Book Chapter
Showing results 1 - 6 out of 6
2023
Chen, Y., Patelli, E., Edwards, B., & Beer, M. (2023). Spectral Density Estimation Of Stochastic Processes Under Missing Data And Uncertainty Quantification With Bayesian Deep Learning. In Ecomas Proceedia UNCECOMP 2023 (International Conference on Uncertainty Quantification in Computational Science and Engineering; Vol. 5). National Technical University of Athens. https://doi.org/10.7712/120223.10371.19949
Galindo, O., Ibarra, C., Kreinovich, V., & Beer, M. (2023). Fourier Transform and Other Quadratic Problems Under Interval Uncertainty. In Decision Making Under Uncertainty and Constraints (pp. 251-256). (Studies in Systems, Decision and Control; Vol. 217). Springer Verlag. https://doi.org/10.1007/978-3-031-16415-6_37
Jerez, D. J., Jensen, H. A., & Beer, M. (2023). A Two-Phase Sampling Approach for Reliability-Based Optimization in Structural Engineering. In Advances in Reliability and Maintainability Methods and Engineering Applications: Essays in Honor of Professor Hong-Zhong Huang on his 60th Birthday (pp. 21-48). (Springer Series in Reliability Engineering; Vol. Part F266). Springer Science and Business Media Deutschland GmbH. Advance online publication. https://doi.org/10.1007/978-3-031-28859-3_2
2017
Neumann, I., Beer, M., Gong, Z., Sriboonchitta, S., & Kreinovich, V. (2017). What if we do not know correlations? In Studies in Computational Intelligence (pp. 78-85). (Studies in Computational Intelligence; Vol. 760). Springer Verlag. https://doi.org/10.1007/978-3-319-73150-6_5
2012
Beer, M. (2012). Fuzzy probability theory. In R. A. Meyers (Ed.), Computational Complexity: Theory, Techniques, and Applications (pp. 1240-1252). Springer New York. https://doi.org/10.1007/978-1-4614-1800-9_76
2003
Möller, B., Graf, W., Beer, M., & Sickert, J. U. (2003). Fuzzy stochastic finite element method. In Computational Fluid and Solid Mechanics 2003 (pp. 2074-2077). Elsevier Inc.. https://doi.org/10.1016/B978-008044046-0.50509-1
Journal Articles
Showing results 1 - 20 out of 279
2024
Behrendt, M., Dang, C., & Beer, M. (2024). Data-driven and physics-based interval modelling of power spectral density functions from limited data. Mechanical Systems and Signal Processing, 208, Article 111078. Advance online publication. https://doi.org/10.1016/j.ymssp.2023.111078
Behrendt, M., Lyu, M. Z., Luo, Y., Chen, J. B., & Beer, M. (2024). Failure probability estimation of dynamic systems employing relaxed power spectral density functions with dependent frequency modeling and sampling. Probabilistic Engineering Mechanics, 75, Article 103592. https://doi.org/10.1016/j.probengmech.2024.103592
Bittner, M., Behrendt, M., & Beer, M. (2024). Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals. Mechanical Systems and Signal Processing, 211, Article 111210. Advance online publication. https://doi.org/10.1016/j.ymssp.2024.111210
Chen, G., Yang, J., Wang, R., Li, K., Liu, Y., & Beer, M. (2024). Response to discussion of “Seismic damage analysis due to near-fault multipulse ground motion”. Earthquake Engineering and Structural Dynamics, 53(2), 861-866. https://doi.org/10.1002/eqe.4046
Dang, C., Valdebenito, M. A., Wei, P., Song, J., & Beer, M. (2024). Bayesian active learning line sampling with log-normal process for rare-event probability estimation. Reliability Engineering and System Safety, 246, Article 110053. Advance online publication. https://doi.org/10.1016/j.ress.2024.110053
Dang, C., Faes, M. G. R., Valdebenito, M. A., Wei, P., & Beer, M. (2024). Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilities. Computer Methods in Applied Mechanics and Engineering, 422, Article 116828. Advance online publication. https://doi.org/10.1016/j.cma.2024.116828
