Publikationen des Institutes für Risiko und Zuverlässigkeit

Buchbeiträge

  • 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

  • Behrensdorf, J.; Broggi, M.; Beer, M. (2019) Reliability analysis of networks interconnected with copulasASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, in press
    DOI: 10.1115/1.4044043
  • Bi, S.F.; Broggi, M.; Wei, P.F.; Beer, M. (2019) The Bhattacharyya distance: enriching the P-box in stochastic sensitivity analysisMechanical Systems and Signal Processing, 129, pp. 265-281
    DOI: 10.1016/j.ymssp.2019.04.035
  • Chen, N.; Xia, S.; Yu, D.; Liu, J.; Beer, M. (2019) Hybrid interval and random analysis for structural-acoustic systems including periodical composites and multi-scale bounded hybrid uncertain parametersMechanical Systems and Signal Processing, 115, 524–544
    DOI: 10.1016/j.ymssp.2018.06.016
  • Faes, M.; Broggi, M.; Patelli, E.; Govers, Y.; Mottershead, J.; Beer, M.; Moens, D. (2019) A multivariate interval approach for inverse uncertainty quantification with limited experimental dataMechanical Systems and Signal Processing, 118, 534–548
    DOI: 10.1016/j.ymssp.2018.08.050
  • Faes, M.; Sadeghi, J.; Broggi, M.; De Angelis, M.; Patelli, E.; Beer, M.; Moens, D. (2019) Kriging or interval predictors? An estimation of the bounds of small failure probability estimationsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, in press
  • Faes, M.; Sadeghi, J.; Broggi, M.; De Angelis, M.; Patelli, E.; Beer, M.; Moens, D. (2019) On the robust estimation of small failure probabilities for strong non-linear modelsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, in press
  • Feng, J.W.; Liu, L.; Wu, D.; Li, G.Y.; Beer, M.; Gao, W. (2019) Dynamic reliability analysis using the extended support vector regression (X-SVR)Mechanical Systems and Signal Processing, 126, 368-391
    DOI: 10.1016/j.ymssp.2019.02.027
  • He, L.X.; Gomes, A.T.; Broggi, M.; Beer, M. (2019) Failure Analysis of Soil Slopes with Advanced Bayesian NetworksPeriodica Polytechnica Civil Engineering
    DOI: 10.3311/PPci.14092
  • He, L.X.; Wang, L.; Beer, M.; Liu, Y.; Broggi, M.; Bi, S.F. (2019) Estimation of failure probability in a braced excavation by Bayesian networks integrating with model updating approachesUnderground Space, in press
  • Jiang, Y.B.; Peng, S.X.; Beer, M.; Wang, L.; Zhang, J.R. (2019) Reliability evaluation of RC columns designed by Eurocode for wind dominated combination considering random eccentricityAdvances in Structural Engineering, in press
  • Miro, S.; Willeke, T.; Broggi, M.; Seume, J.R.; Beer, M. (2019) Reliability Analysis of an Axial Compressor Based on One-Dimensional Flow Modeling and Survival SignatureASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(3), art. no. 031003
    DOI: 10.1115/1.4043150
  • Miro, S.; Willeke, T.;Broggi, M.; Seume, J.R.; Beer, M. (2019) Reliability Analysis of an Axial Compressor Based on One-Dimensional Flow Modelingand Survival SignatureASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5, 031003-1, 1-9
    DOI: 10.1115/1.4043150
  • Mitseas, I.P.; Beer, M. (2019) Modal decomposition method for response spectrum based analysis of nonlinear and non-classically damped systemsMechanical Systems and Signal Processing, 131:469-485
    DOI: 10.1016/j.ymssp.2019.05.056
  • Salomon, J.; Broggi, M.; Kruse, S.; Weber, S.; Beer, M. (2019) Resilience Decision-Making Method For Complex SystemsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, in press
  • Sarvari, H.; Valipour, A.; Yahya, N.; Noor, N.MD.; Beer, M.; Banaitiene, N. (2019) Approaches to Risk Identification in Public–Private Partnership Projects: Malaysian Private Partners’ OverviewAdministrative Sciences, 9, 17, 1-18
    DOI: 10.3390/admsci9010017
  • Song, Y.P.; Chen, J.B.; Beer, M.; Comerford, L. (2019) Wind Speed Field Simulation via Stochastic Harmonic Function Representation based on Wavenumber-Frequency SpectrumASCE Journal of Engineering Mechanics, in press
