, 39, Article 722338.
    DOI: 10.1007/s10409-023-22338-x
  • Mao, W.T.; Zhang, W.; Feng, K.; Beer, M.; Yang, C.S. (2023): Tensor Representation-based Transferability Analytics and Selective Transfer Learning of Prognostic Knowledge for Remaining Useful Life Prediction Across MachinesReliability Engineering and System Safety, 242, Article 109695.
    DOI: 10.1016/j.ress.2023.109695
  • Mei; L.F.; Yan; W.J.; Yuen; K.V.; Ren, W.X.; Beer, M. (2023): Transmissibility-based Damage Detection with Hierarchical Clustering Enhanced by Multivariate Probabilistic Distance Accommodating Uncertainty and CorrelationMechanical Systems and Signal Processing, 203, Article 110702
    DOI: 10.1016/j.ymssp.2023.110702
  • Mo, J; Yan, W.J.; Yuen, K.V.; Beer, M. (2023): Efficient Inner-Outer Decoupling Scheme for Non-probabilistic Model Updating with High Dimensional Model Representation and Chebyshev ApproximationMechanical Systems and Signal Processing, 188, Article 110040.
    DOI: 10.1016/j.ymssp.2022.110040
  • Ni, P.H.; Fragkoulis, V.C.; Kong, F.; Mitseas, I.P.; Beer, M. (2023): Non-stationary response of nonlinear systems with singular parameter matrices subject to combined deterministic and stochastic excitationMechanical Systems and Signal Processing, 188, Article 110009
    DOI: 10.1016/j.ymssp.2022.110009
  • Persoons, A.; Wei, P.F.; Broggi, M.; Beer, M. (2023): A new reliability method combining adaptive Kriging and active variance reduction using multiple importance samplingStructural and Multidisciplinary Optimization, 66, Article 144.
    DOI: 10.1007/s00158-023-03598-6
  • Rafieyan, A.; Sarvari, H.; Beer, M.; Chan, D.W.M. (2023): Determining the Effective Factors Leading to Incidence of Human Error Accidents in Industrial Parks Construction Projects: Results of a Fuzzy Delphi SurveyInternational Journal of Construction Management, in press.
    DOI: 10.1080/15623599.2022.2159630
  • Shi, Y.; Huang, H.Z.; Liu, Y.; Beer, M. (2023): Adaptive decoupled robust design optimizationStructural Safety, 105, Article 102378
    DOI: 10.1016/j.strusafe.2023.102378
  • Wan, Z.Q.; Chen, J.B.; Tao, W.F.; Wei, P.F.; Beer, M.; Jiang, Z.M. (2023): A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertaintiesMechanical Systems and Signal Processing, 184, Article 109656.
    DOI: 10.1016/j.ymssp.2022.109656
  • Wang, C,X.; Yang, L.C.; Xie, M.; Valdebenito, M.A.; Beer, M. (2023): Bayesian maximum entropy method for stochastic model updating using measurement data and statistical informationMechanical Systems and Signal Processing, 188, Article 110012.
    DOI: 10.1016/j.ymssp.2022.110012
  • Wang, C.; Ayyub, B.M.; Zhang, H.; Beer, M. (2023): Time-Dependent Resilience in the Presence of Interacting Multiple Hazards in a Changing ClimateASCE OPEN: Multidisciplinary Journal of Civil Engineering, Article 04023006
    DOI: 10.1016/j.rcns.2022.10.001
  • Wang, Z.W.; Lu, X.F.; Zhang, W.M.; Fragkoulis, V.C.; Beer, M.; Zhang, Y.F. (2023): Deep Learning-Based Reconstruction of Missing Long-Term Girder-End Displacement Data for Suspension Bridge Health MonitoringComputers and Structures, 284, Article 107070.
    DOI: 10.1016/j.compstruc.2023.107070
  • Weng, L.L.; Yang, J.S.; Chen, J.B.; Beer, M. (2023): Structural design optimization under dynamic reliability constraints based on probability density evolution method and quantum-inspired optimization algorithmProbabilistic Engineering Mechanics, 74, Article 103494.
    DOI: 10.1016/j.probengmech.2023.103494
  • Winnewisser, N.R.; Salomon, J.; Broggi, M.; Beer, M (2023): The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems in the Context of Resilience OptimizationDisaster Prevention and Resilience, 2(2):4.
    DOI: 10.20517/dpr.2023.03
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  • Jiang, Y.; Sun, G.; He, Y.; Beer, M.; Zhang, J. (2015): A nonlinear model of failure function for reliability analysis of RC frame columns with tension failureEngineering Structures; 98: 74-80.
  • Kougioumtzoglou, I. A.; Zhang, Y.; Beer, M. (2015): Softening Duffing Oscillator Reliability Assessment Subject to Evolutionary Stochastic ExcitationASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering: C4015001.
  • Miro S., König M., Hartmann D., Schanz T. (2015): A probabilistic analysis of subsoil parameters uncertainty impacts on tunnel-induced ground movements with a back-analysis studyComputers and Geotechnics, Volume 68, pages 38-53.
  • Patelli, E.; Alvarez, D. A.; Broggi, M.; de Angelis, M. (2015): Uncertainty Management in Multidisciplinary Design of Critical Safety SystemsJournal of Aerospace Information Systems; 12(1): 140-169.
  • Zhang, M. Q.; Beer, M.; Koh, C. G.; Jensen, H. A. (2015): Nuanced Robustness Analysis with Limited InformationASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering: B4015001.
  • Zhang, Y.; Beer, M.; Quek, S. T. (2015): Long-term performance assessment and design of offshore structuresComputers & Structures; 154: 101-115.
  • He, L.; Wang, Y. (2014): Distribution Characteristics and Potential Ecological Risk Assessment of Asenic And Mercury in Vegetable Soils of Changchun SuburbSoil and Crop(3).
  • Khaledi K., Miro S., König M., Schanz T. (2014): Robust and reliable metamodels for mechanized tunnel simulationComputers and Geotechnics, Volume 61, pages 1-12.
  • Khaledi K., Miro S., Schanz T. (2014): Application of Metamodeling Techniques for Mechanized Tunnel SimulationJournal of Theoretical and Applied Mechanics, Volume 44, pages 45-54.
  • Liu, Y.; Lee, F.; Quek, S.; Beer, M. (2014): A genetic algorithm approach for the calibration of a social force based model for shared spacesProbabilistic Engineering Mechanics; 38: 42—53.
  • Miro S., Hartmann D., Schanz T. (2014): Global sensitivity analysis for subsoil parameter estimation in mechanized tunnelingComputers and Geotechnics, Volume. 56, pages 80-88.
  • Beer, M.; Ferson, S.; Kreinovich, V. (2013): Imprecise probabilities in engineering analysesMechanical Systems and Signal Processing; 37(1-2): 4—29.
  • Beer, M.; Kreinovich, V. (2013): Interval or moments: Which carry more information?Soft Computing; 17(8): 1319—1327.
  • Beer, M.; Zhang, Y.; Quek, S. T.; Phoon, K. K. (2013): Reliability analysis with scarce information: Comparing alternative approaches in a geotechnical engineering contextStructural Safety; 41: 1—10.
    DOI: 10.1016/j.strusafe.2012.10.003
  • Rebner, G.; Beer, M.; Auer, E.; Stein, M. (2013): Verified stochastic methods: Markov Set-Chains and dependency modeling of mean and standard deviationSoft Computing; 17(8): 1415—1423.
  • Stein, M.; Beer, M.; Kreinovich, V. (2013): Bayesian approach for inconsistent informationInformation Sciences; 245: 96—111.
  • Zhang, H.; Dai, H.; Beer, M.; Wang, W. (2013): Structural reliability analysis on the basis of small samples: an interval quasi-Monte Carlo methodMechanical Systems and Signal Processing; 37(1): 137—151.
  • Beer, M.; Graf, W.; Kaliske, M. (2012): Safety and robustness assessment of structures with generalized data uncertaintyGACM Report Summer 2012; 7: 23—28.
  • Heinen R., Miro S. (2012): Micromechanical modeling of NiTi shape memory alloys including austenite, R-phase, and martensiteComputer Methods in Applied Mechanics and Engineering, Volumes 229–232, Pages 44–55.
