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Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation

Purpose – Advanced computational methods help to solve complex engineering problems via finite-element simulation. However, uncertainties during the process occurred due to the nature of geometry, material properties, loading, and boundary conditions. These inaccuracies affect the accuracy of result...

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主要な著者: Mohamad Syazwan Zafwan, Mohamad Suffian, Syahiir, Kamil, Ahmad Kamal, Ariffin
フォーマット: 論文
言語:English
出版事項: Emerald Publishing 2022
主題:
TJ Mechanical engineering and machinery
オンライン･アクセス:http://ir.unimas.my/id/eprint/41011/1/Uncertainty%20analysis.pdf
http://ir.unimas.my/id/eprint/41011/
https://www.emerald.com/insight/content/doi/10.1108/IJSI-02-2022-0020/full/html
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id my.unimas.ir.41011
record_format eprints
spelling my.unimas.ir.410112022-12-27T03:50:06Z http://ir.unimas.my/id/eprint/41011/ Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation Mohamad Syazwan Zafwan, Mohamad Suffian Syahiir, Kamil Ahmad Kamal, Ariffin TJ Mechanical engineering and machinery Purpose – Advanced computational methods help to solve complex engineering problems via finite-element simulation. However, uncertainties during the process occurred due to the nature of geometry, material properties, loading, and boundary conditions. These inaccuracies affect the accuracy of results obtained from the analysis. This paper aims to analyse the uncertainty parameters of a finite element model in Excel-Visual Basic Application (VBA) by applying a random simulation method. Design/methodology/approach – This study focuses on a finite element model with a different mesh. Young’s Modulus, E, Poisson’s ratio, and load, L are the uncertainty input parameters considered random variables. Findings – Results obtained proved that the finite element model with the most nodes and elements has better solution convergence. Originality/value – Random simulation method is a tool to perform uncertainty analysis of a finite element model. Emerald Publishing 2022 Article PeerReviewed text en http://ir.unimas.my/id/eprint/41011/1/Uncertainty%20analysis.pdf Mohamad Syazwan Zafwan, Mohamad Suffian and Syahiir, Kamil and Ahmad Kamal, Ariffin (2022) Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation. International Journal of Structural Integrity, 13 (6). pp. 907-921. ISSN 1757-9864 https://www.emerald.com/insight/content/doi/10.1108/IJSI-02-2022-0020/full/html DOI 10.1108/IJSI-02-2022-0020
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohamad Syazwan Zafwan, Mohamad Suffian
Syahiir, Kamil
Ahmad Kamal, Ariffin
Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation
description Purpose – Advanced computational methods help to solve complex engineering problems via finite-element simulation. However, uncertainties during the process occurred due to the nature of geometry, material properties, loading, and boundary conditions. These inaccuracies affect the accuracy of results obtained from the analysis. This paper aims to analyse the uncertainty parameters of a finite element model in Excel-Visual Basic Application (VBA) by applying a random simulation method. Design/methodology/approach – This study focuses on a finite element model with a different mesh. Young’s Modulus, E, Poisson’s ratio, and load, L are the uncertainty input parameters considered random variables. Findings – Results obtained proved that the finite element model with the most nodes and elements has better solution convergence. Originality/value – Random simulation method is a tool to perform uncertainty analysis of a finite element model.
format Article
author Mohamad Syazwan Zafwan, Mohamad Suffian
Syahiir, Kamil
Ahmad Kamal, Ariffin
author_facet Mohamad Syazwan Zafwan, Mohamad Suffian
Syahiir, Kamil
Ahmad Kamal, Ariffin
author_sort Mohamad Syazwan Zafwan, Mohamad Suffian
title Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation
title_short Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation
title_full Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation
title_fullStr Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation
title_full_unstemmed Uncertainty analysis of varied meshes of a finite element model using Monte Carlo simulation
title_sort uncertainty analysis of varied meshes of a finite element model using monte carlo simulation
publisher Emerald Publishing
publishDate 2022
url http://ir.unimas.my/id/eprint/41011/1/Uncertainty%20analysis.pdf
http://ir.unimas.my/id/eprint/41011/
https://www.emerald.com/insight/content/doi/10.1108/IJSI-02-2022-0020/full/html
_version_ 1753792667457683456
score 13.251813

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