Dang, C., & Beer, M. (2024). Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities. Reliability Engineering and System Safety, 246, Article 110052. Advance online publication. https://doi.org/10.1016/j.ress.2024.110052
Dang, C., Cicirello, A., Valdebenito, M. A., Faes, M. G. R., Wei, P., & Beer, M. (2024). Structural reliability analysis with extremely small failure probabilities: A quasi-Bayesian active learning method. Probabilistic Engineering Mechanics, 76, Article 103613. Advance online publication. https://doi.org/10.1016/j.probengmech.2024.103613
Ding, C., Dang, C., Broggi, M., & Beer, M. (2024). Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10(2), Article 04024017. https://doi.org/10.1061/AJRUA6.RUENG-1169
Feng, C., Valdebenito, M. A., Chwała, M., Liao, K., Broggi, M., & Beer, M. (2024). Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments. Journal of Rock Mechanics and Geotechnical Engineering, 16(4), 1140-1152. Advance online publication. https://doi.org/10.1016/j.jrmge.2023.09.006
Hong, F., Wei, P., Fu, J., & Beer, M. (2024). A sequential sampling-based Bayesian numerical method for reliability-based design optimization. Reliability Engineering and System Safety, 244, Article 109939. Advance online publication. https://doi.org/10.1016/j.ress.2024.109939
Hong, F., Wei, P., & Beer, M. (2024). Parallelization of adaptive Bayesian cubature using multimodal optimization algorithms. Engineering Computations (Swansea, Wales), 41(2), 413-437. Advance online publication. https://doi.org/10.1108/EC-12-2023-0957
Hu, Z., Dang, C., Wang, L., & Beer, M. (2024). Parallel Bayesian probabilistic integration for structural reliability analysis with small failure probabilities. Structural safety, 106, Article 102409. Advance online publication. https://doi.org/10.1016/j.strusafe.2023.102409
Hu, Y., Wang, Y., Phoon, K. K., & Beer, M. (2024). Similarity quantification of soil spatial variability between two cross-sections using auto-correlation functions. Engineering geology, 331, Article 107445. Advance online publication. https://doi.org/10.1016/j.enggeo.2024.107445
Huang, Z., Chen, G., & Beer, M. (2024). Multi-taper S-transform method for estimating Wigner-Ville and Loève spectra of quasi-stationary harmonizable processes. Mechanical Systems and Signal Processing, 206, Article 110880. Advance online publication. https://doi.org/10.1016/j.ymssp.2023.110880
Huang, Z., & Beer, M. (2024). Probability distributions for dynamic and extreme responses of linear elastic structures under quasi-stationary harmonizable loads. Probabilistic Engineering Mechanics, 75, Article 103590. https://doi.org/10.1016/j.probengmech.2024.103590
Jerez, D. J., Fragkoulis, V. C., Ni, P., Mitseas, I. P., Valdebenito, M. A., Faes, M. G. R., & Beer, M. (2024). Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads. Mechanical Systems and Signal Processing, 208, Article 111043. Advance online publication. https://doi.org/10.1016/j.ymssp.2023.111043
Jerez, D. J., Chwała, M., Jensen, H. A., & Beer, M. (2024). Optimal borehole placement for the design of rectangular shallow foundation systems under undrained soil conditions: A stochastic framework. Reliability Engineering and System Safety, 242, Article 109771. Advance online publication. https://doi.org/10.1016/j.ress.2023.109771
Jiang, Y., Zhang, X., Beer, M., Zhou, H., & Leng, Y. (2024). An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm. Reliability Engineering and System Safety, 245, Article 109972. Advance online publication. https://doi.org/10.1016/j.ress.2024.109972
Jiang, Y., Zheng, J., Yang, K., Zhou, H., & Beer, M. (2024). Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity. Structure and Infrastructure Engineering, 20(5), 730-740. Advance online publication. https://doi.org/10.1080/15732479.2022.2131842
