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A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis
In this paper, a novel method for accelerating eddy currents calculation on a cell model using the finite element method (FEM) is presented. Due to the tiny thickness of cell membrane, a full-mesh cell model requires a large number of mesh elements and hence intensive computation resources and long...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345135/ https://www.ncbi.nlm.nih.gov/pubmed/32560582 http://dx.doi.org/10.3390/bios10060069 |
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author | Tang, Jiawei Lu, Mingyang Xie, Yuedong Yin, Wuliang |
author_facet | Tang, Jiawei Lu, Mingyang Xie, Yuedong Yin, Wuliang |
author_sort | Tang, Jiawei |
collection | PubMed |
description | In this paper, a novel method for accelerating eddy currents calculation on a cell model using the finite element method (FEM) is presented. Due to the tiny thickness of cell membrane, a full-mesh cell model requires a large number of mesh elements and hence intensive computation resources and long time. In this paper, an acceleration method is proposed to reduce the number of mesh elements and therefore reduce the computing time. It is based on the principle of replacing the thin cell membrane with an equivalent thicker structure. The method can reduce the number of mesh elements to 23% and the computational time to 17%, with an error of less than 1%. The method was verified using 2D and 3D finite element methods and can potentially be extended to other thin shell structures. The simulation results were validated by measurement and analytical results. |
format | Online Article Text |
id | pubmed-7345135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73451352020-07-09 A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis Tang, Jiawei Lu, Mingyang Xie, Yuedong Yin, Wuliang Biosensors (Basel) Article In this paper, a novel method for accelerating eddy currents calculation on a cell model using the finite element method (FEM) is presented. Due to the tiny thickness of cell membrane, a full-mesh cell model requires a large number of mesh elements and hence intensive computation resources and long time. In this paper, an acceleration method is proposed to reduce the number of mesh elements and therefore reduce the computing time. It is based on the principle of replacing the thin cell membrane with an equivalent thicker structure. The method can reduce the number of mesh elements to 23% and the computational time to 17%, with an error of less than 1%. The method was verified using 2D and 3D finite element methods and can potentially be extended to other thin shell structures. The simulation results were validated by measurement and analytical results. MDPI 2020-06-17 /pmc/articles/PMC7345135/ /pubmed/32560582 http://dx.doi.org/10.3390/bios10060069 Text en © 2020 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 Tang, Jiawei Lu, Mingyang Xie, Yuedong Yin, Wuliang A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis |
title | A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis |
title_full | A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis |
title_fullStr | A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis |
title_full_unstemmed | A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis |
title_short | A Novel Efficient FEM Thin Shell Model for Bio-Impedance Analysis |
title_sort | novel efficient fem thin shell model for bio-impedance analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345135/ https://www.ncbi.nlm.nih.gov/pubmed/32560582 http://dx.doi.org/10.3390/bios10060069 |
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