Stochastic simulation based reliability analysis with multiple performance objective functions
In this paper, we propose a stochastic simulation approach to estimate the failure probability of multiple performance objectives as a function of various combinations of thresholds, each threshold corresponding to one performance objective. The proposed approach is robust with respect to the dimens...
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sg-ntu-dr.10356-793892019-12-06T13:24:09Z Stochastic simulation based reliability analysis with multiple performance objective functions Bansal, Sahil Cheung, Sai Hung School of Civil and Environmental Engineering 4th International Symposium on Reliability Engineering and Risk Management DRNTU::Engineering::Civil engineering In this paper, we propose a stochastic simulation approach to estimate the failure probability of multiple performance objectives as a function of various combinations of thresholds, each threshold corresponding to one performance objective. The proposed approach is robust with respect to the dimension of the failure probability integral, model complexity and nonlinearity. The effectiveness and efficiency of the proposed method are illustrated by a numerical example involving a structural dynamic system subjected to future earthquake excitations modeled as a stochastic process and the results are compared to those obtained using crude Monte Carlo simulation. Accepted version 2015-05-15T05:58:44Z 2019-12-06T13:24:09Z 2015-05-15T05:58:44Z 2019-12-06T13:24:09Z 2014 2014 Conference Paper Bansal, S., & Cheung, S. H. (2014). Stochastic Simulation Based Reliability Analysis with Multiple Performance Objective Functions. Proceedings of 4th International Symposium on Reliability Engineering and Risk Management, 123-126. https://hdl.handle.net/10356/79389 http://hdl.handle.net/10220/25555 http://www.isrerm2014.ntust.edu.tw/21-201.html en © 2014 ISRERM. This is the author created version of a work that has been peer reviewed and accepted for publication by 4th International Symposium on Reliability Engineering and Risk Management, ISRERM. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The URL available at: [http://www.isrerm2014.ntust.edu.tw/21-201.html]. application/pdf |
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DRNTU::Engineering::Civil engineering Bansal, Sahil Cheung, Sai Hung Stochastic simulation based reliability analysis with multiple performance objective functions |
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In this paper, we propose a stochastic simulation approach to estimate the failure probability of multiple performance objectives as a function of various combinations of thresholds, each threshold corresponding to one performance objective. The proposed approach is robust with respect to the dimension of the failure probability integral, model complexity and nonlinearity. The effectiveness and efficiency of the proposed method are illustrated by a numerical example involving a structural dynamic system subjected to future earthquake excitations modeled as a stochastic process and the results are compared to those obtained using crude Monte Carlo simulation. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Bansal, Sahil Cheung, Sai Hung |
format |
Conference or Workshop Item |
author |
Bansal, Sahil Cheung, Sai Hung |
author_sort |
Bansal, Sahil |
title |
Stochastic simulation based reliability analysis with multiple performance objective functions |
title_short |
Stochastic simulation based reliability analysis with multiple performance objective functions |
title_full |
Stochastic simulation based reliability analysis with multiple performance objective functions |
title_fullStr |
Stochastic simulation based reliability analysis with multiple performance objective functions |
title_full_unstemmed |
Stochastic simulation based reliability analysis with multiple performance objective functions |
title_sort |
stochastic simulation based reliability analysis with multiple performance objective functions |
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2015 |
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https://hdl.handle.net/10356/79389 http://hdl.handle.net/10220/25555 http://www.isrerm2014.ntust.edu.tw/21-201.html |
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1681038947620225024 |