Michael Beer - Dissemin

All papers authored by Michael Beer

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2024 De-Cheng Feng, Jia-Yi Ding, Si-Cong Xie, Yue Li, Mitsuyoshi Akiyama

, Yong Lu

, Michael Beer

, Jie Li

Climate Change Impacts on the Risk Assessment of Concrete Civil Infrastructures

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Jasper Behrensdorf

, Matteo Broggi

, Michael Beer

Interval Predictor Model for the Survival Signature Using Monotone Radial Basis Functions

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Kang Liao

, Yiping Wu, Fasheng Miao, Yutao Pan, Michael Beer

Quantitative Risk Assessment of Seismically Loaded Slopes in Spatially Variable Soils with Depth-Dependent Strength

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Jan Grashorn

, Matteo Broggi

, Ludovic Chamoin, Michael Beer

Efficiency comparison of MCMC and Transport Map Bayesian posterior estimation for structural health monitoring

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Cao Wang

, Michael Beer

, Matthias G. R. Faes

, De-Cheng Feng

Resilience Assessment under Imprecise Probability

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Yu Zhang

, You Dong

, Michael Beer

rLSTM-AE for dimension reduction and its application to active learning-based dynamic reliability analysis

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Chao Dang

, Marcos A. Valdebenito

, Pengfei Wei

, Jingwen Song, Michael Beer

Bayesian active learning line sampling with log-normal process for rare-event probability estimation

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Chen Ding

, Chao Dang

, Matteo Broggi

, Michael Beer

Estimation of Response Expectation Bounds under Parametric P-Boxes by Combining Bayesian Global Optimization with Unscented Transform

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Chao Dang

, Michael Beer

Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities

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Youbao Jiang, Xuyang Zhang

, Michael Beer

, Hao Zhou

, Yu Leng

An efficient method for reliability-based design optimization of structures under random excitation by mapping between reliability and operator norm

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Tong Zhou, Tong Guo, Chao Dang

, Michael Beer

Bayesian reinforcement learning reliability analysis

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Fangqi Hong

, Pengfei Wei

, Michael Beer

Parallelization of adaptive Bayesian cubature using multimodal optimization algorithms

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Ruohan Wang

, Shaofan Li

, Yong Liu, Xuan Hu, Xin Lai

, Michael Beer

Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty

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Fangqi Hong, Pengfei Wei

, Jiangfeng Fu, Michael Beer

A sequential sampling-based Bayesian numerical method for reliability-based design optimization

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Jichao Zhuang

, Minping Jia, Cheng-Geng Huang, Michael Beer

, Ke Feng

Health prognosis of bearings based on transferable autoregressive recurrent adaptation with few-shot learning

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Marius Bittner

, Marco Behrendt

, Michael Beer

Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals

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This paper is made freely available by the publisher.

Chengxin Feng

, Marcos A. Valdebenito

, Marcin Chwała

, Kang Liao, Matteo Broggi

, Michael Beer

Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments

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Zhi-Wei Wang

, Xiao-Fan Lu, Wen-Ming Zhang, Vasileios C. Fragkoulis

, Yu-Feng Zhang, Michael Beer

Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring

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Chao Dang

, Alice Cicirello, Marcos A. Valdebenito, Matthias G. R. Faes, Pengfei Wei, Michael Beer

Structural reliability analysis with extremely small failure probabilities: A quasi-Bayesian active learning method

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Lei Wang, Zhuo Hu, Chao Dang

, Michael Beer

Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities

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All papers authored by Michael Beer