  • Heinen R., Miro S. (2012): Assessment of the Influence of R-Phase Formation on the Material Behavior of NiTi using a Micromechanical ModelFunctional Materials Letters. Volume: 5, Issue: 1(2012) 1250015.
  • Patelli, E.; Murat Panayirci, H.; Broggi, M.; Goller, B.; Beaurepaire, P.; Pradlwarter, H. J.; Schuëller, G. I. (2012): General purpose software for efficient uncertainty management of large finite element modelsFinite Elements in Analysis and Design; 51(1): 31—48.
  • Zhang, M. Q.; Beer, M.; Koh, C. G. (2012): Interval Analysis for System Identification of Linear MDOF Structures in the Presence of Modeling ErrorsJournal of engineering mechanics; 138(11): 1326—1338.
  • Zio, E.; Broggi, M.; Golea, L. R.; Pedroni, N. (2012): Failure and reliability predictions by infinite impulse response locally recurrent neural networksChemical Engineering Transactions; 26: 117—122.
  • Broggi, M.; Calvi, A.; Schuëller, G. (2011): Reliability assessment of axially compressed composite cylindrical shells with random imperfectionsInternational Journal of Structural Stability and Dynamics; 11(2): 215—236.
    DOI: 10.1142/S0219455411004063
  • Broggi, M.; Schuëller, G. (2011): Efficient modeling of imperfections for buckling analysis of composite cylindrical shellsEngineering Structures; 33(5): 1796—1806.
  • Goller, B.; Broggi, M.; Calvi, A.; Schuëller, G. (2011): A stochastic model updating technique for complex aerospace structuresFinite Elements in Analysis and Design; 47(7): 739—752.
  • Rehr, I.; Rinke, N.; Kutterer, H.; Berkhahn, V. (2011): Maßnahmen zur Effizienzsteigerung bei der Durchführung tachymetrischer NetzmessungenAVN Allgemeine Vermessungs-Nachrichten; 1.
  • Beer, M.; Liebscher, M. (2010): Detection of branching points in noisy processesComputational Mechanics; 45(4): 363—374.
  • Berkhahn, V.; Berner, F.; Kuttner, H.; Schwieger, V.; Hirschner, J.; Rehr, I.; Rinke, N.; Schweitzer, J. (2010): Effizienzoptimierung und Qualitätssicherung ingenieurgeodätischer Prozesse im HochbauBauingenieur; 85(11).
  • Berkhahn, V.; Milbradt, P.; Höcker, M.; Abu Abed, W.; Rinke, N. (2010): Mehr Sicherheit für Fußgänger - Simulation der Fußgängerdynamik ermöglicht sichere EvakuierungenUniMagazin 03/04 Leibniz Universität Hannover.
  • Jensen, H. A.; Beer, M. (2010): Discrete-continuous variable structural optimization of systems under stochastic loadingStructural Safety; 32(5): 293—304.
  • Zhang, M. Q.; Beer, M.; Quek, S. T.; Choo, Y. S. (2010): Comparison of uncertainty models in reliability analysis of offshore structures under marine corrosionStructural Safety; 32(6): 425—432.
  • Beer, M. (2009): Engineering quantification of inconsistent informationInternational Journal of Reliability and Safety; 3(1-3): 174—200.
  • Beer, M.; Spanos, P. D. (2009): A neural network approach for simulating stationary stochastic processesStructural Engineering and Mechanics; 32(1): 71—94.
  • Freitag, S.; Beer, M.; Graf, W.; Kaliske, M. (2009): Lifetime prediction using accelerated test data and neural networksComputers & Structures; 87(19): 1187—1194.
  • Zio, E.; Broggi, M.; Pedroni, N. (2009): Nuclear reactor dynamics on-line estimation by Locally Recurrent Neural NetworksProgress in Nuclear Energy; 51(3): 573—581.
  • Zio, E.; Pedroni, N.; Broggi, M.; Golea, L. R. (2009): Modelling the dynamics of the lead bismuth eutectic experimental accelerator driven system byan infinite impulse response locally recurrent neural networkNuclear Engineering and Technology; 41(10): 1293—1306.
  • Beer, M.; Liebscher, M. (2008): Designing robust structures - A nonlinear simulation based approachComputers and Structures; 86(10): 1102—1122.
  • Berkhahn, V.; Tilleke, S. (2008): Merging neural networks and topological models to re-engineer construction drawingsAdvances in Engineering Software; 39(10): 812—820.
  • Möller, B.; Beer, M. (2008): Engineering computation under uncertainty - Capabilities of non-traditional modelsComputers and Structures; 86(10): 1024—1041.
  • Beer, M. (2007): Model-free samplingStructural safety; 29(1): 49—65.
  • Berkhahn, V. (2007): Überblick zum Themenbereich Netzwerkgerechte ProzessmodellierungVernetzt - kooperative Planungsprozesse im Konstruktiven Ingenieurbau.
  • Berkhahn, V.; Klinger, A.; Hofmann, F.; König, M. (2007): Relationale Prozessmodellierung in kooperativer GebäudeplanungVernetzt - kooperative Planungsprozesse im Konstruktiven Ingenieurbau.
  • Spanos, P. D.; Beer, M.; Red-Horse, J. (2007): Karhunen–Loéve Expansion of Stochastic Processes with a Modified Exponential Covariance KernelJournal of Engineering Mechanics; 133(7): 773—779.
  • Graf, W.; Möller, B.; Beer, M. (2006): Zum Einfluss der Datenbasis auf Tragwerkssicherheit und VersagensrisikoWissenschaftliche Zeitschrift der Technischen Universität Dresden; 55(3-4): 49—53.
  • Möller, B.; Beer, M.; Graf, W.; Sickert, J. U. (2006): Time-dependent reliability of textile-strengthened RC structures under consideration of fuzzy randomnessComputers and Structures; 84(8-9): 585—603.
  • Berkhahn, V.; Tilleke, S.; Schleinkofer, M.; Rank, E. (2005): Re-Engineering im Konstruktiven Ingenieurbau, von der Bauzeichnung zum ProduktmodellBauingenieur; 80: 509—516.
  • Beer, M. (2004): Uncertain structural design based on nonlinear fuzzy analysisZAMM - Zeitschrift fur Angewandte Mathematik und Mechanik; 84(10-11): 740—753.
  • Möller, B.; Graf, W.; Beer, M. (2004): Discussion on ''Structural reliability analysis through fuzzy number approach, with application to stability''Computers and Structures; 2(82): 325—327.
  • Möller, B.; Graf, W.; Beer, M. (2003): Safety assessment of structures in view of fuzzy randomnessComputers and Structures; 81(15): 1567—1582.
  • Möller, B.; Beer, M.; Graf, W.; Hoffmann, A.; Sickert, J. (2000): Modellierung von Unschärfe im IngenieurbauBauinformatik; 3: 21—25.
  • Möller, B.; Graf, W.; Beer, M. (2000): Fuzzy-Tragwerksanalyse - Tragwerksanalyse mit unscharfen ParameternBauingenieur; 75(11): 697—708.
  • Möller, B.; Graf, W.; Beer, M. (2000): Fuzzy structural analysis using α-level optimizationComputational Mechanics; 26(6): 547—565.
  • Beer, M.; Graf, W.; Hoffmann, A. (1999): Possibility Theory Based Safety AssessmentComputer-Aided Civil and Infrastructure Engineering; 14(2): 81—91.

Konferenzbeiträge

  • Behrendt, M.; Bittner, M.; Beer, M. (2022): Stochastic process generation from relaxed power spectra utilising stochastic harmonic functionsProceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), Hannover, Germany.
    DOI: 10.3850/978-981-18-5184-1_MS-01-220-cd
  • Behrendt, M.; de Angelis, M.; Comerford, L.; Beer, M. (2022): Assessing the severity of the missing data problem with the interval DFT algorithmProceedings of the 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland.
