Buchbeiträge
First
1
First
1
Journal-Artikel
2026
Luo, Y., Lyu, M. Z., Broggi, M., Thiele, M., Fragkoulis, V. C., & Beer, M. (2026). Unified Framework for Hybrid Aleatory and Epistemic Uncertainty Propagation via Decoupled Multi-Probability Density Evolution Method. Reliability Engineering and System Safety, 270, Artikel 112171. https://doi.org/10.1016/j.ress.2025.112171, https://doi.org/10.48550/arXiv.2509.09535
Lyu, M. Z., Luo, Y., Zhang, S., & Beer, M. (2026). Path integral solution of the Li-Chen equation and its application to global dynamic reliability via time-variant extreme process. Reliability Engineering and System Safety, 272(Part 1), Artikel 112474. https://doi.org/10.1016/j.ress.2026.112474
Misraji, M. A., Valdebenito, M. A., Jerez, D. J., Jensen, H. A., Beer, M., & Faes, M. G. R. (2026). First excursion probability sensitivity in stochastic linear dynamics by means of multidomain line sampling. Reliability Engineering and System Safety, 272, Artikel 112389. https://doi.org/10.1016/j.ress.2026.112389
Perin, A., Hosseini, S. A., Zio, E., Broggi, M., & Beer, M. (2026). Enhanced Bayesian Network framework with imprecise probabilities for modelling degradation in concrete structures of radioactive waste disposals accounting for uncertainties due to climate change. Structural safety, 121, Artikel 102718. https://doi.org/10.1016/j.strusafe.2026.102718
Rong, Y., Yao, K., Ren, Y., Zheng, Y., Yao, Z., Shi, C., Singh, M. J., & Beer, M. (2026). Monitoring and analysis of excess pore water pressure response during jet grouting installation in liquefiable silty sand soils. Structures, 84, Artikel 111009. https://doi.org/10.1016/j.istruc.2025.111009
Singh, M. J., Yao, K., Lei, T., Liu, S., Zhang, Y., Yao, Z., & Beer, M. (2026). Load-bearing performance and failure behavior of multi-flange deep cement mixing columns. Marine Georesources and Geotechnology, 44(4), 883-897. https://doi.org/10.1080/1064119X.2025.2538816
Sun, Y., Zhu, H., Xu, Y., Feng, K., Xiong, Z., Ji, J. C., & Beer, M. (2026). A Class-Aware Supervised Contrastive Graph Network for CNC machining condition monitoring with class-imbalanced data. Mechanical Systems and Signal Processing, 256, Artikel 114479. https://doi.org/10.1016/j.ymssp.2026.114479
Tambat, P., Bittner, M., Behrendt, M. B., & Beer, M. (2026). Data-Driven Modeling of Synthetic Wind Speed Signals with Adaptive Temporal Resolution. Mechanical Systems and Signal Processing, 258, Artikel 114726. Vorzeitige Online-Publikation. https://doi.org/10.2139/ssrn.6531666
Wang, Z. W., Zhang, W. M., Lu, X. F., Fragkoulis, V. C., & Beer, M. (2026). Deep-Learning Framework for Dynamic Deflection Prediction of Suspension Bridges under Temperature, Traffic, and Wind Loads. Journal of bridge engineering, 31(2), Artikel 04025100. https://doi.org/10.1061/JBENF2.BEENG-7818
Xia, B., Xiao, J., Guan, X., & Beer, M. (2026). Dynamic multi-factor approach for deriving embodied carbon limit of building structures: Methodology and application in China. Building and environment, 287, Artikel 113788. https://doi.org/10.1016/j.buildenv.2025.113788
Xia, B., Xiao, J., Beer, M., & Guan, X. (2026). Linking structural safety and embodied carbon during service for low-carbon design of concrete structures under climate change. Engineering structures, 360, Artikel 122849. https://doi.org/10.1016/j.engstruct.2026.122849
Xu, Y., Guo, L., Li, X., Fang, Y., Zhang, W., Beer, M., & Sun, Y. (2026). A multiscale model for estimating spontaneous imbibition in tight porous media considering surface effects. Acta geotechnica, 21(6), 3209–3224. https://doi.org/10.1007/s11440-026-03020-7
Xu, Z., Bashir, M., Zhang, Q., Beer, M., Wang, J., & Yang, Z. (2026). Reliable prognosis for complex systems based on spatial-temporal representation modeling and uncertainty-aware dynamic Fusion. Measurement science and technology, 37(24), Artikel 245102. https://doi.org/10.1088/1361-6501/ae7463
Xu, H., Ma, J., Alshawawreh, A. W., Liu, L., Wriggers, P., Beer, M., & Khattak, M. A. K. (2026). Research on performance degradation of through-silicon via interconnect structures based on irreversible entropy. Computational mechanics, 78(1), 473-489. https://doi.org/10.1007/s00466-026-02764-z
Yin, W., Yuan, P., Cai, C. S., Xiong, W., & Beer, M. (2026). A non-iteration partitioned method with a sliding window for large-scale time-variant vehicle-track-bridge systems. Applied mathematical modelling, 154, Artikel 116698. https://doi.org/10.1016/j.apm.2025.116698
Zhang, X., Jiang, Y., Zhou, H., Beer, M., Faes, M. G. R., Xiao, Y., & He, Z. (2026). Failure mode identification for dynamic stochastic systems using operator norm and parameter space sample search. Reliability Engineering and System Safety, 272, Artikel 112643. https://doi.org/10.1016/j.ress.2026.112643
Zhao, Y., Yun, Q., Bi, S., Wang, X., & Beer, M. (2026). Interval model calibration with response-consistent supervised learning network. Mechanical Systems and Signal Processing, 247, Artikel 113942. https://doi.org/10.1016/j.ymssp.2026.113942
Zheng, Z., Hirzinger, B., Beer, M., & Nackenhorst, U. (2026). Frequency reliability analysis of large-scale high-dimensional stochastic structures. Reliability Engineering and System Safety, 269, Artikel 112078. https://doi.org/10.1016/j.ress.2025.112078
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, Artikel 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, Artikel 109856. https://doi.org/10.1016/j.istruc.2025.109856
