Buchbeiträge
Zeige Ergebnisse 1 - 6 von 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; Band 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 (S. 251-256). (Studies in Systems, Decision and Control; Band 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 (S. 21-48). (Springer Series in Reliability Engineering; Band Part F266). Springer Science and Business Media Deutschland GmbH. Vorabveröffentlichung online. 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 (S. 78-85). (Studies in Computational Intelligence; Band 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 (Hrsg.), Computational Complexity: Theory, Techniques, and Applications (S. 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 (S. 2074-2077). Elsevier Inc.. https://doi.org/10.1016/B978-008044046-0.50509-1
Journal-Artikel
Zeige Ergebnisse 1 - 20 von 276
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, Artikel 111078. Vorabveröffentlichung online. 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, Artikel 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, Artikel 111210. Vorabveröffentlichung online. 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, Artikel 110053. Vorabveröffentlichung online. 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, Artikel 116828. Vorabveröffentlichung online. 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, Artikel 110052. Vorabveröffentlichung online. https://doi.org/10.1016/j.ress.2024.110052
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), Artikel 04024017. https://doi.org/10.1061/AJRUA6.RUENG-1169
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, Artikel 109939. Vorabveröffentlichung online. https://doi.org/10.1016/j.ress.2024.109939
Hu, Z., Dang, C., Wang, L., & Beer, M. (2024). Parallel Bayesian probabilistic integration for structural reliability analysis with small failure probabilities. Structural safety, 106, Artikel 102409. Vorabveröffentlichung online. 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, Artikel 107445. Vorabveröffentlichung online. 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, Artikel 110880. Vorabveröffentlichung online. 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, Artikel 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, Artikel 111043. Vorabveröffentlichung online. 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, Artikel 109771. Vorabveröffentlichung online. 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, Artikel 109972. Vorabveröffentlichung online. 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. Vorabveröffentlichung online. https://doi.org/10.1080/15732479.2022.2131842
Lai, J., Wang, K., Shi, Y., Xu, J., Chen, J., Wang, P., & Beer, M. (2024). Reliability assessment of freight wagon passing through railway turnouts using adaptive Kriging surrogate model. International Journal of Rail Transportation. Vorabveröffentlichung online. https://doi.org/10.1080/23248378.2024.2304000
Li, S., Ji, J. C., Xu, Y., Feng, K., Zhang, K., Feng, J., Beer, M., Ni, Q., & Wang, Y. (2024). Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults. Mechanical Systems and Signal Processing, 210, Artikel 111142. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2024.111142
Li, J., Shao, F. S., He, Z. W., Ma, J., Qiu, Y. Y., & Beer, M. (2024). Multiaxial fatigue life prediction using an improved Smith-Watson-Topper model. Fatigue and Fracture of Engineering Materials and Structures. Vorabveröffentlichung online. https://doi.org/10.1111/ffe.14285