  • Wang, C.; Zhang, H.; Beer, M. (2019) Structural Time-dependent Reliability Assessment with A New Power Spectral Density FunctionASCE's Journal of Structural Engineering, in press
  • Wei, P.; Song, J.; Bi, S.; Broggi, M.; Beer, M.; Lu, Z.; Yue, Z. (2019) Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysisMechanical Systems and Signal Processing, 126:227-247
    DOI: 10.1016/j.ymssp.2019.02.015
  • Wei, P.F.; Song, J.W.; Bi, S.F.; Broggi, M.; Beer, M.; Lu, Z.Z.; Yue, Z.F. (2019) Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimationMechanical Systems and Signal Processing, 124, 349-368
    DOI: 10.1016/j.ymssp.2019.01.058
  • Zhang, Y.; Gomes, A.T.; Beer, M.; Neumann, I.; Nackenhorst, U.; Kim, C.-W. (2019) Reliability analysis with consideration of asymmetrically dependent variables: discussion and application to geotechnical examplesReliability Engineering and System Safety, 185, 261-277
    DOI: 10.1016/j.ress.2018.12.025
  • Mitseas, I.P; Kougioumtzoglou, I.A.; Giaralis, A.; Beer, M. (2018) A novel stochastic linearization framework for seismic demand estimation of hysteretic MDOF systems subject to linear response spectraStructural Safety, 72: 84-98
    DOI: 10.1016/j.strusafe.2017.12.008
  • Rocchetta, R.; Broggi, M.; Huchet, Q.; Patelli, E. (2018) On-line Bayesian model updating for structural health monitoringMechanical Systems and Signal Processing; 103: 174-195
    DOI: 10.1016/j.ymssp.2017.10.015
  • Zhong, S.; Pantelous, A.A.; Beer, M.; Zhou, J. (2018) Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farmsMechanical Systems and Signal Processing, 104: 347-369
    DOI: 10.1016/j.ymssp.2017.10.035
  • Akramin, M.R.M.; Ariffin, A.K.; Kikuchi, M.; Beer, M.; Shaari, M.S.; Husnain, M.N.M. (2018) Surface crack growth prediction under fatigue load using probabilistic S-version finite element modelJournal of the Brazilian Society of Mechanical Sciences and Engineering, 40(11): 522
    DOI: 10.1007/s40430-018-1442-8
  • Akramin, M.R.M.; Ariffin, A.K.; Kikuchi, M.; Beer, M.; Shaari, M.S.; Husnain, M.N.M. (2018) Surface crack growth prediction under fatigue load using probabilistic S‑version finite element modelJournal of the Brazilian Society of Mechanical Sciences and Engineering, 40:522, 14 pages
    DOI: 10.1007/s40430-018-1442-8
  • Berthold, T.; Milbradt, P.; Berkhahn, V. (2018) Valid approximation of spatially distributed grain size distributions – A priori information encoded to a feedforward networkComputers & Geosciences, 113: 23–32
    DOI: 10.1016/j.cageo.2018.01.007
  • Bi, S.; Ouisse, M.; Foltête, E. (2018) Probabilistic approach for damping identification considering uncertainty in experimental modal analysisAIAA Journal, 56(12), pp. 4953-4964
    DOI: 10.2514/1.J057432
  • Bi, S.F.; Broggi, M.; Beer, M. (2018) The role of the Bhattacharyya distance in stochastic model updatingMechanical Systems and Signal Processing, 117: 437-452
    DOI: 10.1016/j.ymssp.2018.08.017
  • Chen, N.; Hu, Y.B.; Yu, D.J.; Liu, J.; Beer, M. (2018) A polynomial expansion approach for response analysis of periodical composite structural-acoustic problems with multi-scale mixed aleatory and epistemic uncertaintiesComputer Methods in Applied Mechanics and Engineering, 342, 509–531
    DOI: 10.1016/j.cma.2018.08.021
  • Comerford, L.A.; Mannis, A.; de Angelis, M.; Kougioumtzoglou, I.A.; Beer, M. (2018) Utilising database-driven interactive software to enhance independent home study in a flipped classroom setting: going beyond visualizing engineering concepts to ensuring formative assessmentEuropean Journal of Engineering Education, 43(4), 522–537
    DOI: 10.1080/03043797.2017.1293617
  • Lu, N., Liu, Y., Beer, M. (2018) Extrapolation of extreme traffic load effects on a cable-stayed bridge based on weigh-in-motion measurementsInternational Journal of Reliability and Safety, 12(1-2), pp. 69-85
    DOI: 10.1504/IJRS.2018.092504
