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Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

Authors :
Hai-Bang Ly
Christophe Desceliers
Lu Minh Le
Tien-Thinh Le
Binh Thai Pham
Long Nguyen-Ngoc
Van Thuan Doan
Minh Le
Source :
Materials, Vol 12, Iss 11, p 1828 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

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.

Details

Language :
English
ISSN :
19961944
Volume :
12
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.484838d6803e421a986e3b2300547e2a
Document Type :
article
Full Text :
https://doi.org/10.3390/ma12111828