Buchbeiträge
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Journal-Artikel
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2023
Hong, F., Wei, P., Song, J., Valdebenito, M. A., Faes, M. G. R., & Beer, M. (2023). Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties. Computer Methods in Applied Mechanics and Engineering, 417, Artikel 116410. Vorabveröffentlichung online. https://doi.org/10.1016/j.cma.2023.116410
Hong, F., Wei, P., Song, J., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2023). Combining data and physical models for probabilistic analysis: A Bayesian Augmented Space Learning perspective. Probabilistic Engineering Mechanics, 73, Artikel 103474. https://doi.org/10.1016/j.probengmech.2023.103474
Hong, X., Song, Y., Kong, F., & Beer, M. (2023). The Typhoon Wind Hazard Assessment Considering the Correlation among the Key Random Variables Using the Copula Method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(2), Artikel 04023013. Vorabveröffentlichung online. https://doi.org/10.1061/AJRUA6.RUENG-1018
Jiang, Y., Li, Z., Zhou, H., Wang, F., Beer, M., & Zheng, J. (2023). Reliability Evaluation of RC Columns with Wind-Dominated Combination Considering Random Biaxial Eccentricity. Journal of Structural Engineering (United States), 149(1), Artikel 06022007. Vorabveröffentlichung online. https://doi.org/10.1061/(ASCE)ST.1943-541X.0003507
Kitahara, M., Dang, C., & Beer, M. (2023). Bayesian updating with two-step parallel Bayesian optimization and quadrature. Computer Methods in Applied Mechanics and Engineering, 403, Artikel 115735. Vorabveröffentlichung online. https://doi.org/10.1016/j.cma.2022.115735
Lai, J., Wang, K., Xu, J., Wang, P., Chen, R., Wang, S., & Beer, M. (2023). A failure probability assessment method for train derailments in railway yards based on IFFTA and NGBN. Engineering failure analysis, 154, Artikel 107675. Vorabveröffentlichung online. https://doi.org/10.1016/j.engfailanal.2023.107675
Liao, K., Wu, Y., Miao, F., Zhang, L., & Beer, M. (2023). Efficient System Reliability Analysis for Layered Soil Slopes with Multiple Failure Modes Using Sequential Compounding Method. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(2), Artikel 04023015. Vorabveröffentlichung online. https://doi.org/10.1061/AJRUA6.RUENG-1022
Liao, K., Wu, Y., Miao, F., Pan, Y., & Beer, M. (2023). Probabilistic risk assessment of earth dams with spatially variable soil properties using random adaptive finite element limit analysis. Engineering with computers, 39(5), 3313-3326. Vorabveröffentlichung online. https://doi.org/10.1007/s00366-022-01752-0
Liu, W., Ye, T., Yuan, P., Beer, M., & Tong, X. (2023). An explicit integration method with third-order accuracy for linear and nonlinear dynamic systems. Engineering structures, 274, Artikel 115013. Vorabveröffentlichung online. https://doi.org/10.1016/j.engstruct.2022.115013
Ma, J., Dai, C., Wang, B., Beer, M., & Wang, A. (2023). Random dynamic responses of solar array under thermal-structural coupling based on the isogeometric analysis. Acta Mechanica Sinica/Lixue Xuebao, 39(4), Artikel 722338. Vorabveröffentlichung online. https://doi.org/10.1007/s10409-023-22338-x
Mei, L. F., Yan, W. J., Yuen, K. V., Ren, W. X., & Beer, M. (2023). Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation. Mechanical Systems and Signal Processing, 203, Artikel 110702. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2023.110702
Mo, J., Yan, W. J., Yuen, K. V., & Beer, M. (2023). Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation. Mechanical Systems and Signal Processing, 188, Artikel 110040. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2022.110040
Ni, P., Fragkoulis, V. C., Kong, F., Mitseas, I. P., & Beer, M. (2023). Non-stationary response of nonlinear systems with singular parameter matrices subject to combined deterministic and stochastic excitation. Mechanical Systems and Signal Processing, 188, Artikel 110009. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2022.110009
Persoons, A., Wei, P., Broggi, M., & Beer, M. (2023). A new reliability method combining adaptive Kriging and active variance reduction using multiple importance sampling. Structural and Multidisciplinary Optimization, 66(6), Artikel 144. Vorabveröffentlichung online. https://doi.org/10.1007/s00158-023-03598-6
Shi, Y., Huang, H. Z., Liu, Y., & Beer, M. (2023). Adaptive decoupled robust design optimization. Structural safety, 105, Artikel 102378. Vorabveröffentlichung online. https://doi.org/10.1016/j.strusafe.2023.102378
Wan, Z., Chen, J., Tao, W., Wei, P., Beer, M., & Jiang, Z. (2023). A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertainties. Mechanical Systems and Signal Processing, 184, Artikel 109656. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2022.109656
Wang, C., Yang, L., Xie, M., Valdebenito, M., & Beer, M. (2023). Bayesian maximum entropy method for stochastic model updating using measurement data and statistical information. Mechanical Systems and Signal Processing, 188, Artikel 110012. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2022.110012
Wang, Z. W., Lu, X. F., Zhang, W. M., Fragkoulis, V. C., Beer, M., & Zhang, Y. F. (2023). Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring. Computers and Structures, 284, Artikel 107070. Vorabveröffentlichung online. https://doi.org/10.1016/j.compstruc.2023.107070
Weng, L. L., Yang, J. S., Chen, J. B., & Beer, M. (2023). Structural design optimization under dynamic reliability constraints based on probability density evolution method and quantum-inspired optimization algorithm. Probabilistic Engineering Mechanics, 74, Artikel 103494. Vorabveröffentlichung online. https://doi.org/10.1016/j.probengmech.2023.103494
Xu, Y., Ji, J. C., Ni, Q., Feng, K., Beer, M., & Chen, H. (2023). A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems. Mechanical Systems and Signal Processing, 200, Artikel 110609. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2023.110609
