Lectures of Prof. Dr.-Ing. Michael Beer

Conference Papers

  • (2020): Response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices subjected to non-stationary stochastic excitationroceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted)
  • Behrendt, M., Bittner, M., Comerford, L., Broggi, M. and Beer, M. (2020): Parameter Investigation of Relaxed Uncertain Power Spectra for Stochastic Dynamic SystemsProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece.
  • Ni P., Mitseas I. P., Fragkoulis V. C., Kougioumtzoglou I. A., Beer M. (2020): Peak response determination of nonlinear oscillators with fractional derivative elements under code-compliant stochastic seismic excitationsProceedings of the XI International Conference on Structural Dynamics (EURODYN 2020), Athens, Greece, 22-24 June, 2020 (Accepted)
  • Behrendt, M., Comerford, L., Beer, M. (2019): Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings.IEEE Symposium Series on Computational Intelligence (SSCI)
    DOI: 10.1109/SSCI44817.2019.9002899
  • Behrendt, M., Comerford, L., Beer, M., (2019): Relaxed Stationary Power Spectrum Model Using Imprecise ProbabilitiesCOMPDYN Proceedings, 1, pp. 592-599.
    DOI: 10.7712/120119.6941.19045
  • Behrendt, M.; Comerford, L.; Beer, M. (2019): Stochastic Processes Identification from Data Ensembles via Power Spectrum Classification.13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13)
    DOI: 10.22725/ICASP13.407
  • Bittner, M.; Broggi, M.; Beer M. (2019): Rare Event Modelling for Stochastic Dynamic Systems approximated by the Probability Density Evolution MethodProceedings of the 29th European Safety and Reliability Conference (ESREL)
    DOI: 10.3850/978-981-11-2724-3_0735-cd
  • Eckert, C.; Beer, M.; Spanos, P. D. (2019): B-Spline based Polynomial Chaos for Stochastic Galerkin Methods2019 EMI International Conference, Lyon, France
  • Ni P., Mitseas I. P., Beer M. (2019): An approximate stochastic dynamics framework for inelastic response determination of hysteretic MDOF structural systems subject to code-compliant non-stationary stochastic seismic excitationProceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019
  • Pasparakis G., Fragkoulis V. C., Comerford L., Mitseas I. P., Beer M. (2019): A harmonic wavelets based analysis for the response determination of linear and nonlinear MDOF structural systems with singular matricesProceedings of the 16th International Conference on Civil, Structural and Environmental Engineering Computing (CIVIL-COMP 2019), Lake Garda, Italy, 16-19 September, 2019
  • Salomon, J.; Behrensdorf, J.; Broggi, M.; Weber, S.; Beer, M. (2019): Multidimensional Resilience Decision-Making On A Multistage High-Speed Axial Compressor29th International European Safety and Reliability Conference, ESREL 2019, Hannover, Germany | File |
    DOI: 10.3850/978-981-11-2724-3 0992-cd
    ISBN: 978-981-11-2724-3
  • Behrendt, M.; Punurai, W.; Beer, M. (2018): Synchronized Load Quantification from Multiple Data Records for Analysing High-rise Buildings7th Asia Conference on Earthquake Engineering, 22-25 November 2018, Bangkok, Thailand
    DOI: 10.15488/4957
  • Behrensdorf, J.; Broggi, M.; Beer, M. (2018): Imprecise reliability analysis of complex interconnected networks28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway
    ISBN: 978-081538682-7
  • Eckert, C.; Beer, M.; Spanos, P. D. (2018): B-Spline based Polynomial Chaos Approximation for Random Variables8th Conference on Computational Stochastic Mechanics, Paros, Greece
  • Eckert, C.; Beer, M.; Spanos, P. D. (2018): Polynomial Chaos Approximation Using B-SplinesWorld Congress in Computational Mechanics, New York, USA
  • Feng, G.; George-Williams, H.; Patelli, E.; Coolen, F.P.A.; Beer, M. (2018): An efficient reliability analysis on complex non-repairable systems with common-cause failures28th International European Safety and Reliability Conference, ESREL 2018, Trondheim, Norway
    ISBN: 978-081538682-7
  • Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer (2018): Risk Assessment for Slope Stability with Enhanced Bayesian Networks MethodsProc. of the 6th ISRERM conference, Singapore 2018
    DOI: 10.3850/978-981-11-2726-7_CTC304S3MRS04
  • Longxue He, António Topa Gomes, Matteo Broggi, and Michael Beer (2018): Risk Analysis of Infinite Slope Failure using Advanced Bayesian NetworksProc. of the 8th International Workshop on REC 2018, Liverpool, UK
  • 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
  • Regenhardt, T.-E.; Wei, L.; Broggi, M.; Beer, M (2018): Applying Graph Theory and Lifeline Reliability to the System Survival Signature6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore
    DOI: 10.3850/978-981-11-2726-7_CRR19
  • Regenhardt, T.-E; Azad, M.S.; Punurai, W.; Beer, M. (2018): A Novel Application of System Survival Signature in Reliability Assessment of Offshore StructuresAdvances in Intelligent Systems and Computing 866:11-20, International Conference on Intelligent Computing and Optimization, ICO 2018, Pattaya, Thailand
    DOI: 10.1007/978-3-030-00979-3_2
  • Salomon, J.; Kruse, S.; Broggi, M.; Weber, S.; Beer, M. (2018): Decision-making for resilience-enhancing endowments in complex systems using principles of risk measures6th International Symposium on Reliability Engineering and Risk Management (6ISRERM), 31 May-01 Jun 2018, Singapore | File |
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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.
  • 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
  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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