Michael Beer - Dissemin

Papers authored by Michael Beer

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2021 Xiukai Yuan, Shaolong Liu, Matthias Faes, Marcos A. Valdebenito, Michael Beer

An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load

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D. J. Jerez, H. A. Jensen, Michael Beer

, M. Broggi

Contaminant source identification in water distribution networks: A Bayesian framework

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Xiukai Yuan, Shaolong Liu, M. A. Valdebenito, Jian Gu, Michael Beer

Efficient procedure for failure probability function estimation in augmented space

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Masaru Kitahara, Sifeng Bi, Matteo Broggi, Michael Beer

Bayesian Model Updating in Time Domain with Metamodel-Based Reliability Method

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Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer

, Matteo Broggi

Failure probability estimation of a class of series systems by multidomain Line Sampling

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Meng-Yun Zhao, Wang-Ji Yan, Ka-Veng Yuen, Michael Beer

Non-probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model

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Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer

Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space

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Julian Salomon, Jan Göing, Sebastian Lück, Matteo Broggi, Jens Friedrichs, Michael Beer

Sensitivity Analysis of an Aircraft Engine Model Under Consideration of Dependent Variables

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Xiukai Yuan, Matthias G. R. Faes

, Shaolong Liu, Marcos A. Valdebenito, Michael Beer

Efficient imprecise reliability analysis using the Augmented Space Integral

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Wenqing Zhu, Yingbin Hu, Ning Chen, Jian Liu, Michael Beer

A fuzzy and random moment-based arbitrary polynomial chaos method for response analysis of composite structural–acoustic system with multi-scale uncertainties

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Chao Dang, Pengfei Wei, Michael Beer

An approach to evaluation of EVD and small failure probabilities of uncertain nonlinear structures under stochastic seismic excitations

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Matthias G. R. Faes, Marcos A. Valdebenito, David Moens, Michael Beer

Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities

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Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer

Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics

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Marcos A. Valdebenito, Héctor A. Jensen, Pengfei Wei, Michael Beer

, André T. Beck

Application of a Reduced Order Model for Fuzzy Analysis of Linear Static Systems

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Zitong Gong, Francisco Alejandro DiazDelaO, P. O. Hristov, Michael Beer

History Matching and Robust Design through Subset Simulation

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Pengfei Wei, Fangqi Hong, Kok-Kwang Phoon, Michael Beer

Bounds optimization of model response moments: a twin-engine Bayesian active learning method

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Yongtao Bai

, Yinsheng Li, Zhenyun Tang, Marius Bittner, Matteo Broggi, Michael Beer

Seismic collapse fragility of low-rise steel moment frames with mass irregularity based on shaking table test

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Matthias G. R. Faes, David Moens, Michael Beer

, Hao Zhang, Kok-Kwang Phoon

Special Section: Nonprobabilistic and Hybrid Approaches for Uncertainty Quantification and Reliability Analysis

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Z. Wan, J. Chen, Michael Beer

Functional perspective of uncertainty quantification for stochastic parametric systems and global sensitivity analysis

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Sifeng Bi, Michael Beer

, Jingrui Zhang, Lechang Yang, Kui He

Optimization Or Bayesian Strategy? Performance of the Bhattacharyya Distance in Different Algorithms of Stochastic Model Updating

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Papers authored by Michael Beer