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Inverse Parameter Identification for Hyperelastic Model of a Polyurea
An inverse procedure was proposed to identify the material parameters of polyurea materials. In this procedure, a polynomial hyperelastic model was chosen as the constitutive model. Both uniaxial tension and compression tests were performed for a polyurea. An iterative inverse method was presented t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309456/ https://www.ncbi.nlm.nih.gov/pubmed/34301009 http://dx.doi.org/10.3390/polym13142253 |
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author | Xiao, Yihua Tang, Ziqiang Hong, Xiangfu |
author_facet | Xiao, Yihua Tang, Ziqiang Hong, Xiangfu |
author_sort | Xiao, Yihua |
collection | PubMed |
description | An inverse procedure was proposed to identify the material parameters of polyurea materials. In this procedure, a polynomial hyperelastic model was chosen as the constitutive model. Both uniaxial tension and compression tests were performed for a polyurea. An iterative inverse method was presented to identify parameters for the tensile performance of the polyurea. This method adjusts parameters iteratively to achieve a good agreement between tensile forces from the tension test and its finite element (FE) model. A response surface-based inverse method was presented to identify parameters for the compression performance of the polyurea. This method constructs a radial basis function (RBF)-based response surface model for the error between compressive forces from the compression test and its FE model, and it employs the genetic algorithm to minimize the error. With the use of the two inverse methods, two sets of parameters were obtained. Then, a complete identified uniaxial stress–strain curve for both tensile and compressive deformations was obtained with the two sets of parameters. Fitting this curve with the constitutive equation gave the final material parameters. The present inverse procedure can simplify experimental configurations and consider effects of friction in compression tests. Moreover, it produces material parameters that can appropriately characterize both tensile and compressive behaviors of the polyurea. |
format | Online Article Text |
id | pubmed-8309456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83094562021-07-25 Inverse Parameter Identification for Hyperelastic Model of a Polyurea Xiao, Yihua Tang, Ziqiang Hong, Xiangfu Polymers (Basel) Article An inverse procedure was proposed to identify the material parameters of polyurea materials. In this procedure, a polynomial hyperelastic model was chosen as the constitutive model. Both uniaxial tension and compression tests were performed for a polyurea. An iterative inverse method was presented to identify parameters for the tensile performance of the polyurea. This method adjusts parameters iteratively to achieve a good agreement between tensile forces from the tension test and its finite element (FE) model. A response surface-based inverse method was presented to identify parameters for the compression performance of the polyurea. This method constructs a radial basis function (RBF)-based response surface model for the error between compressive forces from the compression test and its FE model, and it employs the genetic algorithm to minimize the error. With the use of the two inverse methods, two sets of parameters were obtained. Then, a complete identified uniaxial stress–strain curve for both tensile and compressive deformations was obtained with the two sets of parameters. Fitting this curve with the constitutive equation gave the final material parameters. The present inverse procedure can simplify experimental configurations and consider effects of friction in compression tests. Moreover, it produces material parameters that can appropriately characterize both tensile and compressive behaviors of the polyurea. MDPI 2021-07-09 /pmc/articles/PMC8309456/ /pubmed/34301009 http://dx.doi.org/10.3390/polym13142253 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xiao, Yihua Tang, Ziqiang Hong, Xiangfu Inverse Parameter Identification for Hyperelastic Model of a Polyurea |
title | Inverse Parameter Identification for Hyperelastic Model of a Polyurea |
title_full | Inverse Parameter Identification for Hyperelastic Model of a Polyurea |
title_fullStr | Inverse Parameter Identification for Hyperelastic Model of a Polyurea |
title_full_unstemmed | Inverse Parameter Identification for Hyperelastic Model of a Polyurea |
title_short | Inverse Parameter Identification for Hyperelastic Model of a Polyurea |
title_sort | inverse parameter identification for hyperelastic model of a polyurea |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309456/ https://www.ncbi.nlm.nih.gov/pubmed/34301009 http://dx.doi.org/10.3390/polym13142253 |
work_keys_str_mv | AT xiaoyihua inverseparameteridentificationforhyperelasticmodelofapolyurea AT tangziqiang inverseparameteridentificationforhyperelasticmodelofapolyurea AT hongxiangfu inverseparameteridentificationforhyperelasticmodelofapolyurea |