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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A hybrid algorithm for reliability analysis combining Kriging and subset simulation importance sampling

Journal of Mechanical Science and Technology ◽

10.1007/s12206-015-0717-6 ◽

2015 ◽

Vol 29 (8) ◽

pp. 3183-3193 ◽

Author(s):

Cao Tong ◽

Zhili Sun ◽

Qianli Zhao ◽

Qibin Wang ◽

Shuang Wang

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Hybrid Algorithm ◽

Subset Simulation

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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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A coupled subset simulation and active learning kriging reliability analysis method for rare failure events

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-019-02326-3 ◽

2019 ◽

Vol 60 (6) ◽

pp. 2325-2341 ◽

Author(s):

Chunyan Ling ◽

Zhenzhou Lu ◽

Kaixuan Feng ◽

Xiaobo Zhang

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Analysis Method ◽

Subset Simulation

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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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Long-term extreme response analysis of offshore structures by combining importance sampling with subset simulation

Structural Safety ◽

10.1016/j.strusafe.2017.08.001 ◽

2017 ◽

Vol 69 ◽

pp. 79-95 ◽

Author(s):

Ying Min Low ◽

Xiaoxu Huang

Keyword(s):

Importance Sampling ◽

Offshore Structures ◽

Response Analysis ◽

Subset Simulation ◽

Extreme Response

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Reliability analysis of discrete multi-state systems by means of subset simulation

Safety, Reliability and Risk Analysis ◽

10.1201/9781482266481-105 ◽

2008 ◽

pp. 747-762

Keyword(s):

Reliability Analysis ◽

Subset Simulation

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Hamiltonian Monte Carlo methods for Subset Simulation in reliability analysis

Structural Safety ◽

10.1016/j.strusafe.2018.05.005 ◽

2019 ◽

Vol 76 ◽

pp. 51-67 ◽

Author(s):

Ziqi Wang ◽

Marco Broccardo ◽

Junho Song

Keyword(s):

Monte Carlo ◽

Reliability Analysis ◽

Monte Carlo Methods ◽

Subset Simulation ◽

Hamiltonian Monte Carlo

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Global Reliability Analysis of RC Frame Structures under Earthquakes using Subset Simulation

Proceedings of the 6th International Symposium on Reliability Engineering and Risk Management ◽

10.3850/978-981-11-2726-7_cgen13 ◽

2018 ◽

Author(s):

Zi Zhang ◽

Da-Gang Lu

Keyword(s):

Reliability Analysis ◽

Frame Structures ◽

Rc Frame ◽

Subset Simulation ◽

Rc Frame Structures

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