  • Rocchetta, R.; Broggi, M.; Patelli, E. (2018) Do we have enough data? Robust reliability via uncertainty quantificationApplied Mathematical Modelling, 54: 710-721
    DOI: 10.1016/j.apm.2017.10.020
  • Tolo, S.; Patelli, E.; Beer, M. (2018) An open toolbox for the reduction, inference computation and sensitivity analysis of Credal NetworksAdvances in Engineering Software, 115, 126–148
    DOI: 10.1016/j.advengsoft.2017.09.003
  • Wang, C.; Zhang, H.; Beer, M. (2018) Computing tight bounds of structural reliability under imprecise probabilistic informationComputers and Structures, 208, 92–104
    DOI: 10.1016/j.compstruc.2018.07.003
  • Zhang, D.M.; Du, F.; Huang, H.W.; Zhang, F.; Ayyub, B.M.; Beer, M. (2018) Resiliency Assessment of Urban Rail Transit Networks: Shanghai Metro as an ExampleSafety Science, 106: 230-243
  • Zhang, Y.; Kim, C.-W.; Beer, M.; Dai, H.L.; Soares, C.G. (2018) Modeling multivariate ocean data using asymmetric copulasCoastal Engineering, 135: 91-111
    DOI: 10.1016/j.coastaleng.2018.01.008
  • Zhang, Y.J.; Comerford, L.A.; Kougioumtzoglou, I.A.; Beer, M. (2018) Lp-norm minimization for stochastic process power spectrum estimation subject to incomplete dataMechanical Systems and Signal Processing, 101, 361–376
    DOI: 10.1016/j.ymssp.2017.08.017
  • Bi, S.; Ouisse, M.; Foltête, E.; Jund, A. (2017) Virtual decoupling of vibroacoustical systemsJournal of Sound and Vibration, 401 (2017) 169-189
    DOI: 10.1016/j.jsv.2017.04.040
  • Attarzadeh, M.; Chua, D.; Beer, M.; Abbott, E.L.S. (2017) Options-based negotiation management of PPP-BOT infrastructure projectsConstruction Management and Economics, 35(11–12), 676–692
    DOI: 10.1080/01446193.2017.1325962
  • Attarzadeh, M.; Chua, D.; Beer, M.; Abbott, E.L.S. (2017) Fuzzy Randomness Simulation of Long Term Infrastructure ProjectsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 04017002, 1–15
    DOI: 10.1061/AJRUA6.0000902
  • Bi, S.; Prabhu, S.; Cogan, S.; Atamturktur, S. (2017) Uncertainty quantification metrics with varying statistical information in model calibration and validationAIAA Journal, 55(10), pp. 3570-3583
    DOI: 10.2514/1.J055733
  • Chen, N; Yu, D.J.; Xia, B.Z.; Beer, M. (2017) Hybrid Uncertain Analysis for Exterior Acoustic Field Prediction with Interval Random ParametersInternational Journal of Computational Methods 15(1), 1850006-1 – 1850006-23
    DOI: 10.1142/S0219876218500068
  • Comerford, L.; Jensen, H.A.; Mayorgab, F.; Beer, M.; Kougioumtzoglou, I.A. (2017) Compressive sensing with an adaptive wavelet basis for structural system response and reliability analysis under missing dataComputers and Structures; 182: 26-40
    DOI: 10.1016/j.compstruc.2016.11.012
  • de Angelis, M.; Patelli, E.; Beer, M. (2017) Forced Monte Carlo Simulation Strategy for the Design of Maintenance Plans with Multiple InspectionsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(2), D4016001, 1–9
    DOI: 10.1061/AJRUA6.0000868
  • Jiang, Y.B.; Luo, J.; Beer, M.; Patelli, E.; Broggi, M.; He, Y.H.; Zhang, J.R. (2017) Multiple response surfaces method with advanced classification of samples for structural failure function fittingStructural Safety; 64: 87-97
    DOI: 10.1016/j.strusafe.2016.10.002
  • Kougioumtzoglou, I.A., Fragkoulis, V.C., Pantelous, A.A., Pirrotta, A. (2017) Random vibration of linear and nonlinear structural systems with singular matrices: A frequency domain approachJournal of Sound and Vibration, 404:84-101
    DOI: 10.1016/j.jsv.2017.05.038
  • Lu, N.W.; Beer, M.; Noori, M.; Liu, Y. (2017) Lifetime deflections of long-span bridges under dynamic and growing traffic loadASCE Journal of Bridge Engineering, 22(11), 04017086, 1–12
    DOI: 10.1061/(ASCE)BE.1943-5592.0001125
  • Moura, R.; Beer, M.; Patelli, E.; Lewis, J. (2017) Learning from major accidents: Graphical representation and analysis of multi-attribute events to enhance risk communicationSafety Science, Volume 99, Part A, Pages 58-70
    DOI: 10.1016/j.ssci.2017.03.005
