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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Autores principales: Yixuan Dong, Shijie Wang
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/a55db1a3efd143439689239402f4f65e
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle 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
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