Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model
Structural reliability analysis is usually realized based on a multivariate performance function that depicts failure mechanisms of a structural system. The intensively computational cost of the brutal-force Monte-Carlo simulation motivates proposing a Gegenbauer polynomial-based surrogate model for...
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Hindawi Limited
2021
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oai:doaj.org-article:a55db1a3efd143439689239402f4f65e2021-11-08T02:36:59ZStructural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model1563-514710.1155/2021/8575107https://doaj.org/article/a55db1a3efd143439689239402f4f65e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8575107https://doaj.org/toc/1563-5147Structural reliability analysis is usually realized based on a multivariate performance function that depicts failure mechanisms of a structural system. The intensively computational cost of the brutal-force Monte-Carlo simulation motivates proposing a Gegenbauer polynomial-based surrogate model for effective structural reliability analysis in this paper. By utilizing the orthogonal matching pursuit algorithm to detect significant explanatory variables at first, a small number of samples are used to determine a reliable approximation result of the structural performance function. Several numerical examples in the literature are presented to demonstrate potential applications of the Gegenbauer polynomial-based sparse surrogate model. Accurate results have justified the effectiveness of the proposed approach in dealing with various structural reliability problems.Yixuan DongShijie WangHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021) |
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Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 |
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Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Yixuan Dong Shijie Wang Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model |
description |
Structural reliability analysis is usually realized based on a multivariate performance function that depicts failure mechanisms of a structural system. The intensively computational cost of the brutal-force Monte-Carlo simulation motivates proposing a Gegenbauer polynomial-based surrogate model for effective structural reliability analysis in this paper. By utilizing the orthogonal matching pursuit algorithm to detect significant explanatory variables at first, a small number of samples are used to determine a reliable approximation result of the structural performance function. Several numerical examples in the literature are presented to demonstrate potential applications of the Gegenbauer polynomial-based sparse surrogate model. Accurate results have justified the effectiveness of the proposed approach in dealing with various structural reliability problems. |
format |
article |
author |
Yixuan Dong Shijie Wang |
author_facet |
Yixuan Dong Shijie Wang |
author_sort |
Yixuan Dong |
title |
Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model |
title_short |
Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model |
title_full |
Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model |
title_fullStr |
Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model |
title_full_unstemmed |
Structural Reliability Analysis via the Multivariate Gegenbauer Polynomial-Based Sparse Surrogate Model |
title_sort |
structural reliability analysis via the multivariate gegenbauer polynomial-based sparse surrogate model |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/a55db1a3efd143439689239402f4f65e |
work_keys_str_mv |
AT yixuandong structuralreliabilityanalysisviathemultivariategegenbauerpolynomialbasedsparsesurrogatemodel AT shijiewang structuralreliabilityanalysisviathemultivariategegenbauerpolynomialbasedsparsesurrogatemodel |
_version_ |
1718443124396654592 |