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Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model

This study is to assess the effect of temperature and strain rate on the mechanical properties of amorphous polyethylene (PE) based on fully atomistic model. A stochastic constitutive model using data obtained from molecular dynamics (MD) simulations for the material is constructed. Subsequently, a...

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Detalles Bibliográficos
Autores principales: Vu-Bac, Nam, Zhuang, X., Rabczuk, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862252/
https://www.ncbi.nlm.nih.gov/pubmed/31689882
http://dx.doi.org/10.3390/ma12213613
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author Vu-Bac, Nam
Zhuang, X.
Rabczuk, T.
author_facet Vu-Bac, Nam
Zhuang, X.
Rabczuk, T.
author_sort Vu-Bac, Nam
collection PubMed
description This study is to assess the effect of temperature and strain rate on the mechanical properties of amorphous polyethylene (PE) based on fully atomistic model. A stochastic constitutive model using data obtained from molecular dynamics (MD) simulations for the material is constructed. Subsequently, a global sensitivity analysis approach is then employed to predict the essential parameters of the mechanical model. The sensitivity indices show that the key parameter affecting Young’s modulus and yield stress is the temperature followed by the strain rate.
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spelling pubmed-68622522019-12-05 Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model Vu-Bac, Nam Zhuang, X. Rabczuk, T. Materials (Basel) Article This study is to assess the effect of temperature and strain rate on the mechanical properties of amorphous polyethylene (PE) based on fully atomistic model. A stochastic constitutive model using data obtained from molecular dynamics (MD) simulations for the material is constructed. Subsequently, a global sensitivity analysis approach is then employed to predict the essential parameters of the mechanical model. The sensitivity indices show that the key parameter affecting Young’s modulus and yield stress is the temperature followed by the strain rate. MDPI 2019-11-04 /pmc/articles/PMC6862252/ /pubmed/31689882 http://dx.doi.org/10.3390/ma12213613 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
Vu-Bac, Nam
Zhuang, X.
Rabczuk, T.
Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
title Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
title_full Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
title_fullStr Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
title_full_unstemmed Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
title_short Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
title_sort uncertainty quantification for mechanical properties of polyethylene based on fully atomistic model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862252/
https://www.ncbi.nlm.nih.gov/pubmed/31689882
http://dx.doi.org/10.3390/ma12213613
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AT rabczukt uncertaintyquantificationformechanicalpropertiesofpolyethylenebasedonfullyatomisticmodel