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List of Publications

Publications of Prof. Dr.-Ing. Michael Beer

Book Chapter

  • 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
  • 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 Articles

  • Dang, C.; Wei, P.F.; Beer, M. (2021): An approach for evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitationsMechanical Systems and Signal Processing, in press
  • Faes, M.; Valdebenito, M.A.; Moens, D.; Beer, M. (2021): Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilitiesMechanical Systems and Signal Processing, in press
  • Jensen, H.; Jerez, D.; Beer, M. (2021): A General Two-Phase Markov Chain Monte Carlo Approach for Constrained Design Optimization: Application to Stochastic Structural OptimizationComputer Methods in Applied Mechanics and Engineering, 373, Article 113487
  • Mitseas, I. P.; Beer, M. (2021): First-excursion stochastic incremental dynamics methodology for hysteretic structural systems subject to seismic excitationComputers and Structures, vol. 242
    DOI: 10.1016/j.compstruc.2020.106359
  • Zhu, W.Q.; Chen, N.; Liu, J.; Beer, M. (2021): A probability-box-based method for propagation of multiple types of epistemic uncertainties and its application on composite structural-acoustic systemMechanical Systems and Signal Processing, 149, Article 107184
  • Bai, Y.T.; Ma, X.; Wang, B.; Cao, G.; Beer, M. (2020): Cumulative Component Damages on Collapse Capacity of Ductile Steel and CFT Moment Resisting Frames under Over-design Ground MotionsJournal of Earthquake Engineering, 1–22
    DOI: 10.1080/13632469.2020.1784315
  • Chen, J.B.; Comerford, L.; Peng, Y.B; Beer, M.; Li, J. (2020): Reduction of random variables in the Stochastic Harmonic Function representation via spectrum-relative dependent random frequenciesMechanical Systems and Signal Processing, 141, Article 106718
  • Chen, J.B.; Wan, Z.Q.; Beer, M. (2020): A Global Sensitivity Index Based on Fréchet Derivative and Its Efficient Numerical AnalysisProbabilistic Engineering Mechanics, 62, Article 103096
  • Eckert, C., Beer, M.; Spanos, P.D. (2020): A Polynomial Chaos Method for Arbitrary Random Inputs using B-SplinesProbabilistic Engineering Mechanics, 60, Article 103051
    DOI: 10.1016/j.probengmech.2020.103051
  • Faes, M.; Valdebenito, M.A.; Moens, D.; Beer, M. (2020): Bounding the First Excursion Probability of Linear Structures Subjected to Imprecise Stochastic Loading  
  • Jiang, Y.B.; Peng, S.X.; Beer, M.; Wang, L.; Zhang, J.R. (2020): Reliability evaluation of RC columns designed by Eurocode for wind dominated combination considering random eccentricityAdvances in Structural Engineering, 23(1), 146–159
    DOI: 10.1177/1369433219866089
  • Jiang, Y.B.; Zhao, L.J.; Beer, M.; Wang, L.; Zhang, J.R. (2020): Dominant failure mode analysis using representative samples obtained by multiple response surfaces methodProbabilistic Engineering Mechanics, 59, Article 103005
    DOI: 10.1016/j.probengmech.2019.103005
  • Kitahara, M.; Broggi, M.; Beer, M. (2020): Efficient seismic performance estimation method by surrogate modeling based on adaptive Kriging and Markov chain Monte CarloJ. JSCE Applied Mechanics
  • Mi, J.H, Beer, M.; Li, Y.F.; Broggi, M.; Cheng, Y.H. (2020): Reliability and Importance Analysis of Uncertain System with Common Cause Failures Based on Survival SignatureReliability Engineering and System Safety, 201, Article 106988
  • Mi, J.H; Li, Y.F.; Beer, M.; Broggi, M.; Cheng, Y.H. (2020): Importance measure of probabilistic common cause failures under system hybrid uncertainty based on bayesian networkMaintenance and reliability, 22 (1), 112–120
  • Mitseas, I. P.; Beer, M. (2020): Fragility analysis of nonproportionally damped inelastic MDOF structural systems exposed to stochastic seismic excitationComputers and Structures, vol. 226
    DOI: 10.1016/j.compstruc.2019.106129
  • Morais, C.; Moura, R.; Beer, M.; Patelli, E. (2020): Analysis and Estimation of Human Errors From Major Accident Investigation ReportsASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 6, 011014-1, 1–16
    DOI: 10.1115/1.4044796
  • Nieto-Cerezo, O.; Wenzelburger, J.; Patelli, E.; Beer, M. (2020): Optimal regulation of the construction of reliable sea defencesASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, in press
  • Pasparakis, G.; Fragkoulis, V.; Beer, M. (2020): Harmonic wavelets based response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matricesMechanical Systems and Signal Processing, 149, Article 107203
  • Sarvari, H.; Chan, D.W.M.; Banaitiene, N.; Noor, N.M.; Beer, M. (2020): Barriers to development of private sector investment in water and sewage industryBuilt Environment Project and Asset Management, in press
  • Siju, K.C.; Kumar, M.; Beer, M. (2020): Classical and Bayesian Estimation of Stress-strength Reliability of a Component having Multiple StatesInternational Journal of Quality & Reliability Management, in press
  • Song, J.W.; Valdebenito, M.; Wei, P.F.; Beer, M.; Lu, Z.Z. (2020): Non-intrusive imprecise stochastic simulation by line samplingStructural Safety, 84, Article 101936
