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The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania
The reliability of finite element analysis (FEA) in biomechanical investigations depends upon understanding the influence of model assumptions. In producing finite element models, surface mesh resolution is influenced by the resolution of input geometry, and influences the resolution of the ensuing...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458129/ https://www.ncbi.nlm.nih.gov/pubmed/26056620 http://dx.doi.org/10.7717/peerj.988 |
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author | McCurry, Matthew R. Evans, Alistair R. McHenry, Colin R. |
author_facet | McCurry, Matthew R. Evans, Alistair R. McHenry, Colin R. |
author_sort | McCurry, Matthew R. |
collection | PubMed |
description | The reliability of finite element analysis (FEA) in biomechanical investigations depends upon understanding the influence of model assumptions. In producing finite element models, surface mesh resolution is influenced by the resolution of input geometry, and influences the resolution of the ensuing solid mesh used for numerical analysis. Despite a large number of studies incorporating sensitivity studies of the effects of solid mesh resolution there has not yet been any investigation into the effect of surface mesh resolution upon results in a comparative context. Here we use a dataset of crocodile crania to examine the effects of surface resolution on FEA results in a comparative context. Seven high-resolution surface meshes were each down-sampled to varying degrees while keeping the resulting number of solid elements constant. These models were then subjected to bite and shake load cases using finite element analysis. The results show that incremental decreases in surface resolution can result in fluctuations in strain magnitudes, but that it is possible to obtain stable results using lower resolution surface in a comparative FEA study. As surface mesh resolution links input geometry with the resulting solid mesh, the implication of these results is that low resolution input geometry and solid meshes may provide valid results in a comparative context. |
format | Online Article Text |
id | pubmed-4458129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44581292015-06-08 The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania McCurry, Matthew R. Evans, Alistair R. McHenry, Colin R. PeerJ Computational Biology The reliability of finite element analysis (FEA) in biomechanical investigations depends upon understanding the influence of model assumptions. In producing finite element models, surface mesh resolution is influenced by the resolution of input geometry, and influences the resolution of the ensuing solid mesh used for numerical analysis. Despite a large number of studies incorporating sensitivity studies of the effects of solid mesh resolution there has not yet been any investigation into the effect of surface mesh resolution upon results in a comparative context. Here we use a dataset of crocodile crania to examine the effects of surface resolution on FEA results in a comparative context. Seven high-resolution surface meshes were each down-sampled to varying degrees while keeping the resulting number of solid elements constant. These models were then subjected to bite and shake load cases using finite element analysis. The results show that incremental decreases in surface resolution can result in fluctuations in strain magnitudes, but that it is possible to obtain stable results using lower resolution surface in a comparative FEA study. As surface mesh resolution links input geometry with the resulting solid mesh, the implication of these results is that low resolution input geometry and solid meshes may provide valid results in a comparative context. PeerJ Inc. 2015-06-02 /pmc/articles/PMC4458129/ /pubmed/26056620 http://dx.doi.org/10.7717/peerj.988 Text en © 2015 McCurry et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Computational Biology McCurry, Matthew R. Evans, Alistair R. McHenry, Colin R. The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
title | The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
title_full | The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
title_fullStr | The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
title_full_unstemmed | The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
title_short | The sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
title_sort | sensitivity of biological finite element models to the resolution of surface geometry: a case study of crocodilian crania |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458129/ https://www.ncbi.nlm.nih.gov/pubmed/26056620 http://dx.doi.org/10.7717/peerj.988 |
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