    DOI: 10.3850/978-981-18-5183-4_S14-05-243-cd
  • Behrendt, M.; Faes, M.G.R.; Valdebenito, M.A.; Beer, M. (2022): Capturing Epistemic Uncertainties in the Power Spectral Density for Limited Data SetsProbabilistic Safety Assessment and Management PSAM 16, Honolulu, USA. Weitere Informationen
  • Behrendt, M.; Kitahara, M.; Kitahara, T.; Comerford, L.; Beer, M. (2022): Classification of power spectra from data sets with high spectral variance for reliability analysis of dynamic structuresProceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022)
    DOI: 10.3850/978-981-18-5184-1_MS-11-160-cd
  • Bittner, M.; Behrendt, M.; Behrensdorf, J.; Beer, M. (2022): Epistemic Uncertainty Quantification of Localised Seismic Power Spectral DensitiesProbabilistic Safety Assessment and Management PSAM 16, Honolulu, USA. Weitere Informationen
  • Fragkoulis V. C.; Kougioumtzoglou I. A. (2022): Survival probability determination of nonlinear oscillators with fractional derivative terms under evolutionary stochastic excitationProceedings of the Engineering Mechanics Institute Conference (EMI 2022), May 31 – June 3, 2022, John Hopkins University, Baltimore, USA.
  • Fragkoulis V. C.; Kougioumtzoglou I. A.; Pantelous A. A.; Beer M. (2022): Joint statistics of natural frequencies of linear structural systems with singular matricesProceedings of the 13th International Conference On Structural Safety And Reliability (ICOSSAR 2021-2022), 13-17 September, 2022, Tongji University, Shanghai, China.
  • Grashorn, J.; Bittner, M.; Wang, C.; Beer, M. (2022): The Log-Rayleigh Distribution for Local Maxima of spectrally Represented Log-normal ProcessesProceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany.
  • Kitahara, M.; Bi, S.; Broggi, M.; Beer, M. (2022): Adaptive Kriging surrogate model for Bayesian model updating with Bhattacharyya distance metricProceedings of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021-2022), China.
  • Ni P.; Fragkoulis V. C.; Kong F.; Mitseas I. P.; Beer M. (2022): Response of an MDOF nonlinear system with constraints under combined deterministic and non-stationary stochastic excitationProceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), 4-7 September, 2022, Leibniz University Hannover, Hannover, Germany.
  • Ni P.; Fragkoulis V. C.; Kong F.; Mitseas I. P.; Beer M. (2022): Equivalent statistical quadratization based response analysis for nonlinear oscillators with fractional derivative termsProceedings of the 14th International Conference on Computational Structures Technology (CST 2022), 23-25 August, 2022, Montpellier, France.
  • Ni P.; Fragkoulis V. C.; Kong F.; Mitseas I. P.; Beer M. (2022): Response determination of a nonlinear energy harvesting device under combined stochastic and deterministic loadsProceedings of the 13th International Conference On Structural Safety And Reliability (ICOSSAR 2021-2022), 13-17 September, 2022, Tongji University, Shanghai, China.
  • Ni P.; Kougioumtzoglou I. A.; Mitseas I. P.; Fragkoulis V. C.; Beer M. (2022): Stochastic dynamics framework for nonlinear oscillators endowed with fractional derivative elements under compatible design-spectrum seismic excitationProceedings of the International Conference on Nonlinear Solid Mechanics (ICoNSoM) 2022, 13-16 June, Alghero, Sardinia, Italy.
  • Pasparakis G. D.; Fragkoulis V. C.; Kong F.; Beer M. (2022): Stochastic response analysis of a piezoelectric harvesting device subjected to non-stationary loadingProceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), 4-7 September, 2022, Leibniz University Hannover, Hannover, Germany.
  • Pasparakis G. D.; Fragkoulis V. C.; Kong F.; Beer M. (2022): Joint time-frequency response analysis of linear systems with singular matricesProceedings of the 13th International Conference On Structural Safety And Reliability (ICOSSAR 2021-2022), 13-17 September, 2022, Tongji University, Shanghai, China.
  • Pasparakis G. D.; Fragkoulis V. C.; Kougioumtzoglou I. A.; Beer M. (2022): Discovering nonlinear structural system dynamics based on compressive sampling concepts and toolsProceedings of the Engineering Mechanics Institute Conference (EMI 2022), May 31 - June 3, 2022, John Hopkins University, Baltimore, USA.
  • De Angelis, M.; Behrendt, M.; Comerford, L.; Zhang, Y.; Beer, M. (2021): Forward interval propagation through the discrete Fourier transformThe 9th international workshop on Reliable Engineering Computing
    arXiv: arXiv:2012.09778
  • Faes, M.G.R., Fragkoulis, V.C., Ni, P., Valdebenito, M.A., Jerez, D., and Beer, M. (2021): Breaking the double loop in nonlinear dynamic reliability analysis under epistemic uncertaintyProceedings of the 8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2021), Athens, Greece, 27-30 June, 2021.
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., and Beer, M. (2021): On the random eigenvalue problem for linear structural systems with singular matrices and parametric uncertaintiesIn: Proceedings of the Engineering Mechanics Institute Conference (EMI/PMC 2021), May 25-28, 2021, Columbia University, New York, USA.
  • Karageorgos, A.D., Moysis, L, Fragkoulis, V.C., Kougioumtzoglou, I.A., and Pantelous, A.A. (2021): A Weierstrass-Kronecker canonical form approach for stochastic response determination of linear systems with singular matricesProceedings of the Engineering Mechanics Institute Conference (EMI/PMC 2021), May 25-28, 2021, Columbia University, New York, USA.
  • Mitseas, I. P., Ni, P. , Fragkoulis, V.C., Kong, F., Beer M., and Fragiadakis, M. (2021): Stochastic nonlinear response of structural systems endowed with singular matrices subject to combined periodic and stochastic excitationsProceedings of the 8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2021), Athens, Greece, 27-30 June, 2021.
  • Salomon, J.; Göing, J.; Lück, S.; Broggi, M., Friedrichs, J., Beer, M. (2021): Sensitivity Analysis of an Aircraft Engine Model under Consideration of Dependent VariablesASME TURBOEXPO 2021: Turbomachinery Technical Conference & Exposition. The American Society of Mechanical Engineers (ASME), Pittsburgh, USA.
  • Behrendt, M.; Bittner, M.; Comerford, L.; Broggi, M.; Beer, M. (2020): Parameter Investigation of Relaxed Uncertain Power Spectra for Stochastic Dynamic SystemsProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
    DOI: 10.47964/1120.9311.18861
  • Bittner M.; Broggi M.; Beer M.; Chen J.; Li J. (2020): Reliability estimation of rare events for stochastic dynamic systems excited by stationary stochastic processesProceedings of the APSSRA 2020.
    DOI: https://doi.org/10.15083/00079789
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., and Beer, M. (2020): Response evolutionary power spectrum determination of nonlinear oscillators with fractional derivative elementsXI International Conference on Structural Dynamics (EURODYN 2020), 23-26 November, 2020, Athens, Greece.
  • Kitahara, M., Broggi, M. and Beer, M. (2020): Bayesian model updating for existing seismic-isolated bridges using observed acceleration response dataProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
    DOI: https://doi.org/10.47964/1120.9291.18937
  • Kitahara, M., Broggi, M. and Beer, M. (2020): Implementation of adaptive Kriging surrogate model for seismic reliability analysis of existing bridgesProceedings of the Seventh Asian-Pacific Symposium on Structural Reliability and Its Applications (APSSRA 2020), Tokyo, Japan.
    DOI: http://doi.org/10.15083/00079768
  • Mitseas I. P. (2020): Incremental nonlinear stochastic dynamics technique of the first-passage timeProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted).
  • Ni P., Mitseas I. P., Fragkoulis V. C., Kougioumtzoglou I. A., Beer M. (2020): Peak response determination of nonlinear oscillators with fractional derivative elements under code-compliant stochastic seismic excitationsProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted).
  • Pasparakis G., Fragkoulis V. C., Comerford L., Mitseas I.P., Beer M. (2020): Response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices subjected to non-stationary stochastic excitationproceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted). | Datei |
  • Pasparakis, G., Comerford, L., Kougioumtzoglou, I. A., Beer M. (2020): Wind field data extrapolation based on wind turbine measurement records via compressive samplingproceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted). | Datei |
  • Salomon, J; Winnewisser, N.; Wei, P.F.; Broggi, M.; Beer, M. (2020): Efficient Reliability Analysis of an Axial Compressor in Consideration of Epistemic Uncertaintye-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. | Datei |
    ISBN: 978-981-14-8593-0
  • Behrendt, M., Comerford, L., Beer, M. (2019): Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings.IEEE Symposium Series on Computational Intelligence (SSCI).
