Buchbeiträge
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Journal-Artikel
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2024
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. 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. 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, 47(6), 1944-1961. Vorabveröffentlichung online. https://doi.org/10.1111/ffe.14285
Liu, J., Shi, Y., Ding, C., & Beer, M. (2024). Hybrid uncertainty propagation based on multi-fidelity surrogate model. Computers and Structures, 293, Artikel 107267. https://doi.org/10.1016/j.compstruc.2023.107267
Lyu, M. Z., Feng, D. C., Cao, X. Y., & Beer, M. (2024). A full-probabilistic cloud analysis for structural seismic fragility via decoupled M-PDEM. Earthquake Engineering and Structural Dynamics, 53(5), 1863-1881. https://doi.org/10.1002/eqe.4093
Mao, W., Zhang, W., Feng, K., Beer, M., & Yang, C. (2024). Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines. Reliability Engineering and System Safety, 242, Artikel 109695. https://doi.org/10.1016/j.ress.2023.109695
Rafieyan, A., Sarvari, H., Beer, M., & Chan, D. W. M. (2024). Determining the effective factors leading to incidence of human error accidents in industrial parks construction projects: Results of a fuzzy Delphi survey. International Journal of Construction Management, 24(7), 748-760. https://doi.org/10.1080/15623599.2022.2159630
Sarvari, H., Asaadsamani, P., Olawumi, T. O., Chan, D. W. M., Rashidi, A., & Beer, M. (2024). Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts. Architectural Engineering and Design Management. Vorabveröffentlichung online. https://doi.org/10.1080/17452007.2024.2329687
Shi, Y., Behrensdorf, J., Zhou, J., Hu, Y., Broggi, M., & Beer, M. (2024). Network reliability analysis through survival signature and machine learning techniques. Reliability engineering & system
safety, 242, Artikel 109806. https://doi.org/10.1016/j.ress.2023.109806
Wang, Z. W., Lu, X. F., Zhang, W. M., Fragkoulis, V. C., Zhang, Y. F., & Beer, M. (2024). Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring. Journal of Wind Engineering and Industrial Aerodynamics, 247, Artikel 105679. https://doi.org/10.1016/j.jweia.2024.105679
Wang, R., Li, S., Liu, Y., Hu, X., Lai, X., & Beer, M. (2024). Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty. Computers and geotechnics, 168, Artikel 106128. https://doi.org/10.1016/j.compgeo.2024.106128
Wang, L., Hu, Z., Dang, C., & Beer, M. (2024). Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities. Reliability Engineering and System Safety, 244, Artikel 109953. https://doi.org/10.1016/j.ress.2024.109953
Wang, C., Beer, M., Faes, M. G. R., & Feng, D. C. (2024). Resilience Assessment under Imprecise Probability. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10(2), Artikel 04024025. Vorabveröffentlichung online. https://doi.org/10.1061/AJRUA6.RUENG-1244
You, Z., Miao, H., Shi, Y., & Beer, M. (2024). Improving the performance of low-frequency magnetic energy harvesters using an internal magnetic-coupled mechanism. Journal of applied physics, 135(8), Artikel 084101. https://doi.org/10.1063/5.0195091
Yuan, P., Yuen, K. V., Beer, M., Cai, C. S., & Yan, W. (2024). A non-iterative partitioned computational method with the energy conservation property for time-variant dynamic systems. Mechanical Systems and Signal Processing, 209, Artikel 111105. https://doi.org/10.1016/j.ymssp.2024.111105
Zhang, Y., Dong, Y., & Beer, M. (2024). rLSTM-AE for dimension reduction and its application to active learning-based dynamic reliability analysis. Mechanical Systems and Signal Processing, 215, Artikel 111426. Vorabveröffentlichung online. https://doi.org/10.1016/j.ymssp.2024.111426
Zheng, Z., Beer, M., & Nackenhorst, U. (2024). Efficient stochastic modal decomposition methods for structural stochastic static and dynamic analyses. International Journal for Numerical Methods in Engineering, 125(12), Artikel e7469. Vorabveröffentlichung online. https://doi.org/10.1002/nme.7469
Zhou, T., Guo, T., Dang, C., & Beer, M. (2024). Bayesian reinforcement learning reliability analysis. Computer Methods in Applied Mechanics and Engineering, 424, Artikel 116902. https://doi.org/10.1016/j.cma.2024.116902
Zhuang, J., Jia, M., Huang, C. G., Beer, M., & Feng, K. (2024). Health prognosis of bearings based on transferable autoregressive recurrent adaptation with few-shot learning. Mechanical Systems and Signal Processing, 211, Artikel 111186. https://doi.org/10.1016/j.ymssp.2024.111186