    DOI: 10.1016/j.ymssp.2019.01.058
  • Song, J.W.; Wei, P.F.; Valdebenito, M.; Beer, M. (2020): Active Learning Line Sampling for Rare Event AnalysisMechanical Systems and Signal Processing, 147, Article 107113
  • Song, J.W.; Wei, P.F.; Valdebenito, M.; Beer, M. (2020): Adaptive reliability analysis for rare events evaluation with global imprecise line samplingComputer Methods in Applied Mechanics and Engineering, 372, Article 113344
  • Valdebenito, M.A.; Beer, M.; Jensen, H.A.; Chen, J.B.; Wei, P.F. (2020): Fuzzy Failure Probability Estimation Applying Intervening VariablesStructural Safety, Structural Safety, 83, Article 101909
    DOI: 10.1016/j.strusafe.2019.101909
  • Valdebenito, M.A.; Jensen, H.A.; Wei, P.F.; Beer, M.; Beck, A.T. (2020): Application of a Reduced Order Model for Fuzzy Analysis of Linear Static Systems, Special Issue: Non probabilistic and hybrid approaches for uncertainty quantification and reliability analysisASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, in press
  • Wei, P.F.; Liu, F.C.; Valdebenito, M.; Beer, M. (2020): Bayesian Probabilistic Propagation of Imprecise Probabilities with Large Epistemic UncertaintyMechanical Systems and Signal Processing, 149, Article 107219
  • Wei, P.F.; Zhang, X.; Beer, M. (2020): Adaptive Experiment Design for Probabilistic IntegrationComputer Methods in Applied Mechanics and Engineering, 365, Article 113035
    DOI: 10.1016/j.cma.2020.113035
  • Yan, W.J.; Zhao, M.Y.; Beer, M.; Ren, W.X.; Chronopoulos, D. (2020) (2020): A Unified Scheme to Solving Arbitrary Complex-valued Ratio Distribution with Application to Statistical Inference for Frequency Response Functions and Transmissibility FunctionsMechanical Systems and Signal Processing, 145, Article 106886
  • Beer, M.; Gholami, A.; Kreinovich, V. (2019) (2019): A Theoretical Explanation for the Efficiency of Generalized Harmonic Wavelets in Engineering and Seismic Spectral AnalysisMathematical Structures and Modeling, 3(51), 97–104
  • 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, 5(4), Article 041006
    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, J.B.; Chen, Y.W.; Peng, Y.B.; Zhu, S.Y.; Beer, M.; Comerford, L. (2019): Stochastic harmonic function based wind field simulation and wind-induced reliability of super high-rise buildingsMechanical Systems and Signal Processing, 133, 106264, 20 pages
    DOI: 10.1016/j.ymssp.2019.106264
  • 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): 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, 5, Article 041007
    DOI: 10.1115/1.4044044
  • 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
  • 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
  • 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 excitationNonlinear Dynamics, 7, 1–13, doi 10.1007/s11071-019-05124-0
  • George-Williams, H.; Feng, G.; Coolen, F.P.A.; Beer, M.; Patelli, E. (2019): Extending the Survival Signature Paradigm to Complex Systems with Non-repairable Dependent FailuresProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 505–519
  • 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
  • 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, 6(2), Article 020901 | File |
    DOI: 10.1115/1.4044907
  • 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, J.W.; Wei, P.F.; Valdebenito, M.; Bi, S.F.; Broggi, M.; Beer, M.; Lei, Z.X. (2019): Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variablesMechanical Systems and Signal Processing, 134, 106316, 17 pages
  • 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, 145(11), 04019086
  • Wang, C.; Zhang, H.; Beer, M. (2019): Structural Time-dependent Reliability Assessment with A New Power Spectral Density FunctionASCE's Journal of Structural Engineering, 145(12): 04019163, 10 pages
    DOI: 10.1061/(ASCE)ST.1943-541X.0002476
  • 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): Modeling asymmetric dependences among multivariate soil data for the geotechnical analysis - the asymmetric copula approachSoils and Foundations, 59 (6), 1960–1979
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Tolo, S.; Patelli, E.; Beer, M. (2017): Robust vulnerability analysis of nuclear facilities subject to external hazardsStochastic Environmental Research and Risk Assessment 31 (10), 2733–2756
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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.
  • 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.
  • 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.
  • Beer, M.; Liebscher, M. (2010): Detection of branching points in noisy processesComputational Mechanics; 45(4): 363—374.
  • 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.
  • Beer, M.; Liebscher, M. (2008): Designing robust structures - A nonlinear simulation based approachComputers and Structures; 86(10): 1102—1122.
  • 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.
  • 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.
  • 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.