    DOI: 10.1109/SSCI44817.2019.9002899
  • Behrendt, M., Comerford, L., Beer, M., (2019): Relaxed Stationary Power Spectrum Model Using Imprecise ProbabilitiesCOMPDYN Proceedings, 1, pp. 592-599.
    DOI: 10.7712/120119.6941.19045
  • Behrendt, M.; Comerford, L.; Beer, M. (2019): Stochastic Processes Identification from Data Ensembles via Power Spectrum Classification.13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13).
    DOI: 10.22725/ICASP13.407
  • Bittner, M.; Broggi, M.; Beer M. (2019): Rare Event Modelling for Stochastic Dynamic Systems approximated by the Probability Density Evolution MethodProceedings of the 29th European Safety and Reliability Conference (ESREL).
    DOI: 10.3850/978-981-11-2724-3_0735-cd
  • Eckert, C.; Beer, M.; Spanos, P. D. (2019): B-Spline based Polynomial Chaos for Stochastic Galerkin Methods2019 EMI International Conference, Lyon, France.
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., and Beer, M. (2019): Nonstationary stochastic response determination of nonlinear oscillators with fractional derivative elementsProceedings of the Engineering Mechanics Institute International Conference (EMI International 2019), July 3-5, 2019, Lyon, France.
  • Ilsemann, T.; Potthast, T.; Moritz, P.; Eckert, C. (2019): Visualisierung stochastischer Phänomene bei einfachen struckturmechanischen Problemen mit Hilfe virtueller Realität31. Forum Bauinformatik, Berlin, Deutschland.
  • Mitseas I. P. (2019): An effective random vibration analysis technique for nonlinear MDOF structural systems response determination via a stochastic averaging approachProceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019.
  • Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2019): An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysisProceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP 13), Seoul, South Korea, 26-30 May, 2019.
  • Ni P., Mitseas I. P., Beer M. (2019): An approximate stochastic dynamics framework for inelastic response determination of hysteretic MDOF structural systems subject to code-compliant non-stationary stochastic seismic excitationProceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019.
  • Pasparakis G., Fragkoulis V. C., Comerford L., Mitseas I. P., Beer M. (2019): A harmonic wavelets based analysis for the response determination of linear and nonlinear MDOF structural systems with singular matricesProceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019.
  • Salomon, J.; Behrensdorf, J.; Broggi, M.; Weber, S.; Beer, M. (2019): Multidimensional Resilience Decision-Making On A Multistage High-Speed Axial Compressor29th International European Safety and Reliability Conference, ESREL 2019, Hannover, Germany. | Datei |
    DOI: 10.3850/978-981-11-2724-3 0992-cd
    ISBN: 978-981-11-2724-3
  • Behrendt, M.; Punurai, W.; Beer, M. (2018): Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings7th Asia Conference on Earthquake Engineering, 22-25 November 2018, Bangkok, Thailand.
    DOI: 10.15488/4957
  • Behrensdorf, J.; Broggi, M.; Beer, M. (2018): Imprecise reliability analysis of complex interconnected networks28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
    DOI: 10.1201/9781351174664-325
    ISBN: 978-081538682-7
  • Berkhahn, V.; Kleiber, M.; Schiermeyer, C.; Weber, S. (2018): Modeling Traffic Accidents Caused by Random MisperceptionIEEE Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA.
    DOI: 10.1109/ITSC.2018.8569483
  • Diekmann, N.; Schiermeyer, C. (2018): Modellierung und Simulation von ÖPNV auf gemeinsam genutzten Verkehrsflächen30. Forum Bauinformatik, Weimar.
  • Eckert, C.; Beer, M.; Spanos, P. D. (2018): B-Spline based Polynomial Chaos Approximation for Random Variables8th Conference on Computational Stochastic Mechanics, Paros, Greece.
  • Eckert, C.; Beer, M.; Spanos, P. D. (2018): Polynomial Chaos Approximation Using B-SplinesWorld Congress in Computational Mechanics, New York, USA.
  • Feng, G.; George-Williams, H.; Patelli, E.; Coolen, F.P.A.; Beer, M. (2018): An efficient reliability analysis on complex non-repairable systems with common-cause failures28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
    ISBN: 978-081538682-7
  • Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer (2018): Risk Analysis of Infinite Slope Failure using Advanced Bayesian NetworksProc. of the 8th International Workshop on REC 2018, Liverpool, UK.
  • Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer. (2018): Risk Assessment for Slope Stability with Enhanced Bayesian Networks MethodsProc. of the 6th ISRERM conference, Singapore 2018
    DOI: 10.3850/978-981-11-2726-7_CTC304S3MRS04
  • Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2018): An efficient stochastic complex modal analysis technique for nonclassically damped and nonlinear MDOF structural systemsProceedings of the Engineering Mechanics Institute International Conference (EMI-IC 2018), Shanghai, China, 2-4 November, 2018.
  • Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2018): Nonlinear MDOF system non-stationary stochastic response determination via statistical linearization and complex modal analysisProceedings of the International Engineering Mechanics Institute Conference (EMI 2018), M.I.T., Cambridge MA, USA, 29 May - 1 June, 2018.
  • Morais, C., Moura, R., Beer, M., Patelli, E. (2018): Attempt to predict human error probability in different industry sectors using data from major accidents and Bayesian networksProbabilistic Safety Assessment and Management, PSAM 2018, Los Angeles, USA.
  • Morais, C.; Moura, R.; Beer, M.; Patelli, E. (2018): Human reliability analysis - accounting for human actions and external factors through the project life cycle28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
    ISBN: 978-081538682-7
  • Pascucci, F.; Rinke, N.; Schiermeyer, C.; Berkhahn, V.; Friedrich, B. (2018): Should I Stay or Should I Go? A Discrete Choice Model for Pedestrian–Vehicle Conflicts in Shared SpaceTransportation Research Board (TRB) 97th Annual Meeting, Washington DC, USA.
  • Regenhardt, T.-E.; Wei, L.; Broggi, M.; Beer, M (2018): Applying Graph Theory and Lifeline Reliability to the System Survival Signature6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore.
    DOI: 10.3850/978-981-11-2726-7_CRR19
  • Regenhardt, T.-E; Azad, M.S.; Punurai, W.; Beer, M. (2018): A Novel Application of System Survival Signature in Reliability Assessment of Offshore StructuresAdvances in Intelligent Systems and Computing 866:11-20, International Conference on Intelligent Computing and Optimization, ICO 2018, Pattaya, Thailand.
    DOI: 10.1007/978-3-030-00979-3_2
  • Salomon, J.; Kruse, S.; Broggi, M.; Weber, S.; Beer, M. (2018): Decision-making for resilience-enhancing endowments in complex systems using principles of risk measures6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore. | Datei |
  • Yusmye, A.Y.N.; Ariffin, A.K.; Abdullah, S.; Singh, S.S.K.; Beer, M. (2018): Application of fuzzy finite element method in addressing the presence of uncertainties28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway.
    ISBN: 978-081538682-7
  • Beer, M., Gong, Z., Diaz De La, O.F.A., Kreinovich, V. (2017): How Accurate Are Expert Estimations of Correlation?2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
    DOI: 10.1109/SSCI.2017.8280790
  • Behrensdorf, J.; Broggi, M.; Brandt, S.; Beer, M. (2017): Numerically efficient reliability analysis of interdependent networks27th European Safety and Reliability Conference - ESREL 2017.
    DOI: 10.1201/9781315210469-298
  • Berthold, T.; Leichter, A.; Rosenhahn, B.; Berkhahn, V.; Valerius, J. (2017): Seabed sediment classification of side-scan sonar data using convolutional neural networks2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
    DOI: 10.1109/SSCI.2017.8285220
  • Bi, S.; Beer, M. (2017): Experimental Modal Analysis and Model Identification of vibroacoustic Systems in Aerospace EngineeringInternational Conference in Aerospace for Young Scientists (ICAYS), Beijing.
  • Brandt, S.; Broggi, M.; Hafele, J.; Guillermo Gebhardt, C.; Rolfes, R.; Beer, M. (2017): Meta-models for fatigue damage estimation of offshore wind turbines jacket substructuresEURODYN 2017, Procedia Engineering, Volume 199, 2017, Pages 1158-1163.
