Publications of Prof. Dr.-Ing. Michael Beer (FIS)

Book Chapter

Showing results 1 - 6 out of 6

Journal Articles

Showing results 81 - 100 out of 302

2023


Feng, C., Faes, M., Broggi, M., Dang, C., Yang, J., Zheng, Z., & Beer, M. (2023). Application of interval field method to the stability analysis of slopes in presence of uncertainties. Computers and geotechnics, 153, Article 105060. https://doi.org/10.1016/j.compgeo.2022.105060
Feng, K., Ji, J. C., Zhang, Y., Ni, Q., Liu, Z., & Beer, M. (2023). Digital twin-driven intelligent assessment of gear surface degradation. Mechanical Systems and Signal Processing, 186, Article 109896. https://doi.org/10.1016/j.ymssp.2022.109896
Goeing, J., Seehausen, H., Stania, L., Nuebel, N., Salomon, J., Ignatidis, P., Dinkelacker, F., Beer, M., Denkena, B., Seume, J. R., & Friedrichs, J. (2023). Virtual process for evaluating the influence of real combined module variations on the overall performance of an aircraft engine. Journal of the Global Power and Propulsion Society, 7, 95-112. https://doi.org/10.33737/jgpps/160055
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, Article 116410. 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, Article 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), Article 04023013. 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), Article 06022007. 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, Article 115735. 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, Article 107675. 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), Article 04023015. 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. 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, Article 115013. 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), Article 722338. 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, Article 110702. 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, Article 110040. 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, Article 110009. 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), Article 144. 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, Article 102378. 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, Article 109656. 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, Article 110012. https://doi.org/10.1016/j.ymssp.2022.110012