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Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials
This study is devoted to the modeling and simulation of uncertainties in the constitutive elastic properties of material constituting a circular column under axial compression. To this aim, a probabilistic model dedicated to the construction of positive-definite random elasticity matrices was first...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600995/ https://www.ncbi.nlm.nih.gov/pubmed/31195729 http://dx.doi.org/10.3390/ma12111828 |
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author | Ly, Hai-Bang Desceliers, Christophe Minh Le, Lu Le, Tien-Thinh Thai Pham, Binh Nguyen-Ngoc, Long Doan, Van Thuan Le, Minh |
author_facet | Ly, Hai-Bang Desceliers, Christophe Minh Le, Lu Le, Tien-Thinh Thai Pham, Binh Nguyen-Ngoc, Long Doan, Van Thuan Le, Minh |
author_sort | Ly, Hai-Bang |
collection | PubMed |
description | This study is devoted to the modeling and simulation of uncertainties in the constitutive elastic properties of material constituting a circular column under axial compression. To this aim, a probabilistic model dedicated to the construction of positive-definite random elasticity matrices was first used, involving two stochastic parameters: the mean value and a dispersion parameter. In order to compute the nonlinear effects between load and lateral deflection for the buckling problem of the column, a finite element framework combining a Newton-Raphson solver was developed. The finite element tool was validated by comparing the as-obtained critical buckling loads with those from Euler’s formula at zero-fluctuation of the elasticity matrix. Three levels of fluctuations of material uncertainties were then propagated through the validated finite element tool using the probabilistic method as a stochastic solver. Results showed that uncertain material properties considerably influenced the buckling behavior of columns under axial loading. The coefficient of variation of a critical buckling load over 500 realizations were 15.477%, 26.713% and 41.555% when applying dispersion parameters of 0.3, 0.5 and 0.7, respectively. The 95% confidence intervals of column buckling response were finally given. The methodology of modeling presented in this paper is a potential candidate for accounting material uncertainties with some instabilities of structural elements under compression. |
format | Online Article Text |
id | pubmed-6600995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66009952019-07-18 Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials Ly, Hai-Bang Desceliers, Christophe Minh Le, Lu Le, Tien-Thinh Thai Pham, Binh Nguyen-Ngoc, Long Doan, Van Thuan Le, Minh Materials (Basel) Article This study is devoted to the modeling and simulation of uncertainties in the constitutive elastic properties of material constituting a circular column under axial compression. To this aim, a probabilistic model dedicated to the construction of positive-definite random elasticity matrices was first used, involving two stochastic parameters: the mean value and a dispersion parameter. In order to compute the nonlinear effects between load and lateral deflection for the buckling problem of the column, a finite element framework combining a Newton-Raphson solver was developed. The finite element tool was validated by comparing the as-obtained critical buckling loads with those from Euler’s formula at zero-fluctuation of the elasticity matrix. Three levels of fluctuations of material uncertainties were then propagated through the validated finite element tool using the probabilistic method as a stochastic solver. Results showed that uncertain material properties considerably influenced the buckling behavior of columns under axial loading. The coefficient of variation of a critical buckling load over 500 realizations were 15.477%, 26.713% and 41.555% when applying dispersion parameters of 0.3, 0.5 and 0.7, respectively. The 95% confidence intervals of column buckling response were finally given. The methodology of modeling presented in this paper is a potential candidate for accounting material uncertainties with some instabilities of structural elements under compression. MDPI 2019-06-05 /pmc/articles/PMC6600995/ /pubmed/31195729 http://dx.doi.org/10.3390/ma12111828 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ly, Hai-Bang Desceliers, Christophe Minh Le, Lu Le, Tien-Thinh Thai Pham, Binh Nguyen-Ngoc, Long Doan, Van Thuan Le, Minh Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials |
title | Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials |
title_full | Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials |
title_fullStr | Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials |
title_full_unstemmed | Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials |
title_short | Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials |
title_sort | quantification of uncertainties on the critical buckling load of columns under axial compression with uncertain random materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600995/ https://www.ncbi.nlm.nih.gov/pubmed/31195729 http://dx.doi.org/10.3390/ma12111828 |
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