Publications
- Published
Bayesian model updating for existing seismi-isolated bridges using observed acceleration response data
Kitahara, M., Broggi, M. & Beer, M., 2020, EURODYN 2020: XI International Conference on Structural Dynamics, Proceedings, Volume II. Papadrakakis, M., Fragiadakis, M. & Papadimitriou, C. (eds.). First Edition ed. p. 3558-3566 9 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
- Published
Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method
Kitahara, M., Bi, S., Broggi, M. & Beer, M., Sept 2021, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A Civil Engineering. 7, 3, 0001149.Research output: Contribution to journal › Article › Research › peer review
- Published
Bayesian model updating using stochastic distances as uncertainty quantification metrics
Bi, S., Broggi, M., Beer, M. & Zhang, Y., 2018, Proceedings of ISMA 2018: International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics. Moens, D., Desmet, W., Pluymers, B. & Rottiers, W. (eds.). p. 5157-5167 11 p. (Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- External
Bayesian Network Approach for Risk Assessment of a Spent Nuclear Fuel Pond
Tolo, S., Patelli, E. & Beer, M., 2014, Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014. Hall, J. W., Au, S.-K. & Beer, M. (eds.). American Society of Civil Engineers (ASCE), p. 598-607 10 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds
Dang, C., Wei, P., Faes, M. G. R. & Beer, M., 1 Oct 2022, In: Computers and Structures. 270, 106860.Research output: Contribution to journal › Article › Research › peer review
- Published
Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty
Wei, P., Liu, F., Valdebenito, M. & Beer, M., 15 Feb 2021, In: Mechanical Systems and Signal Processing. 149, 107219.Research output: Contribution to journal › Article › Research › peer review
- External
Bayesian quantification of inconsistent information
Stein, M. & Beer, M., 2011, Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. p. 463-470 8 p. (Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Bayesian reinforcement learning reliability analysis
Zhou, T., Guo, T., Dang, C. & Beer, M., 1 May 2024, In: Computer Methods in Applied Mechanics and Engineering. 424, 35 p., 116902.Research output: Contribution to journal › Article › Research › peer review
- External
Bayesian update with fuzzy information
Beer, M. & Stein, M., 2011, Transportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability. American Society of Mechanical Engineers(ASME), p. 821-829 9 p. (ASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011; vol. 9).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Bayesian updating of soil-water character curve parameters based on the monitor data of a large-scale landslide model experiment
Feng, C., Tian, B., Lu, X., Beer, M., Broggi, M., Bi, S., Xiong, B. & He, T., 10 Aug 2020, In: Applied Sciences (Switzerland). 10, 16, 5526.Research output: Contribution to journal › Article › Research › peer review
- Published
Bayesian updating with two-step parallel Bayesian optimization and quadrature
Kitahara, M., Dang, C. & Beer, M., 1 Jan 2023, In: Computer Methods in Applied Mechanics and Engineering. 403, 21 p., 115735.Research output: Contribution to journal › Article › Research › peer review
- Published
Bounding Failure Probabilities in Imprecise Stochastic FE models
Faes, M. G. R., Fina, M., Valdebenito, M. A., Lauff, C., Wagner, W., Freitag, S. & Beer, M., 2022, Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. Beer, M., Zio, E., Phoon, K.-K. & Ayyub, B. M. (eds.). p. 498-501 4 p. (Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022).Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Bounding the first excursion probability of linear structures subjected to imprecise stochastic loading
Faes, M. G. R., Valdebenito, M. A., Moens, D. & Beer, M., 15 Oct 2020, In: Computers & structures. 239, 106320.Research output: Contribution to journal › Article › Research › peer review
- Published
Bounds optimization of model response moments: a twin-engine Bayesian active learning method
Wei, P., Hong, F., Phoon, K. & Beer, M., May 2021, In: Computational Mechanics. 67, 5, p. 1273-1292 20 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Breaking the double loop: Operator norm theory as a tool to compute with imprecise probabilities
Faes, M. G. R., Valdebenito, M. A., Moens, D. & Beer, M., 2020, e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15): 01-05 November 2020, Venice, Italy. Baraldi, P., Di Maio, F. & Zio, E. (eds.). Singapore, p. 4957-4963 7 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Capturing Epistemic Uncertainties in the Power Spectral Density for Limited Data Sets
Behrendt, M., Faes, M. G. R., Valdebenito, M. A. & Beer, M., 2022, 16th International Probabilistic Safety Assessment and Management Conference 2022 (PSAM 16). 9 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
- Published
Classical and Bayesian estimation of stress-strength reliability of a component having multiple states
K C, S., Kumar, M. & Beer, M., 3 Feb 2021, In: International Journal of Quality and Reliability Management. 38, 2, p. 528-535 8 p.Research output: Contribution to journal › Article › Research › peer review
- Published
Classification of power spectra from data sets with high spectral variance for reliability analysis of dynamic structures
Behrendt, M., Kitahara, M., Kitahara, T., Comerford, L. & Beer, M., 2022, Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. Beer, M., Zio, E., Phoon, K.-K. & Ayyub, B. M. (eds.). p. 323-328 6 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- Published
Collaborative and Adaptive Bayesian Optimization for bounding variances and probabilities under hybrid uncertainties
Hong, F., Wei, P., Song, J., Valdebenito, M. A., Faes, M. G. R. & Beer, M., 1 Dec 2023, In: Computer Methods in Applied Mechanics and Engineering. 417, 116410.Research output: Contribution to journal › Article › Research › peer review
- Published
Combining data and physical models for probabilistic analysis: A Bayesian Augmented Space Learning perspective
Hong, F., Wei, P., Song, J., Faes, M. G. R., Valdebenito, M. A. & Beer, M., Jul 2023, In: Probabilistic Engineering Mechanics. 73, 103474.Research output: Contribution to journal › Article › Research › peer review