    DOI: 10.1016/j.proeng.2017.09.292
  • Broggi, M., Faes, M., Patelli, E., Govers, Y, Moens, D., Beer, M. (2017): Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
    DOI: 10.1109/SSCI.2017.8280882
  • Comerford, L., Beer, M., Lu, N. (2017): Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA.
    DOI: 10.1109/SSCI.2017.8285295
  • Feng, G.; Reed, S.; Patelli, E.; Beer, M.; Coolen, F.P.A. (2017): Efficient reliability and uncertainty assessment on lifeline networks using the survival signatureUNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2017, pp. 90-99.
    DOI: 10.7712/120217.5354.16865
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., Pirrotta, A. (2017): A frequency domain methodology for determining the stochastic response of systems with singular matricesProceedings of the Engineering Mechanics Institute Conference (EMI 2017), UC San Diego, June 4-7, 2017.
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., Pirrotta, A. (2017): A Moore-Penrose frequency domain approach for stochastic response determination of structural systems with singular matricesProceedings of the 12th International Conference On Structural Safety And Reliability (ICOSSAR 2017), 6-10 August, 2017, TU Wien, Vienna, Austria.
  • Glišić, A.; Schaumann, P.; Broggi, M.; Beer, M. (2017): Sensitivity Analysis of Material and Load Parameters to Fatigue Stresses of an Offshore Wind Turbine Monopile SubstructureEURODYN 2017, Procedia Engineering, Volume 199, 2017, Pages 1228-1233.
    DOI: 10.1016/j.proeng.2017.09.255
  • Gong, Z.; Diazdelao, F.A.; Beer, M. (2017): Sampling schemes for history matching using subset simulationUNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2017, pp. 154-164.
    DOI: 10.7712/120217.5359.16948
  • Mitseas I. P., Kougioumtzoglou I. A., Beer M. (2017): An approximate stochastic dynamics approach for inelastic stochastic design spectrum-based analysisProceedings of the International Engineering Mechanics Institute Conference (EMI 2017), San Diego, USA, 4-7 June, 2017.
  • Mitseas I. P., Kougioumtzoglou I. A., Giaralis A., Beer M. (2017): A stochastic dynamics approach for seismic response spectrum-based analysis of hysteretic MDOF structuresProceedings of the 12th International Conference on Structural Safety and Reliability (ICOSSAR 2017), Vienna, Austria, 6-10 August, 2017.
  • Patelli, E.; Broggi, M.; Govers, Y.; Mottershead, J.E. (2017): Model Updating Strategy of the DLR-AIRMOD Test StructureEURODYN 2017, Procedia EngineeringVolume 199, 2017, Pages 978-983.
    DOI: 10.1016/j.proeng.2017.09.221
  • Rinke, N., Schiermeyer, C., Pascucci, F., Berkhahn, V., Friedrich, B. (2017): A multi-layer social force approach to model interactions in shared spaces using collision predictionTransportation Research Procedia, 25: 1249–1267.
    DOI: 10.1016/j.trpro.2017.05.144
  • Schiermeyer, C.; Pascucci, F.; Rinke, N.; Berkhahn, V.; Friedrich, B. (2017): Modeling and Solving of Multiple Conflict Situations in Shared SpacesTraffic and Granular Flow (TGF) 2017, Washington DC, USA.
  • Beer, M.; Feng, G.; Patelli, E.; Broggi, M.; Coolen, F.P.A. (2016): Reliability Assessment of Systems with Limited InformationKim, S.-H.; Kong, J.S. (eds.): Proceedings of the 5th International Symposium on Reliability Engineering and Risk Management (ISRERM2016), Yonsei University, Seoul, Korea, 19-22.
  • Behrendt, M.; Brandt, S.; Eckert, C. (2016): Optimierung von Gebietszerlegungen mit Hilfe der Partikelschwarmoptimierung28. Forum Bauinformatik, Hannover, Deutschland.
  • Behrensdorf, J.; Eckert, C.; Berkhahn, V. (2016): Comparing Isogeometric Mesh Generation Techniques for Curve to Area ParametrizationIV. International Conference on Isogeometric Analysis, San Diego, California.
  • Bi, S.; Sagnard, M.; Foltête, E.; Ouisse, M.; Jund, A. (2016): Identification of reduced and uncoupled models in vibroacoustical experimental modal analysisThe 27th International Conference on Noise and Vibration Engineering (ISMA), Leuven, Belgium.
  • Domenico Altieri; Enrico Tubaldi; Matteo Broggi; Edoardo Patelli (2016): Reliability-based methodology for the optimal design of viscous dampers14th International Probabilistic Workshop, Ghent, Belgium, December 2016.
  • Feng, G.; Patelli, E.; Beer, M. (2016): Reliability Analysis of Complex Systems with Uncertainties by Monte Carlo Simulation MethodHuang, H.; Li, J.; Zhang, J.; Chen J.B. (eds.): Proceedings of the 6th Asian-Pacific Symposium on Structural reliability and its Applications (APSSRA’6), Tongji University Press, China, 353-358.
  • Feng, G.; Patelli, E.; Beer, M.; Coolen, F.P.A. (2016): Component importance measures for complex repairable systemWalls, L.; Revie, M.; Bedford, T. (eds.): Risk, Reliability and Safety: Innovating Theory and Practice, Proceedings of the European Safety and Reliability Conference (ESREL 2016), Taylor & Francis Group, London, 1580-1585.
  • Gong, Z.T.; DiazDelaO, F.A.; Beer, M. (2016): Bayesian model calibration using subset simulationWalls, L.; Revie, M.; Bedford, T. (eds.): Risk, Reliability and Safety: Innovating Theory and Practice, Proceedings of the European Safety and Reliability Conference (ESREL 2016), Taylor & Francis Group, London, 293-298.
  • Lu, N.; Noori, M.; Beer, M. (2016): Dynamic Reliability Assessment for Long-Span Bridges under Heavy Stochastic Traffic FlowsFreitag, S.; Muhanna, R.L.; Mullen, R.L. (eds.): Proceedings of the 7th International Workshop on Reliable Engineering Computing (REC2016), Computing with Polymorphic Uncertain Data, Ruhr Universität Bochum, Germany, 515-523.
  • Michael Beer; Ioannis A. Kougioumtzoglou; Edoardo Patelli; Matteo Broggi (2016): Dealing with vague and limited information in uncertainty quantification7th International Workshop on Reliable Engineering Computing (REC2016) June 15-17, 2016, Ruhr University Bochum, Germany.
  • Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll, F. (2016): Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of designWalls, L.; Revie, M.; Bedford, T. (eds.): Risk, Reliability and Safety: Innovating Theory and Practice, Proceedings of the European Safety and Reliability Conference (ESREL 2016), Taylor & Francis Group, London, 228-236.
  • Schiermeyer, C.; Pascucci, F.; Rinke, N. (2016): A genetic algorithm approach for the calibration of a social force based model for shared spacesProceedings of Pedestrian and Evacuation Dynamics 2016, University of Science and Technology of China Press
  • Spanos, P. D. , Fragkoulis, V. C., Kougioumtzoglou, I. A., Pantelous, A. A. (2016): Random vibration integrals for systems endowed with fractional derivative elementsProceedings of the Engineering Mechanics Institute Conference, and Probabilistic Mechanics & Reliability Conference (EMI 2016 & PMC 2016), Vanderbilt University, May 22-25, 2016.
  • Valdebenito, M.A.; Pérez, C.A.; Jensen, H.A.; Beer, M. (2016): Approximation Concepts for Fuzzy Analysis in Structural DynamicsFreitag, S.; Muhanna, R.L.; Mullen, R.L. (eds.): Proceedings of the 7th International Workshop on Reliable Engineering Computing (REC2016) Computing with Polymorphic Uncertain Data, Ruhr Universität Bochum, Germany, 211-223.
  • Broggi, M.; Rocchetta, R.; Patelli, E. (2015): Efficient epistemic-aleatory uncertainty quantification application to the nafems challenge problemNAFEMS World Congress 2015, San Diego, California.
  • Comerford, L.; Kusanovic, D.; Kougioumtzoglou, I. A.; Jensen, H. A.; Beer, M. (2015): Structural system response and reliability analysis under imcomplete earthquake recordsHaukaas, T. (ed): Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering 2015 (ICASP12), paper 131.
