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A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy
We developed an innovative material nonlinear viscoelastic model with physical mechanism and mathematical solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010732/ https://www.ncbi.nlm.nih.gov/pubmed/32041966 http://dx.doi.org/10.1038/s41598-020-58240-y |
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author | Xu, Qinwu Engquist, Björn Solaimanian, Mansour Yan, Kezhen |
author_facet | Xu, Qinwu Engquist, Björn Solaimanian, Mansour Yan, Kezhen |
author_sort | Xu, Qinwu |
collection | PubMed |
description | We developed an innovative material nonlinear viscoelastic model with physical mechanism and mathematical solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinear strain hardening. Experimental results of differential solid materials including asphalt concrete, agarose gel, vaginal tissue, polymer, agar, bone, spider silk, and hydrogel demonstrate that the developed model is superior to generalized Maxwell model or Prony series for more accurate prediction outside of the range for data fitting while using much less model parameters. Numerical simulation results indicate that the new model has improved accuracy. It is stable numerically, and does not reduce computation speed. Therefore, the model may be used to simulate a broad range of viscoelastic solids for predicting experimental data and responses with improved accuracy. |
format | Online Article Text |
id | pubmed-7010732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70107322020-02-21 A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy Xu, Qinwu Engquist, Björn Solaimanian, Mansour Yan, Kezhen Sci Rep Article We developed an innovative material nonlinear viscoelastic model with physical mechanism and mathematical solution to improve existing ones. The relaxation modulus transits from the glassy stage to the rubbery stage through a time-dependent viscosity in a continuous spectrum considering the nonlinear strain hardening. Experimental results of differential solid materials including asphalt concrete, agarose gel, vaginal tissue, polymer, agar, bone, spider silk, and hydrogel demonstrate that the developed model is superior to generalized Maxwell model or Prony series for more accurate prediction outside of the range for data fitting while using much less model parameters. Numerical simulation results indicate that the new model has improved accuracy. It is stable numerically, and does not reduce computation speed. Therefore, the model may be used to simulate a broad range of viscoelastic solids for predicting experimental data and responses with improved accuracy. Nature Publishing Group UK 2020-02-10 /pmc/articles/PMC7010732/ /pubmed/32041966 http://dx.doi.org/10.1038/s41598-020-58240-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Xu, Qinwu Engquist, Björn Solaimanian, Mansour Yan, Kezhen A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
title | A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
title_full | A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
title_fullStr | A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
title_full_unstemmed | A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
title_short | A new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
title_sort | new nonlinear viscoelastic model and mathematical solution of solids for improving prediction accuracy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010732/ https://www.ncbi.nlm.nih.gov/pubmed/32041966 http://dx.doi.org/10.1038/s41598-020-58240-y |
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