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Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation

Meniscal tears are a common, painful, and debilitating knee injury with limited treatment options. Computational models that predict meniscal tears may help advance injury prevention and repair, but first these models must be validated using experimental data. Here we simulated meniscal tears with f...

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Autores principales: Nesbitt, Derek Q., Burruel, Dylan E., Henderson, Bradley S., Lujan, Trevor J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006193/
https://www.ncbi.nlm.nih.gov/pubmed/36899069
http://dx.doi.org/10.1038/s41598-023-29111-z
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author Nesbitt, Derek Q.
Burruel, Dylan E.
Henderson, Bradley S.
Lujan, Trevor J.
author_facet Nesbitt, Derek Q.
Burruel, Dylan E.
Henderson, Bradley S.
Lujan, Trevor J.
author_sort Nesbitt, Derek Q.
collection PubMed
description Meniscal tears are a common, painful, and debilitating knee injury with limited treatment options. Computational models that predict meniscal tears may help advance injury prevention and repair, but first these models must be validated using experimental data. Here we simulated meniscal tears with finite element analysis using continuum damage mechanics (CDM) in a transversely isotropic hyperelastic material. Finite element models were built to recreate the coupon geometry and loading conditions of forty uniaxial tensile experiments of human meniscus that were pulled to failure either parallel or perpendicular to the preferred fiber orientation. Two damage criteria were evaluated for all experiments: von Mises stress and maximum normal Lagrange strain. After we successfully fit all models to experimental force–displacement curves (grip-to-grip), we compared model predicted strains in the tear region at ultimate tensile strength to the strains measured experimentally with digital image correlation (DIC). In general, the damage models underpredicted the strains measured in the tear region, but models using von Mises stress damage criterion had better overall predictions and more accurately simulated experimental tear patterns. For the first time, this study has used DIC to expose strengths and weaknesses of using CDM to model failure behavior in soft fibrous tissue.
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spelling pubmed-100061932023-03-12 Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation Nesbitt, Derek Q. Burruel, Dylan E. Henderson, Bradley S. Lujan, Trevor J. Sci Rep Article Meniscal tears are a common, painful, and debilitating knee injury with limited treatment options. Computational models that predict meniscal tears may help advance injury prevention and repair, but first these models must be validated using experimental data. Here we simulated meniscal tears with finite element analysis using continuum damage mechanics (CDM) in a transversely isotropic hyperelastic material. Finite element models were built to recreate the coupon geometry and loading conditions of forty uniaxial tensile experiments of human meniscus that were pulled to failure either parallel or perpendicular to the preferred fiber orientation. Two damage criteria were evaluated for all experiments: von Mises stress and maximum normal Lagrange strain. After we successfully fit all models to experimental force–displacement curves (grip-to-grip), we compared model predicted strains in the tear region at ultimate tensile strength to the strains measured experimentally with digital image correlation (DIC). In general, the damage models underpredicted the strains measured in the tear region, but models using von Mises stress damage criterion had better overall predictions and more accurately simulated experimental tear patterns. For the first time, this study has used DIC to expose strengths and weaknesses of using CDM to model failure behavior in soft fibrous tissue. Nature Publishing Group UK 2023-03-10 /pmc/articles/PMC10006193/ /pubmed/36899069 http://dx.doi.org/10.1038/s41598-023-29111-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nesbitt, Derek Q.
Burruel, Dylan E.
Henderson, Bradley S.
Lujan, Trevor J.
Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
title Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
title_full Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
title_fullStr Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
title_full_unstemmed Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
title_short Finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
title_sort finite element modeling of meniscal tears using continuum damage mechanics and digital image correlation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006193/
https://www.ncbi.nlm.nih.gov/pubmed/36899069
http://dx.doi.org/10.1038/s41598-023-29111-z
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