  • Doell, C.; Held, P.; Moura, R.; Kruse, R.; Beer, M. (2015): Analysis of a Major-Accident Dataset by Association Rule Mining to Minimise Unsafe InterfacesPatelli, E.; Kougioumtzoglou, I. (eds.): Proceedings of the 13th International Probabilistic Workshop, Institute for Risk & Uncertainty, University of Liverpool, UK, paper 092.
  • Feng, G.; Patelli, E.; Beer, M. (2015): Survival signature-based sensitivity analysis of systems with epistemic uncertaintiesPodofillini et al. (eds.): Safety and Reliability of Complex Engineered Systems, Proceedings of the European Safety and Reliability Conference (ESREL 2015), Taylor & Francis Group, London, 1547-1552.
  • Feng, G.; Patelli, E.; Beer, M. (2015): Reliability Analysis of Systems Based on Survival SignatureHaukaas, T. (ed): Proceedings of the 12th International Conference on Applications of Statistics and Probability in Soil and Structural Engineering 2015 (ICASP12), paper 314.
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A. (2015): Statistical linearization of nonlinear systems with singular mass matricesProceedings of the Engineering Mechanics Institute Conference (EMI 2015), Stanford University, June 16-19, 2015.
  • John Mottershead; Matteo Broggi; Herbert Martins Gomes; Yves Govers; Hamed Haddad Khodaparast; Michael Link; Edoardo Patelli; Tiago A N Silva (2015): Perspectives on model updatingInternational Conference on Structural Engineering Dynamics (ICEDyn 2015), 3-5 July 2015; Logos, Portugal.
  • Matteo Broggi; Edoardo Patelli; Hamed Haddad Khodaparast (2015): Bayesian model updating of the DLR AIRMOD test structure1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, 25-27 May 2015, Crete Island, Greece.
  • Miro S., König M., Schanz T. (2015): The influence of subsoil mechanical properties description on geotechnical computations – An example of mechanized tunnelingRuhGeo Tag. Dortmund, Germany, March 2015.
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2015): An approximate stochastic dynamics approach for efficient performance-based earthquake engineeringProceedings of the International Engineering Mechanics Institute Conference (EMI 2015), Stanford, USA.
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2015): Fragility analysis of hysteretic MDOF structural systems subject to evolutionary stochastic excitationsProceedings of the 8th GRACM International Congress on Computational Mechanics (GRACM 15), Volos, Greece.
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2015): Nonlinear stochastic dynamic analysis for performance based multi-objective optimum design considering life cycle seismic loss estimationProceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP 12), Vancouver, Canada.
    DOI: 10.14288/1.0076149
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Spanos, P. D.; Beer, M. (2015): Reliability assessment of nonlinear MDOF systems subject to evolutionary stochastic excitationDeodatis, G.; Spanos, P.D. (eds.): Computational Stochastic Mechanics, Proceedings of the 7th International Conference on Computational Stochastic Mechanics (CSM 7), Research Publishing Services, Singapore, 420-431.
  • Morais, C.; Moura, R.; Beer, M.; Lewis, J. (2015): Human factors and quality control procedures: An example from the offshore oil & gas industryPodofillini et al. (eds.): Safety and Reliability of Complex Engineered Systems, Proceedings of the European Safety and Reliability Conference (ESREL 2015), Taylor & Francis Group, London, 3835-3841.
  • Moura, R.; Beer, M.; Lewis, J.; Patelli, E. (2015): Learning from Accidents: Analysis and Representation of Human Errors in Multi-attribute EventsHaukaas, T. (ed): Proceedings of the 12th International Conference on Applications of Statistics and Probability in Soil and Structural Engineering 2015 (ICASP12), paper 190.
  • Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll F. (2015): Learning from accidents: Analysis of multi-attribute events and implications to improve design and reduce human errorsPodofillini et al. (eds.): Safety and Reliability of Complex Engineered Systems, Proceedings of the European Safety and Reliability Conference (ESREL 2015), Taylor & Francis Group, London, 3049-3056.
  • Moura, R.; Doell, C.; Beer, M.; Kruse, R. (2015): A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human ErrorsEngelbrecht, A. (ed.): Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence (SSCI), 2015 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), IEEE Computational Intelligence Society, Cape Town, South Africa, 1838-1843.
  • Pascucci, F.; Rinke, N.; Schiermeyer, C.; Friedrich, B.; Berkhahn, V. (2015): Modeling of shared space with multi-modal traffic using a multi-layer social force approachTransportation Research Procedia; 10: 316-326.
  • Patelli, E.; Broggi, M. (2015): Uncertainty management and resilient design of safety critical systemsNAFEMS World Congress 2015, San Diego, California.
  • Rocchetta, R.; Broggi, M.; Patelli, E.; Huchet, Q. (2015): Likelihoods Comparison in a Bayesian Updating Procedure for Fatigue Crack DetectionSafety and Reliability of Complex Engineered Systems: ESREL 2015 7-10 September 2015, Zurich, Switzerland.
  • Schiermeyer, C.; Tuck, K. (2015): Ein multi-modales Soziale-Kräfte-Modell für gemeinsam genutzte Verkehrsflächen27. Forum Bauinformatik, Aachen.
  • Tolo, S.; Patelli, E.; Beer, M.; Broggi, M. (2015): Enhanced Bayesian Networks approach to risk assessment of spent fuel pondsInternational Conference on Applications of Statistics and Probability in Civil Engineering.
  • Trefolini, E.; Tolo, S.; Patelli, E.; Broggi, M.; Disperati, L.; Le Tuan, H. (2015): Uncertainty on shallow landslide hazard assessment: from field data to hazard mappingEuropean Geosciences Union, General Assembly, Vienna.
  • Wischmeier, C.; Kerfriden, P.; Berkhahn, V. (2015): Isogeometric coupling of the Reissner-Mindlin plate and solids using Nitsche's method with an analytical stability criterionIII. International Conference on Isogeometric Analysis, Trondheim, Norwegen.
  • Wittich, D.; Rinke, N. (2015): Modellierung und Optimierung der Trassenallokation27. Forum Bauinformatik, Aachen.
  • Beaurepaire, P.; Broggi, M.; Patelli, E. (2014): Computation of the Sobol'Indices using Importance SamplingSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), 13-16 July 2014, Liverpool; UK.
  • Berthold, T. (2014): Trainieren von Feedforward-Netzen mit Nebenbedingungen am Beispiel einer Korngrößenverteilung26. Forum Bauinformatik, Darmstadt.
  • Bode, M.; Berkhahn, V. (2014): Multiskalenansatz für reaktive Prozess- und AblaufplanungASIM 2014, 22. Symposium Simulationstechnik.
  • Brandt, S. (2014): Ablaufplanung unter Berücksichtigung von Unschärfe26. Forum Bauinformatik 2014, Darmstadt.
  • Comerford, L.; de Angelis, M.; Mannis, A.; Beer, M.; Kougioumtzoglou, I. (2014): An open approach to educational resource development, with a specific example from structural engineering42nd Annual Conference of the European Society for Engineering Education (SEFI).
  • Comerford, L.; Kougioumtzoglou, I. A.; Beer, M. (2014): Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basisProceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).
  • Comerford, L.; Kougioumtzoglou, I.; Beer, M. (2014): A compressive sensing based approach for evolutionary power spectrum estimation subject to missing dataProceedings of the 7th International Conference on Stochastic Mechanics (CSM).
  • Comerford, L.; Kougioumtzoglou, I.; Beer, M. (2014): A compressive sensing based approach for estimating stochastic process power spectra subject to missing data Spec uncertaintyProceedings of the 9th International Conference on Structural Dynamics (EURODYN), Reliability and robustness of dynamic systems.
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A. (2014): Random vibration of linear systems with singular mass matricesProceedings of the 7th International Conference on Computational Stochastic Mechanics (CSM 7), Santorini, Greece, 15-18 June, 2014, G. Deodatis, P. D. Spanos (Eds.), Research Publishing, p. 277-285.
    ISBN: 978-981-09-5348-5
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., Pirrotta, A. (2014): Higher order matrix differential equations with singular coefficient matricesProceedings of the 12th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2014), Rhodes, Greece, 22-28 September, 2014, American Institute of Physics (AIP) Conf. Proc. 1648, 340002-1340002-4.
