Book Chapter
Showing results 1 - 11 out of 11
2025
Salomon, J., Broggi, M., & Beer, M. (2025). Resilience-Based Decision Criteria for Optimal Regeneration. In Regeneration of Complex Capital Goods: Contributions to the Final Symposium of the Collaborative Research Center 871 (pp. 393-422) https://doi.org/10.1007/978-3-031-51395-4_20
2024
Tyrsin, A. N., Kashcheev, S. E., Beer, M., Kashcheev, S. E., & Gerget, O. M. (2024). Entropy Indicators of Cascading Failures Risk in Gaussian Interconnected Network Structures. In Cyber-Physical Systems: Industry 4.0 to Industry 5.0 Transition (pp. 219-234). (Studies in Systems, Decision and Control; Vol. 560). https://doi.org/10.1007/978-3-031-67911-7_17
2023
Beer, M. (2023). Fuzzy Probability Theory. In Granular, Fuzzy, and Soft ComputingTsau: A Volume in the Encyclopedia ofComplexity and Systems Science,Second Edition (pp. 51–75). (Encyclopedia of Complexity and Systems Science Series). https://doi.org/10.1007/978-1-0716-2628-3_237
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. https://doi.org/10.1007/978-3-031-28859-3_2
Wei, P., & Beer, M. (2023). Regression Models for Machine Learning. In Machine Learning in Modeling and Simulation : Methods and Applications (Computational Methods in Engineering & the Sciences (CMES) ). https://doi.org/10.1007/978-3-031-36644-4_9
2022
Bi, S., & Beer, M. (2022). Overview of Stochastic Model Updating in Aerospace Application Under Uncertainty Treatment. In Uncertainty in Engineering. SpringerBriefs in Statistics (pp. 115-130). (Uncertainty in Engineering. SpringerBriefs in Statistics (BRIEFSSTATIST)). https://doi.org/10.1007/978-3-030-83640-5_8
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
Showing results 1 - 11 out of 11
Journal Articles
Showing results 1 - 20 out of 341
2025
Al-Washali, B. M., Yao, K., Satchithananthan, U., Yao, Z., Tawfek, A. M., Pan, Y., & Beer, M. (2025). Numerical investigation on the effect of cutterhead shapes on tunnel face stability. Tunnelling and Underground Space Technology, 163, Article 106628. https://doi.org/10.1016/j.tust.2025.106628
Chen, X., Zhang, D., Beer, M., & Aadil, M. (2025). Improved efficiency and accuracy in Bayesian structural model updating via DREAMCMAZS sampling and Kriging surrogates. Structures, 80, Article 109856. https://doi.org/10.1016/j.istruc.2025.109856
Chen, J., Zhang, B., Guo, L., Zhang, H., Achmus, M., & Beer, M. (2025). Study on stress dips in granite residual soil based on experiments and DEM. Granular matter, 27(3), Article 47. https://doi.org/10.1007/s10035-025-01523-w
Dai, H., Li, D., & Beer, M. (2025). Adaptive Kriging-assisted multi-fidelity subset simulation for reliability analysis. Computer Methods in Applied Mechanics and Engineering, 436, Article 117705. https://doi.org/10.1016/j.cma.2024.117705
Elias, S., Beer, M., & Chen, J. (2025). Assessing seismic vulnerability of modular buildings under earthquake ground motions. Engineering structures, 331, Article 120002. https://doi.org/10.1016/j.engstruct.2025.120002
Elias, S., Beer, M., & Mahmoud, H. (2025). Assessments of Seismic Response and Energy Harvesting of Offshore Wind Turbines Equipped with Tuned Mass Damper Inerter. Journal of structural engineering, 151(10), Article 04025145. https://doi.org/10.1061/JSENDH.STENG-14938
Feng, C., Zheng, Z., & Beer, M. (2025). Efficient simulation of conditional random fields and its geotechnical applications. Engineering geology, 356, Article 108284. https://doi.org/10.1016/j.enggeo.2025.108284