  • Moura, R.; Beer, M.; Patelli, E.; Lewis, J., Knoll, F. (2017) Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studiesSafety Science, 99, 196–214
    DOI: 10.1016/j.ssci.2017.05.001
  • Opeyemi, D.; Timashev, S.A.; Bushinskaya, A.V.; Patelli, E.; Beer, M. (2017) Method of reliability assessment of arctic pipelines in the space of loadsRussian Journal of Construction Science and Technology, 3(1), 49-59
    DOI: 10.15826/rjcst.2017.1.007
  • Patelli, E.; Govers, Y.; Broggi, M.; Martins Gomes, H.; Link, M.; Mottershead, J. (2017) Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test dataArchive of Applied Mechanics, Volume 87, Issue 5, pp 905–925
    DOI: 10.1007/s00419-017-1233-1
  • Rinke, N.; von Gösseln, I.; Kochkine, V.; Schweitzer, J.; Berkhahn, V.; Berner, F.; Kutterer, H.; Neumann, I.; Schwieger, V. (2017) Simulating quality assurance and efficiency analysis between construction management and engineering geodesyAutomation in Construction, 76: 24-35
    DOI: 10.1016/j.autcon.2017.01.009
  • Schiermeyer, C.; Pascucci, F.; Rinke, N.; Berkhahn, V.; Friedrich, B. (2017) MODIS - Ein Simulationsmodell zur Bewertung von Verkehrsflächen nach dem Shared-Space-GestaltungsprinzipBauingenieur; 92: 341-346
  • Tolo, S.; Patelli, E.; Beer, M. (2017) Risk Assessment of Spent Nuclear Fuel Facilities Considering Climate ChangeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(2), G4016003, 1–15
    DOI: 10.1061/AJRUA6.0000874
  • Yan, D.H.; Luo, Y; Lu, N.W.; Yuan, M.; Beer, M. (2017) Fatigue stress spectra and reliability evaluation of short- to medium- span bridges under stochastic and dynamic traffic loadASCE Journal of Bridge Engineering, 22(12), 04017102, 1–11
    DOI: 10.1061/(ASCE)BE.1943-5592.0001137
  • Zhang, H.; Ha, L.; Li, Q.W.; Beer, M. (2017) Imprecise probability analysis of steel structures subject to atmospheric corrosionStructural Safety, 67, 62–69
    DOI: 10.1016/j.strusafe.2017.04.001
  • Zhang, Y.J.; Comerford, L.A.; Kougioumtzoglou, I.A.; Patelli, E.; Beer, M. (2017) Uncertainty quantification of power spectrum and spectral moments estimates subject to missing dataASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Vol. 3, Issue 4, 04017020
    DOI: 10.1061/AJRUA6.0000925
  • Chen, N.; Yu, D.; Xia; B., Beer, M. (2016) Uncertainty analysis of a structural – acoustic problem using imprecise probabilities based on p-box representationsMechanical Systems and Signal Processing, 80, 45–57
    DOI: 10.1016/j.ymssp.2016.04.009
  • Do, D.M. ; Gao, W.; Song, C.M.; Beer, M. (2016) Interval spectral stochastic finite element analysis of structures with aggregation of random field and bounded parametersInternational Journal of Numerical Methods in Engineering; Volume 108, Issue 10: 1198–1229
    DOI: 10.1002/nme.5251
  • Evans, Ll.M.; Arregui-Mena, J.D.; Mummery, P.M.; Akers, R.; Surrey, E.; Shterenlikht, A.; Broggi, M.; Margetts, L. (2016) Use of massively parallel computing to improve modelling accuracy within the nuclear sectorThe International Journal of Multiphysics, 10, 2
    DOI: 10.21152/1750-9548.10.2.215
  • Feng, G.; Patelli, E.; Beer, M.; Coolen, F. P. (2016) Imprecise system reliability and component importance based on survival signatureReliability Engineering & System Safety; 150: 116—125
    DOI: 10.1016/j.ress.2016.01.019
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A. (2016) Statistical linearization of nonlinear structural systems with singular matricesASCE Journal of Engineering Mechanics, 142(9):04016063-11
    DOI: 10.1061/(ASCE)EM.1943-7889.0001119
  • Jiang, Y.B.; Zhou, H.; Beer, M.; Wang, L.; Zhang, J.R.; Zhao, L.J. (2016) Robustness of load and resistance design factors for RC columns with wind dominated combination considering random eccentricityASCE's Journal of Structural Engineering: 04016221
    DOI: 10.1061/(ASCE)ST.1943-541X.0001720
  • Kosheleva, O.; Beer, M. (2016) Why Modified Exponential Covariance Kernel is Empirically Successful: A Theoretical ExplanationJournal of Uncertain Systems; 10: 10—14.
