Publikationen von Prof. Dr.-Ing. Michael Beer (FIS)

Buchbeiträge

First 1
First 1

Journal-Artikel

2021


Jensen, H., Jerez, D., & Beer, M. (2021). A general two-phase Markov chain Monte Carlo approach for constrained design optimization: Application to stochastic structural optimization. Computer Methods in Applied Mechanics and Engineering, 373, Artikel 113487. https://doi.org/10.1016/j.cma.2020.113487
Jerez, D. J., Jensen, H. A., Beer, M., & Broggi, M. (2021). Contaminant source identification in water distribution networks: A Bayesian framework. Mechanical Systems and Signal Processing, 159, Artikel 107834. https://doi.org/10.1016/j.ymssp.2021.107834
K C, S., Kumar, M., & Beer, M. (2021). Classical and Bayesian estimation of stress-strength reliability of a component having multiple states. International Journal of Quality and Reliability Management, 38(2), 528-535. https://doi.org/10.1108/IJQRM-01-2020-0009
Kitahara, M., Bi, S., Broggi, M., & Beer, M. (2021). Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A Civil Engineering, 7(3), Artikel 0001149. https://doi.org/10.1061/AJRUA6.0001149
Masaru, KITAHARA., Matteo, BROGGI., & Beer, M. (2021). 近似ベイズ計算(ABC)を用いたモデル更新による免震橋梁の残存耐震性能評価の検討. Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)), 77(4), I_61-I_70. https://doi.org/10.2208/jscejseee.77.4_i_61
Mitseas, I. P., & Beer, M. (2021). First-excursion stochastic incremental dynamics methodology for hysteretic structural systems subject to seismic excitation. Computers and Structures, 242, Artikel 106359. https://doi.org/10.1016/j.compstruc.2020.106359
Ni, P., Fragkoulis, V. C., Kong, F., Mitseas, I. P., & Beer, M. (2021). Response Determination of Nonlinear Systems with Singular Matrices Subject to Combined Stochastic and Deterministic Excitations. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4), Artikel 04021049. https://doi.org/10.1061/AJRUA6.0001167
Pasparakis, G. D., Fragkoulis, V. C., & Beer, M. (2021). Harmonic wavelets based response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices. Mechanical Systems and Signal Processing, 149, Artikel 107203. https://doi.org/10.1016/j.ymssp.2020.107203
Salomon, J., Winnewisser, N., Wei, P., Broggi, M., & Beer, M. (2021). Efficient reliability analysis of complex systems in consideration of imprecision. Reliability engineering & system safety, 216, Artikel 107972. https://doi.org/10.1016/j.ress.2021.107972
Sarvari, H., Chan, D. W. M., Banaitiene, N., Noor, N. M., & Beer, M. (2021). Barriers to development of private sector investment in water and sewage industry. Built Environment Project and Asset Management, 11(1), 52-70. https://doi.org/10.1108/BEPAM-11-2019-0110
Song, J., Wei, P., Valdebenito, M., & Beer, M. (2021). Active learning line sampling for rare event analysis. Mechanical Systems and Signal Processing, 147, Artikel 107113. https://doi.org/10.1016/j.ymssp.2020.107113
Valdebenito, M. A., Jensen, H. A., Wei, P., Beer, M., & Beck, A. T. (2021). Application of a Reduced Order Model for Fuzzy Analysis of Linear Static Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 7(2), Artikel 020904. https://doi.org/10.1115/1.4050159
Valdebenito, M. A., Wei, P., Song, J., Beer, M., & Broggi, M. (2021). Failure Probability Estimation of a Class of Series Systems by Multidomain Line Sampling. Reliability Engineering and System Safety, 213, Artikel 107673. https://doi.org/10.1016/j.ress.2021.107673
Wan, Z., Chen, J., & Beer, M. (2021). 随机参数系统不确定性量化的泛函观点与整体灵敏度分析. Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics, 53(3), 837-854. https://doi.org/10.6052/0459-1879-20-336
Wei, P., Liu, F., Valdebenito, M., & Beer, M. (2021). Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty. Mechanical Systems and Signal Processing, 149, Artikel 107219. https://doi.org/10.1016/j.ymssp.2020.107219
Wei, P., Hong, F., Phoon, K.-K., & Beer, M. (2021). Bounds optimization of model response moments: a twin-engine Bayesian active learning method. Computational Mechanics, 67(5), 1273-1292. https://doi.org/10.1007/s00466-021-01977-8
Yang, L., Wang, P., Wang, Q., Bi, S., Peng, R., Behrensdorf, J., & Beer, M. (2021). Reliability analysis of a complex system with hybrid structures and multi-level dependent life metrics. Reliability engineering & system safety, 209, Artikel 107469. https://doi.org/10.1016/j.ress.2021.107469
Yuan, X., Liu, S., Faes, M., Valdebenito, M. A., & Beer, M. (2021). An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load. Mechanical Systems and Signal Processing, 159, Artikel 107699. https://doi.org/10.1016/j.ymssp.2021.107699
Yuan, X., Liu, S., Valdebenito, M. A., Faes, M. G. R., Jerez, D. J., Jensen, H. A., & Beer, M. (2021). Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space. Advances in Engineering Software, 157-158, Artikel 103020. https://doi.org/10.1016/j.advengsoft.2021.103020
Yuan, X., Faes, M. G. R., Liu, S., Valdebenito, M. A., & Beer, M. (2021). Efficient imprecise reliability analysis using the Augmented Space Integral. Reliability engineering & system safety, 210, Artikel 107477. https://doi.org/10.1016/j.ress.2021.107477