    DOI: 10.1063/1.4912578
  • Gomes, H. M.; Broggi, M.; Patelli, E.; Mottershead, J. E. (2014): Model Updating by Uncertain Parameter InferenceSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), 13-16 July 2014, Liverpool; UK.
  • Gösseln, I.; Kochkine, V.; Rinke, N. (2014): Umgang mit Abweichungen und Störungen bei der Petri-Netz-basierten Modellierung von Bau- und Messprozessen17. Internationaler Ingenieurvermessungskurs, Zürich, Schweiz.
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2014): Optimal design of nonlinear structures under evolutionary stochastic earthquake excitationsProceedings of the International Conference on Engineering and Applied Sciences Optimization (OPT-i), Kos, Greece.
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M.; Patelli, E.; Mottershead, J. E. (2014): Robust design optimization of dynamical systems under evolutionary stochastic seismic excitationProceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2014) & 6th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2014), Liverpool, UK.
    DOI: 10.1061/9780784413609.022
  • Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll, F. (2014): Human error analysis: Review of past accidents and implications for improving robustness of system designNowakowski et al. (eds.): Safety and Reliability: Methodology and Applications, Proceedings of the European Safety and Reliability Conference, ESREL 2014, CRC Press, Taylor & Francis Group, Boca Raton, London, New York, Leiden, 1037-1046.
  • Ninic J., Miro S., Meschke G., Hartmann D., Schanz T. (2014): Metamodel-based sensitivity analysis of soil-structure interaction in urban tunnelingThe 14th International Conference of the International Association for Computer Methods and Advances in Geomechanics. Kyoto, Japan, September 2014.
  • Patelli, E.; Alvarez, D. A.; Broggi, M.; de Angelis, M. (2014): An integrated and efficient numerical framework for uncertainty quantification: application to the NASA Langley multidisciplinary Uncertainty Quantification Challenge16th AIAA Non-Deterministic Approaches Conference (SciTech 2014), Maryland.
  • Patelli, E.; Broggi, M.; de Angelis, M.; Beer, M. (2014): OpenCossan: An efficient open tool for dealing with epistemic and aleatory uncertaintiesSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), Liverpool, UK.
  • Tubaldi, E.; Dall'Asta, A.; Broggi, M.; Patelli, E.; de Angelis, M. (2014): Reliability-Based Design of Fluid Viscous Damper for Seismic Protection of Building FramesSecond International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), 13-16 July 2014, Liverpool; UK
  • Valdebenito, M.A.; Jensen, H.A.; Beer, M.; Perez, C.A. (2014): Approximation Concepts For Fuzzy Structural AnalysisBeer, M.; Au, S.K.; Hall, J.W. (eds.): Vulnerability, Uncertainty and Risk - Quantification, Mitigation and Management, Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling and Analysis (ISUMA), ASCE Council on Disaster Risk Management, Monograph No 9, CD-ROM, 135-144.
  • Wittich, D.; Rinke, N. (2014): Genetische Algorithmen für das Trassenallokationsproblem des spontanen Güterverkehrs26. Forum Bauinformatik, Darmstadt.
  • Broggi, M.; Beaurepaire, P.; Patelli, E. (2013): A Bayesian Framework for Crack Detection in Structural Components Under Dynamic ExcitationPrognostics and System Health Management Conference PHM-2013, Milan, Italy.
  • Comerford, L.; Kougioumtzoglou, I.; Beer, M. (2013): An artificial neural network based approach for power spectrum estimation subject to limited and/or missing dataProceedings of the 11th International Conference on Structural Safety & Reliability (ICOSSAR), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: 1083-1090.
  • Miro S., Hartmann D., Schanz T. (2013): Identification of a layer change in front of a mechanized tunnel face considering uncertaintiesThe 14th international conference on civil, structural and environmental engineering computing. Italy, September 2013.
  • Patelli, E.; Broggi, M. (2013): Sensitivity analysis of the effect of the efficient uncertainty in large Finite Element modelsNAFEMS World Congress 2013, Salzburg, Austria.
  • Patelli, E.; Broggi, M.; Beaurepaire, P. (2013): A bayesian model updating procedure for dynamic health monitoring4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2013).
  • Valdebenito, M.A.; Jensen, H.A.; Beer, M.; Perez, C.A. (2013): Approximate Fuzzy Structural Analysis Applying Taylor Series and Intervening VariablesProceedings of the 10th World Congress on Structural and Multidisciplinary Optimization (WCSMO 2013), CD-ROM, 1-10.
  • Wischmeier, C.; Rinke, N. (2013): Ein Soziale-Kräfte-Modell für gemeinsam genutzte Verkehrsflächen25. Forum Bauinformatik, München, Deutschland.
  • Albrecht, C.; Hosser, D.; Abu Abed, W.; Rinke, N.; Berkhahn, V. (2012): Numerical simulations of occupants evacuation within the context of life cycle engineering in building constructionIALLCE 2012 - 3th International Symposium on Life-Cycle Civil Engineering, Wien.
  • Asche, C.; Berkhahn, V. (2012): T-spline surface design in engineering14th International Conference on Computing in Civil and Building Engineering (ICCCBE), Moskau.
  • Behrensdorf, J.; Thiele, J.; Schiermeyer, C. (2012): Entwicklung eines Frameworks zur Berechnung allgemeiner n-dimensionaler Polytopschnitte24. Forum Bauinformatik, Bochum.
  • Berthold, T.; Milbradt, P.; Berkhahn, V. (2012): Morphodynamic Modeling in the German Bight Using ANNProceedings of 10th International Conference on Hydroscience and Engineering, Orlando, FL.
  • Bode, M.; Schiermeyer, C.; Berkhahn, V. (2012): Job scheduling using event-discrete simulation, pre-optimisation and just-in-time consideration of disturbance factorseWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2012.
  • Khaledi K., Miro S., Schanz T. (2012): Application of Metamodeling Techniques for Mechanized Tunnel Simulation.International scientific conference on mechanics, MECH2012, Sofia, Bulgaria, 2012.
  • Kochkine, V.; Rinke, N.; Schweitzer, J.; Gösseln, I. (2012): Simulation of process interaction for quality assurance during construction.CONVR 2012 Proceedings of 12th International Conference on Construction Applications of Virtual Reality, Taipei, Taiwan.
  • Miro S., Hartmann D., Schanz T., Zarev V. (2012): System identification methods for ground models in mechanized tunneling19th International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering. Weimar, 2012.
  • Miro S., Zarev V., Hartmann D., Schanz T. (2012): Scenario-driven system identification for the specification of ground models in mechanized tunneling14th International Conference on Computing in Civil and Building Engineering. Moscow, June 2012.
  • Rinke, N.; Gösseln, I.; Berkhahn, V. (2012): High-level Petri nets for modeling of geodetic processes and their integration into construction processesECPPM 2012 - eWork and eBusiness in Architecture, Engineering and Construction, Reykjavik.
  • Sämann, R.; Rinke, N. (2012): Kopplung von Verkehrsflusssimulation und Routensuche zur Verbesserung der Routenwahl24. Forum Bauinformatik.
  • B. Goller; M. Broggi; A. Calvi; G.I. Schuëller (2011): Efficient model updating of the GOCE satellite based on experimental modal data3rd International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2011), 26-28 May 2011, Island of Corfu, Greece
  • Beer, M.; Zhang, M.Q.; Quek, S.T.; Jensen, H.A. (2011): Reliability analysis of offshore structures with imprecise corrosion effectsDeodatis, G.; Spanos, P.D. (eds.): Computational Stochastic Mechanics Proceedings of the Sixth International Conference on Computational Stochastic Mechanics, Research Publishing Services, Singapore, 66-79.
  • Schiermeyer, C.; Berthold, T. (2011): Automatische Erkennung von Fußgängerströmen in digitalen Videoaufzeichnungen23. Forum Bauinformatik, Cork.
  • Wischmeier, C. (2011): Kopplung von Fußgängerevakulierung- und Brandsimulation23. Forum Bauinformatik, Cork, Irland.
  • Berkhahn, V.; Berthold, T.; Milbradt, P. (2010): B-Spline Volumes for Time Dependant Bathymetry ModellingProceedings of International Conference on Hydro-Science and Engineering (ICHE), IIT Madras, Chennai, India.
