Buchbeiträge
Zeige Ergebnisse 1 - 6 von 6
Journal-Artikel
Zeige Ergebnisse 121 - 140 von 279
2022
Ni, P., Jerez, D. J., Fragkoulis, V. C., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2022). Operator Norm-Based Statistical Linearization to Bound the First Excursion Probability of Nonlinear Structures Subjected to Imprecise Stochastic Loading. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(1), Artikel 04021086. Vorabveröffentlichung online. https://doi.org/10.1061/AJRUA6.0001217
Pasparakis, G. D., Kougioumtzoglou, I. A., Fragkoulis, V. C., Kong, F., & Beer, M. (2022). Excitation–response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective. Mechanical Systems and Signal Processing, 169, Artikel 108701. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2021.108701
Pasparakis, G. D., dos Santos, K. R. M., Kougioumtzoglou, I. A., & Beer, M. (2022). Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods. Mechanical Systems and Signal Processing, 162, Artikel 107975. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2021.107975
Salomon, J., Behrensdorf, J., Winnewisser, N., Broggi, M., & Beer, M. (2022). Multidimensional resilience decision-making for complex and substructured systems. Resilient Cities and Structures, 1(3), 61-78. Vorabveröffentlichung online. https://doi.org/10.1016/j.rcns.2022.10.005
Song, J., Wei, P., Valdebenito, M. A., Faes, M., & Beer, M. (2022). Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration. Mechanical Systems and Signal Processing, 163, Artikel 108106. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2021.108106
Wang, Q., Feng, Y., Wu, D., Yang, C., Yu, Y., Li, G., Beer, M., & Gao, W. (2022). Polyphase uncertainty analysis through virtual modelling technique. Mechanical Systems and Signal Processing, 162, Artikel 108013. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2021.108013
Yang, J. S., Chen, J. B., Beer, M., & Jensen, H. (2022). An efficient approach for dynamic-reliability-based topology optimization of braced frame structures with probability density evolution method. Advances in engineering software, 173, Artikel 103196. Vorabveröffentlichung online. https://doi.org/10.1016/j.advengsoft.2022.103196
Yang, L., Bi, S., Faes, M. G. R., Broggi, M., & Beer, M. (2022). Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric. Mechanical Systems and Signal Processing, 162, Artikel 107954. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2021.107954
Zhang, K., Chen, N., Liu, J., & Beer, M. (2022). A GRU-based ensemble learning method for time-variant uncertain structural response analysis. Computer Methods in Applied Mechanics and Engineering, 391(391), Artikel 114516. Vorabveröffentlichung online. https://doi.org/10.1016/j.cma.2021.114516
Zhang, K., Chen, N., Zeng, P., Liu, J., & Beer, M. (2022). An efficient reliability analysis method for structures with hybrid time-dependent uncertainty. Reliability Engineering and System Safety, 228, Artikel 108794. Vorabveröffentlichung online. https://doi.org/10.1016/j.ress.2022.108794
Zhang, H., Bittner, M., & Beer, M. (2022). Method to generate artificial earthquake accelerations with time domain enhancement and attenuation characteristics. Ain Shams Engineering Journal, 13(3), Artikel 101606. Vorabveröffentlichung online. https://doi.org/10.1016/j.asej.2021.09.031
Zhang, H., Bittner, M., & Beer, M. (2022). Seismic Response Meta-model of High-Rise Fame Structure Based on Time-Delay Neural Network. KSCE journal of civil engineering, 26(5), 2273-2294. Vorabveröffentlichung online. https://doi.org/10.1007/s12205-022-0878-7
Zheng, Z., Beer, M., & Nackenhorst, U. (2022). An efficient reduced-order method for stochastic eigenvalue analysis. International Journal for Numerical Methods in Engineering, 123(23), 5884-5906. Vorabveröffentlichung online. https://doi.org/10.1002/nme.7092
Zheng, Z., Beer, M., Dai, H., & Nackenhorst, U. (2022). A weak-intrusive stochastic finite element method for stochastic structural dynamics analysis. Computer Methods in Applied Mechanics and Engineering, 399, Artikel 115360. Vorabveröffentlichung online. https://doi.org/10.1016/j.cma.2022.115360
2021
Bai, Y., Li, Y., Tang, Z., Bittner, M., Broggi, M., & Beer, M. (2021). Seismic collapse fragility of low-rise steel moment frames with mass irregularity based on shaking table test. Bulletin of Earthquake Engineering, 19(6), 2457-2482. Vorabveröffentlichung online. https://doi.org/10.1007/s10518-021-01076-2
Behrensdorf, J., Regenhardt, T-E., Broggi, M., & Beer, M. (2021). Numerically efficient computation of the survival signature for the reliability analysis of large networks. Reliability engineering & system
safety, 216, Artikel 107935. Vorabveröffentlichung online. https://doi.org/10.1016/j.ress.2021.107935
Bi, S., Beer, M., Zhang, J., Yang, L., & He, K. (2021). Optimization or Bayesian Strategy? Performance of the Bhattacharyya Distance in Different Algorithms of Stochastic Model Updating. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 7(2), Artikel 020903. Vorabveröffentlichung online. https://doi.org/10.1115/1.4050168
Dang, X. C., Wei, P., & Beer, M. (2021). An approach to evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitations. Mechanical Systems and Signal Processing, 152, Artikel 107468. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2020.107468
Dang, C., Wei, P., Song, J., & Beer, M. (2021). Estimation of Failure Probability Function under Imprecise Probabilities by Active Learning-Augmented Probabilistic Integration. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4), Artikel 04021054. Vorabveröffentlichung online. https://doi.org/10.1061/AJRUA6.0001179
Faes, M. G. R., Valdebenito, M. A., Yuan, X., Wei, P., & Beer, M. (2021). Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics. Advances in Engineering Software, 155, Artikel 102993. Vorabveröffentlichung online. https://doi.org/10.1016/j.advengsoft.2021.102993