  • Liu, Y.; Lu, N.; Yin, X. (2016) A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to TrussesQuality and Reliability Engineering International; 32(2): 595—608
    DOI: 10.1002/qre.1775
  • Liu, Y.; Lu, N.; Yin, X.; Noori, M. (2016) An adaptive support vector regression method for structural system reliability assessment and its application to a cable-stayed bridge Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability; 230(2): 204-219
    DOI: 10.1177/1748006X15623869
  • Lu, N.; Noori, M.; Liu, Y. (2016) Fatigue Reliability Assessment of Welded Steel Bridge Decks under Stochastic Truck Loads via Machine LearningJournal of Bridge Engineering, 22.1: 04016105
    DOI: 10.1061/(ASCE)BE.1943-5592.0000982
  • Mahmoudi E., Khaledi K., Miro S., König D., Schanz T. (2016) Probabilistic analysis of a rock salt cavern with application to energy storage systemsRock Mechanics and Rock Engineering, pages 1–19
    DOI: 10.1007/s00603-016-1105-y
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Beer, M. (2016) An approximate stochastic dynamics approach for nonlinear structural system performance-based multi-objective optimum designStructural Safety; 60: 67—76
    DOI: 10.1016/j.strusafe.2016.01.003
  • Mitseas, I. P.; Kougioumtzoglou, I. A.; Spanos, P. D.; Beer, M. (2016) Nonlinear MDOF structural system survival probability determination subject to evolutionary stochastic excitationJournal of Mechanical Engineering, 62(7–8), 440–451
    DOI: 10.5545/sv-jme.2016.3752
  • Moura, R.; Beer, M.; Patelli, E.; Lewis, J.; Knoll, F. (2016) Learning from major accidents to improve system designSafety Science; 84: 37—45
    DOI: 10.1016/j.ssci.2015.11.022
  • Rocchetta, R.; Patelli, E.; Broggi, M.; Schewe, S. (2016) Robust probabilistic risk/safety analysis of complex systems and critical infrastructuresReliability Engineering and System Safety, 136, 47-61
  • Tolo, S.; Patelli, E.; Beer, M. (2016) Robust vulnerability analysis of nuclear facilities subject to external hazardsStochastic Environmental Research and Risk Assessment, in press
    DOI: 10.1007/s00477-016-1360-1
  • Valdebenito, M. A.; Pérez, C. A.; Jensen, H. A.; Beer, M. (2016) Approximate fuzzy analysis of linear structural systems applying intervening variablesComputers and Structures; 162: 116—129
    DOI: 10.1016/j.compstruc.2015.08.020
  • Venturini, Tiziano; Trefolini, Emanuele; Patelli, Edoardo; Broggi, Matteo; Tuliani, Giacomo; Disperati, Leonardo (2016) Mapping slope deposits depth by means of cluster analysis: a comparative assessmentRendiconti online della societa geologica italiana, Vol. 39/2016: 47-50
    DOI: 10.3301/ROL.2016.44
  • Comerford, L.; Kougioumtzoglou, I. A.; Beer, M. (2015) Compressive sensing based stochastic process power spectrum estimation subject to missing dataProbabilistic Engineering Mechanics; 44: 66-76
  • Comerford, L.; Kougioumtzoglou, I. A.; Beer, M. (2015) An artificial neural network approach for stochastic process power spectrum estimation subject to missing dataStructural Safety; 52: 150-160
  • Comerford, L.; Kougioumtzoglou, I. a.; Beer, M. (2015) Uncertainty Quantification in Power Spectrum Estimation of Stochastic Processes Subject to Missing DataInternational Journal of Sustainable Materials and Structural Systems (IJSMSS).
  • de Angelis, M.; Patelli, E.; Beer, M. (2015) Advanced Line Sampling for efficient robust reliability analysisStructural Safety; 52: 170-182.
  • Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A. (2015) Linear random vibration of structural systems with singular matricesASCE Journal of Engineering Mechanics, 142(2):04015081-11
    DOI: 10.1061/(ASCE)EM.1943-7889.0001000
  • 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 failure Engineering 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 structures Computers & 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

  • Eckert, C.; Beer, M.; Spanos, P. D. (2019) B-Spline based Polynomial Chaos for Stochastic Galerkin Methods2019 EMI International Conference, Lyon, France
  • 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 (Accepted)
  • 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 (Accepted)
  • 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 (Accepted)
  • 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
    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
  • 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; 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 ponds International 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 SimulationInternational 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).