  • Berthold, T.; Milbradt, P.; Berkhahn, V. (2010): Determination of Network Topology for ANN-Bathymetric ModelsProceedings of 9th International Conference on Hydroscience and Engineering, IIT Madras.
  • Berthold, T.; Milbradt, P.; Berkhahn, V. (2010): Determination of network topology for artificial neural network bathymetric modelsProceedings of International Conference on Hydro-Science and Engineering (ICHE), IIT Madras, Chennai, India.
  • Höcker, M.; Berkhahn, V.; Kneidl, A.; Borrmann, A.; Rank, E. (2010): Graphbased approaches for simulating pedestrian dynamics in building modelsEuropean Conferences on Product and Process Modelling (ECPPM), Cork, Ireland.
  • Hofmann, F.; Bode, M.; Berkhahn, V. (2010): Logistic Cargo Loading OptimisationEuropean Conferences on Product and Process Modelling (ECPPM), Cork, Ireland.
  • Matteo Broggi; Gerhart I. Schuëller (2010): Accurate prediction of the statistical deviations of the buckling load of imperfect CFRP cylindrical shellsIV European Conference on Computational Mechanics, May 17 - 21, 2010; Paris, France.
  • Patelli, E.; Schuëller, G. I.; Pradlwarter, H. J.; Valdebenito, M. A.; Panayirci, H. M.; Goller, B.; Broggi, M.; Beaurepaire, P. (2010): COSSAN-X: A general purpose code for computational stochastic structural analysisIV European Conference on Computational Mechanics, Paris, France, EU, Paris.
  • Rinke, N. (2010): Strategien zur dynamischen Routensuche und Alternativroutenbestimmung mittels genetischer Algorithmen22. Forum Bauinformatik, Berlin.
  • Berthold, T.; Milbradt, P. (2009): Artificial Neuronal Networks in Environmental Engineering: Theory and ApplicationsProceedings of 18th IKM, Weimar.
  • M. Broggi; A. Calvi; G.I. Schuëller (2009): Reliability-based knock-down factor for axially compressed composite cylindrical shells with random imperfectionsECSSMMT 2009 - 11th European Conference on Spacecraft Structures, Materials and Mechanical Testing, 15-17 Sep 2009, Toulouse, France.
  • Rinke, N.; Hoffmann, F. (2009): Hybride Prozessoptimierung unter Berücksichtigung geometrischer Nebenbedingungen21. Forum Bauinformatik.
  • Hofmann, F.; Berkhahn, V.; Milbradt, P. (2008): Decision support in Petri nets via genetic algorithmseWork and eBusiness in Architecture, Engineering and Construction: ECPPM.
  • Zio, E.; Broggi, M.; Golea, L.; Pedroni, N. (2008): Predicting Reliability by Recurrent Neural Networks8th World Congress on Computational Mechanics (WCCM8) – 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), Venice, Italy.
  • Zio, E.; Pedroni, N.; Broggi, M.; Golea, L. (2008): Locally recurrent neural networks for nuclear dynamics modelingFLINS-The 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid, Spain.
  • Beer, M.; Red-Horse J.; Spanos, P.D. (2007): Efficiency Improvement of the Karhunen-Loéve Expansion of Stochastic Processes with Exponential CovarianceSpanos, P.D.; Deodatis, G. (eds.): Computational Stochastic Mechanics Proceedings of the Fifth International Conference on Computational Stochastic Mechanics, Millpress, Rotterdam, 81-88.
  • Hofmann, F.; Berkhahn, V. (2007): Adjusting a tool for collaborative planning to requirements in practice24th CIB-W78 Conference, Maribor.
  • Berkhahn, V.; Kaapke, K.; Rath, S. (2006): Trimmed Surfaces in a Hybrid Meshing ApproachInternational Association of Hydraulic Engineering and Research Congress (IAHR), Madras.
  • Berkhahn, V.; Mai, S. (2006): Detection of Terrain Features Embedded in a Pre-Processor for Topographic Data7th International Conference on Hydroinformatics (HIC 2006). Nice, France, Nice.
  • Stilhammer, J.; Klinger, A.; Berkhahn, V. (2006): Navigation within hierarchical graph systems for process modellingEuropean Conference on Product and Process Modelling (ECPPM), Valencia.
  • Beer, M.; Spanos, P.D. (2005): Neural networks in process simulationBathe, K.J. (ed.): Third M.I.T. Conference on Computational Fluid and Solid Mechanics, Cambridge, MA, USA, Compilation of Abstracts, 32.
  • Beer, M.; Spanos, P.D. (2005): Simulation based structural reliability assessment involving imprecise dataAugusti, G.; Schuëller, G.I.; Ciampoli, M. (eds.): 9th International Conference On Structural Safety And Reliability, Rome, Italy Safety and Reliability of Engineering Systems and Structures, Millpress, Rotterdam, CD-ROM, Doc. MS0704, 1725-1732.
  • Beer, M.; Spanos, P.D. (2005): Neural Network Based Monte Carlo Simulation Of Random ProcessesAugusti, G.; Schuëller, G.I.; Ciampoli, M. (eds.): 9th International Conference On Structural Safety And Reliability, Rome, Italy, Safety and Reliability of Engineering Systems and Structures, Millpress, Rotterdam, CD-ROM, Doc. 017, 2179-2186.
  • Berkhahn, V.; Kaapke, K.; Rath, S.; Pasche, E. (2005): Breakline Detection Embedded in a Hybrid Meshing SchemeProceedings of the XXXI International Association of Hydraulic Engineering and Research Congress, Seoul.
  • Berkhahn, V.; Kaapke, K.; Rath, S.; Pasche, E. (2005): A Hybrid Meshing Scheme Based on Terrain Feature IdentificationProceedings of the 14th International Meshing Roundtable, San Diego, California.
  • Berkhahn, V.; Klinger, A.; Rueppel, U.; Meissner, U. F.; Greb, S.; Wagenknecht, A. (2005): Process Modelling in Civil Engineering based on Hierarchical Petri NetsProceedings of the 22th International Conference on Information Technology for Construction CIB-W78, Dresden.
  • Berkhahn, V.; Komorowski, S. (2005): Neural Networks in the Re-Engineering Process based on Construction DrawingsProceedings of the 22th International Conference on Information Technology for Construction CIB-W78, Dresden.
  • Rath, S.; Pasche, E.; Berkhahn, V. (2005): Modeling High Resolution Remote Sensing Data for Flood Hazard AssessmentProceedings of the American Society for Photogrammetry and Remote Sensing ASPRS, Maryland.
  • Beer, M.; Spanos, P.D. (2004): A Neural Network Approach for Representing Realizations of Random ProcessesWojtkiewicz, S.; Red-Horse, J.; Ghanem, R. (eds.): 9th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability, Albuquerque, NM, USA, CD-ROM, Doc. 04_104, 1-6.
  • Berkhahn, V.; Kinkeldey, C.; Schleinkofer, M.; Rank, E. (2004): Re-Engineering Based on Construction Drawings-From Ground Floor Plan to Product ModelProceedings of the Xth international conference in computing in civil engineering, ICCCBE, Weimar.
  • König, M.; Klinger, A.; Berkhahn, V. (2004): Process modelling in building engineeringProceedings of the European Conference on Product and Process Modelling in Building and Construction Industry (ECPPM).

Wissenschaftliche Poster

  • Faes, M.; Valdebenito, M.; Beer, M. (2020): Breaking the double loop, Operator norm theory as an efficient tool to calculate imprecise probabilities | Datei |
  • Fragkoulis, V.C.; Kougioumtzoglou, I.A.; Pantelous, A.A.; Beer, M. (2019): Non-stationary response statistics of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation | Datei |
  • Wei, P.F. et al. (2019): Non-intrusive imprecise stochastic simulation (NISS) for uncertainty quantification | Datei |
  • Bi, S. (2018): Uncertainty Quantification Metrics Using the Bhattacharyya Distance | Datei |
  • He, L.; Gomes, A.T.; Broggi, M.; Beer, M. (2018): Risk Analysis for Slope Stability with Advanced Bayesian Networks | Datei |
  • Berkhahn, V.; Berthold, T.; Bode, M.; Schiermeyer, C. (2013): Simulation von Containerbahnhöfen | Datei |
  • Berkhahn, V.; Rinke, N. (2013): Das Navi von morgen | Datei |