Conditional reliability analysis in high dimensions based on controlled mixture importance sampling and information reuse

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2021.113826 ◽

2021 ◽

Vol 381 ◽

pp. 113826

Author(s):

Max Ehre ◽

Iason Papaioannou ◽

Karen E. Willcox ◽

Daniel Straub

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

High Dimensions ◽

Information Reuse

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Importance Sampling for Time-Variant Reliability Analysis

IEEE Access ◽

10.1109/access.2021.3054470 ◽

2021 ◽

Vol 9 ◽

pp. 20933-20941

Author(s):

Jian Wang ◽

Runan Cao ◽

Zhili Sun

Keyword(s):

Reliability Analysis ◽

Importance Sampling

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Approximate Importance Sampling Approach Based on DSmT in Structural Reliability Analysis

Design, Construction, Rehabilitation, and Maintenance of Bridges ◽

10.1061/47630(409)6 ◽

2011 ◽

Author(s):

Donghua Chen ◽

Bohai Ji

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Structural Reliability Analysis ◽

Sampling Approach

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Cross-entropy-based directional importance sampling with von Mises-Fisher mixture model for reliability analysis

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.108306 ◽

2021 ◽

pp. 108306

Author(s):

Xiaobo Zhang ◽

Zhenzhou Lu ◽

Kai Cheng

Keyword(s):

Reliability Analysis ◽

Mixture Model ◽

Importance Sampling ◽

Cross Entropy ◽

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An efficient hybrid reliability analysis method based on active learning Kriging model and multimodal‐optimization‐based importance sampling

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.6847 ◽

2021 ◽

Author(s):

Tai Wang ◽

Xufeng Yang ◽

Mi Caiying

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Importance Sampling ◽

Kriging Model ◽

Multimodal Optimization ◽

Analysis Method ◽

Hybrid Reliability

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Efficient reliability analysis coupling importance sampling using adaptive subset simulation and PGD model reduction

PAMM ◽

10.1002/pamm.201900169 ◽

2019 ◽

Vol 19 (1) ◽

Author(s):

Annika Robens-Radermacher ◽

Jörg F. Unger

Keyword(s):

Model Reduction ◽

Reliability Analysis ◽

Importance Sampling ◽

Subset Simulation

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Reliability analysis with stratified importance sampling based on adaptive Kriging

Reliability Engineering & System Safety ◽

10.1016/j.ress.2020.106852 ◽

2020 ◽

Vol 197 ◽

pp. 106852 ◽

Author(s):

Sinan Xiao ◽

Sergey Oladyshkin ◽

Wolfgang Nowak

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Adaptive Kriging

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An active learning Kriging model combined with directional importance sampling method for efficient reliability analysis

Probabilistic Engineering Mechanics ◽

10.1016/j.probengmech.2020.103054 ◽

2020 ◽

Vol 60 ◽

pp. 103054 ◽

Author(s):

Qing Guo ◽

Yongshou Liu ◽

Bingqian Chen ◽

Yuzhen Zhao

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Importance Sampling ◽

Sampling Method ◽

Kriging Model ◽

Importance Sampling Method

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Extended Importance Sampling for Reliability Analysis under Evidence Theory

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/359/1/012053 ◽

2018 ◽

Vol 359 ◽

pp. 012053

Author(s):

X K Yuan ◽

B Chen ◽

B Q Zhang

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Evidence Theory

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A new maximum entropy-based importance sampling for reliability analysis

Structural Safety ◽

10.1016/j.strusafe.2016.08.001 ◽

2016 ◽

Vol 63 ◽

pp. 71-80 ◽

Author(s):

Hongzhe Dai ◽

Hao Zhang ◽

Wei Wang

Keyword(s):

Reliability Analysis ◽

Maximum Entropy ◽

Importance Sampling

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An Importance Sampling Based Approach for Reliability Analysis

2007 IEEE International Conference on Automation Science and Engineering ◽

10.1109/coase.2007.4341815 ◽

2007 ◽

Author(s):

Fan Li ◽

Teresa Wu

Keyword(s):

Reliability Analysis ◽

Importance Sampling

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