Feng, C., Broggi, M., Hu, Y., Faes, M. G. R., & Beer, M. (2025). Interval Fields for Geotechnical Engineering Uncertainty Analysis under Limited Data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 11(2), Article 04025004. https://doi.org/10.1061/AJRUA6.RUENG-1467
Fina, M., Valdebenito, M. A., Wagner, W., Broggi, M., Freitag, S., Faes, M. G. R., & Beer, M. (2025). Control Variates Method to Estimate Stochastic Buckling Loads. International Journal for Numerical Methods in Engineering, 126(13), Article e70070. https://doi.org/10.1002/nme.70070
Grashorn, J., Bittner, M., Banse, M., Chang, X., Beer, M., & Fau, A. (2025). Namazu: Low-Cost Tunable Shaking Table for Vibration Experiments Under Generic Signals. Experimental techniques, 49(1), 97–115. Article 102994. https://doi.org/10.1007/s40799-024-00727-8
Hong, F., Song, J., Wei, P., Huang, Z., & Beer, M. (2025). A stratified beta-sphere sampling method combined with important sampling and active learning for rare event analysis. Structural safety, 112, Article 102546. https://doi.org/10.1016/j.strusafe.2024.102546
Hong, F., Wei, P., Bi, S., & Beer, M. (2025). Efficient variational Bayesian model updating by Bayesian active learning. Mechanical Systems and Signal Processing, 224, Article 112113. https://doi.org/10.1016/j.ymssp.2024.112113
Hu, Z., Dang, C., Wang, D., Beer, M., & Wang, L. (2025). Error-informed parallel adaptive Kriging method for time-dependent reliability analysis. Reliability Engineering and System Safety, 262, Article 111194. https://doi.org/10.1016/j.ress.2025.111194
Huang, T., Zhang, Q., Beer, M., Liu, Y., & Huang, H. Z. (2026). A dynamic reliability assessment method for multi-state manufacturing system by merging imprecise observational information. Reliability Engineering and System Safety, 266, Article 111722. Advance online publication. https://doi.org/10.1016/j.ress.2025.111722
Lai, J., Wang, K., Shi, Y., Xu, J., Chen, J., Wang, P., & Beer, M. (2025). Reliability assessment of freight wagon passing through railway turnouts using adaptive Kriging surrogate model. International Journal of Rail Transportation, 13(1), 49-68. https://doi.org/10.1080/23248378.2024.2304000
Lei, Z., Tian, F., Su, Y., Wen, G., Feng, K., Chen, X., Beer, M., & Yang, C. (2025). Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions. Reliability Engineering and System Safety, 255, Article 110684. https://doi.org/10.1016/j.ress.2024.110684
Li, Y., Geng, C., Yang, Y., Chen, S., Feng, K., & Beer, M. (2025). Extraction of instantaneous frequencies for signals with intersecting and intermittent trajectories. Mechanical Systems and Signal Processing, 223, Article 111835. https://doi.org/10.1016/j.ymssp.2024.111835
Li, J., Bai, Y., Bi, S., & Beer, M. (2025). Thermomechanical behavior of steel structural configurations subjected to cyclic cryogenic conditions in Martian environment. Advances in space research, 76(6), 3700-3716. https://doi.org/10.1016/j.asr.2025.06.069
Liao, K., Zhao, X., Wu, Y., Miao, F., Pan, Y., & Beer, M. (2025). Efficient reliability analysis of slopes in spatially variable soils with active learning-assisted bootstrap polynomial chaos expansion. Computers and geotechnics, 179, Article 107022. https://doi.org/10.1016/j.compgeo.2024.107022
Liu, J., Shi, Y., Ding, C., & Beer, M. (2025). Efficient global sensitivity analysis framework and approach for structures with hybrid uncertainties. Computer Methods in Applied Mechanics and Engineering, 436, Article 117726. https://doi.org/10.1016/j.cma.2024.117726
Showing results 1 - 20 out of 341
