Publications
- E-pub ahead of print
1. Monitoring for Resiliency of Urban Tunnels 2. Robust Monitoring and Maintenance for Durability 3. Resilience Engineering at System Scale
Beer, M., Ayyub, B. & Phoon, K. K., 14 Aug 2018, (E-pub ahead of print) Resilience Engineering for Urban Tunnels. Beer, M., Huang, H., Ayyub, B. M., Zhang, D. & Phillips, B. M. (eds.). Reston: American Society of Civil Engineers (ASCE), p. 105-113 (Infrastructure Resilience Publication; vol. v.2).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
- Published
A Bayesian Augmented-Learning framework for spectral uncertainty quantification of incomplete records of stochastic processes
Chen, Y., Patelli, E., Edwards, B. & Beer, M., 1 Oct 2023, In: Mechanical Systems and Signal Processing. 200, 110573.Research output: Contribution to journal › Article › Research › peer review
- External
A clustering approach to a major-accident data set: Analysis of key interactions to minimise human errors
Moura, R., Beer, M., Doell, C. & Kruse, R., 2015, 2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA): October 20-21, 2015, Rabat, Morocco, ENSIAS, Rabat, Morocco. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., p. 1838-1843 6 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
A collocation scheme for deep uncertainty treatment
Dannert, M. M., Fau, A., N. Fleury, R. M., Broggi, M., Nackenhorst, U. & Beer, M., 2019. 8 p.Research output: Contribution to conference › Paper › Research › peer review
- External
A compressive sensing based approach for estimating stochastic process power spectra subject to missing data
Comerford, L., Kougioumtzoglou, I. A. & Beer, M., 2014, Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014. Cunha, A., Ribeiro, P., Caetano, E. & Muller, G. (eds.). p. 2995-2999 5 p. (Proceedings of the International Conference on Structural Dynamic , EURODYN; vol. 2014-January).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- External
A computational tool for Bayesian networks enhanced with reliability methods
Tolo, S., Patelli, E., Beer, M. & Kang, Z., 2015, Uncertainty quantification in computational sciences and engineering: UNCECOMP 2015 : proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering : held in Crete, Greece, 25-27 May 2015. Athens: National Technical University of Athens, p. 908-923 16 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Active learning line sampling for rare event analysis
Song, J., Wei, P., Valdebenito, M. & Beer, M., 15 Jan 2021, In: Mechanical Systems and Signal Processing. 147, 107113.Research output: Contribution to journal › Article › Research › peer review
- Published
Adaptive decoupled robust design optimization
Shi, Y., Huang, H. Z., Liu, Y. & Beer, M., Nov 2023, In: Structural safety. 105, 102378.Research output: Contribution to journal › Article › Research › peer review
- Published
Adaptive experiment design for probabilistic integration
Wei, P., Zhang, X. & Beer, M., 15 Jun 2020, In: Computer Methods in Applied Mechanics and Engineering. 365, 113035.Research output: Contribution to journal › Article › Research › peer review
- Published
Adaptive Kriging-assisted multi-fidelity subset simulation for reliability analysis
Dai, H., Li, D. & Beer, M., 1 Mar 2025, In: Computer Methods in Applied Mechanics and Engineering. 436, 117705.Research output: Contribution to journal › Article › Research › peer review
- Published
Adaptive reliability analysis for rare events evaluation with global imprecise line sampling
Song, J., Wei, P., Valdebenito, M. & Beer, M., 1 Dec 2020, In: Computer Methods in Applied Mechanics and Engineering. 372, 113344.Research output: Contribution to journal › Article › Research › peer review
- Published
A Distributionally Robust Approach for Mixed Aleatory and Epistemic Uncertainties Propagation
Kitahara, M., Song, J., Wei, P., Broggi, M. & Beer, M., 10 Apr 2022, In: AIAA journal. 60, 7, p. 4471-4477 7 p.Research output: Contribution to journal › Article › Research › peer review
- External
Advanced Line Sampling for efficient robust reliability analysis
de Angelis, M., Patelli, E. & Beer, M., Jan 2015, In: Structural Safety. 52, Part B, p. 170-182 13 p.Research output: Contribution to journal › Article › Research › peer review
- Published
A failure probability assessment method for train derailments in railway yards based on IFFTA and NGBN
Lai, J., Wang, K., Xu, J., Wang, P., Chen, R., Wang, S. & Beer, M., Dec 2023, In: Engineering failure analysis. 154, 107675.Research output: Contribution to journal › Article › Research › peer review
- Published
A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertainties
Wan, Z., Chen, J., Tao, W., Wei, P., Beer, M. & Jiang, Z., 1 Feb 2023, In: Mechanical Systems and Signal Processing. 184, 109656.Research output: Contribution to journal › Article › Research › peer review
- Published
A full-probabilistic cloud analysis for structural seismic fragility via decoupled M-PDEM
Lyu, M. Z., Feng, D. C., Cao, X. Y. & Beer, M., 14 Mar 2024, In: Earthquake Engineering and Structural Dynamics. 53, 5, p. 1863-1881 19 p.Research output: Contribution to journal › Article › Research › peer review
- Published
A fuzzy and random moment-based arbitrary polynomial chaos method for response analysis of composite structural–acoustic system with multi-scale uncertainties
Zhu, W., Hu, Y., Chen, N., Liu, J. & Beer, M., Jun 2021, In: Applied Acoustics. 177, 107913.Research output: Contribution to journal › Article › Research › peer review
- Published
A general two-phase Markov chain Monte Carlo approach for constrained design optimization: Application to stochastic structural optimization
Jensen, H., Jerez, D. & Beer, M., 1 Jan 2021, In: Computer Methods in Applied Mechanics and Engineering. 373, 113487.Research output: Contribution to journal › Article › Research › peer review
- Published
A global sensitivity index based on Fréchet derivative and its efficient numerical analysis
Chen, J., Wan, Z. & Beer, M., Oct 2020, In: Probabilistic Engineering Mechanics. 62, 103096.Research output: Contribution to journal › Article › Research › peer review
- Published
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
Xu, Y., Ji, J. C., Ni, Q., Feng, K., Beer, M. & Chen, H., 1 Oct 2023, In: Mechanical Systems and Signal Processing. 200, 110609.Research output: Contribution to journal › Article › Research › peer review