Buchbeiträge
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Zeige Ergebnisse 1 - 11 von 11
Journal-Artikel
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2021
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
Yuan, X., Liu, S., Valdebenito, M. A., Gu, J., & Beer, M. (2021). Efficient procedure for failure probability function estimation in augmented space. Structural Safety, 92, Artikel 102104. https://doi.org/10.1016/j.strusafe.2021.102104
Zhao, M.-Y., Yan, W.-J., Yuen, K.-V., & Beer, M. (2021). Non-probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model. Mechanical Systems and Signal Processing, 156, Artikel 107559. https://doi.org/10.1016/j.ymssp.2020.107559
Zhu, W., Hu, Y., Chen, N., Liu, J., & Beer, M. (2021). A fuzzy and random moment-based arbitrary polynomial chaos method for response analysis of composite structural–acoustic system with multi-scale uncertainties. Applied Acoustics, 177, Artikel 107913. https://doi.org/10.1016/j.apacoust.2021.107913
Zhu, W., 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 system. Mechanical Systems and Signal Processing, 149, Artikel 107184. https://doi.org/10.1016/j.ymssp.2020.107184
2020
Bai, Y., 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 Motions. Journal of Earthquake Engineering, 26(6), 3012-3033. https://doi.org/10.1080/13632469.2020.1784315
Chen, J., Wan, Z., & Beer, M. (2020). A global sensitivity index based on Fréchet derivative and its efficient numerical analysis. Probabilistic Engineering Mechanics, 62, Artikel 103096. https://doi.org/10.1016/j.probengmech.2020.103096
Chen, J., Comerford, L., Peng, Y., Beer, M., & Li, J. (2020). Reduction of random variables in the Stochastic Harmonic Function representation via spectrum-relative dependent random frequencies. Mechanical Systems and Signal Processing, 141, Artikel 106718. https://doi.org/10.1016/j.ymssp.2020.106718
Eckert, C., Beer, M., & Spanos, P. D. (2020). A polynomial chaos method for arbitrary random inputs using B-splines. Probabilistic Engineering Mechanics, 60, Artikel 103051. https://doi.org/10.1016/j.probengmech.2020.103051
Faes, M. G. R., Valdebenito, M. A., Moens, D., & Beer, M. (2020). Bounding the first excursion probability of linear structures subjected to imprecise stochastic loading. Computers & structures, 239, Artikel 106320. https://doi.org/10.1016/j.compstruc.2020.106320
Feng, C., Tian, B., Lu, X., Beer, M., Broggi, M., Bi, S., Xiong, B., & He, T. (2020). Bayesian updating of soil-water character curve parameters based on the monitor data of a large-scale landslide model experiment. Applied Sciences (Switzerland), 10(16), Artikel 5526. https://doi.org/10.3390/app10165526
He, L., Liu, Y., Bi, S., Wang, L., Broggi, M., & Beer, M. (2020). Estimation of failure probability in braced excavation using Bayesian networks with integrated model updating. Underground Space (China), 5(4), 315-323. https://doi.org/10.1016/j.undsp.2019.07.001
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