Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation

Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis an...

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Detalles Bibliográficos
Autores: Mangado López, Nerea, Piella Fenoy, Gemma, Noailly, Jérôme, Pons-Prats, Jordi, González Ballester, Miguel Ángel, 1973-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/33931
Acceso en línea:http://hdl.handle.net/10230/33931
http://dx.doi.org/10.3389/fbioe.2016.00085
Access Level:acceso abierto
Palabra clave:Uncertainty quantification
Finite element models
Random variables
Intrusive and non-intrusive methods
Sampling techniques
Computational modeling
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spelling Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagationMangado López, NereaPiella Fenoy, GemmaNoailly, JérômePons-Prats, JordiGonzález Ballester, Miguel Ángel, 1973-Uncertainty quantificationFinite element modelsRandom variablesIntrusive and non-intrusive methodsSampling techniquesComputational modelingComputational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.This work is partly supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502) and by the European Union Seventh Frame Programme (FP7/2007-2013), Grant agreement 304857, HEAR-EU project.Frontiers201820182016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/33931http://dx.doi.org/10.3389/fbioe.2016.00085reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésFrontiers in Bioengineering and Biotechnology. 2016;4: 85.info:eu-repo/grantAgreement/EC/FP7/304857© 2016 Mangado, Piella, Noailly, Pons-Prats and González Ballester. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/339312026-05-29T05:05:01Z
dc.title.none.fl_str_mv Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
title Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
spellingShingle Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
Mangado López, Nerea
Uncertainty quantification
Finite element models
Random variables
Intrusive and non-intrusive methods
Sampling techniques
Computational modeling
title_short Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
title_full Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
title_fullStr Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
title_full_unstemmed Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
title_sort Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
dc.creator.none.fl_str_mv Mangado López, Nerea
Piella Fenoy, Gemma
Noailly, Jérôme
Pons-Prats, Jordi
González Ballester, Miguel Ángel, 1973-
author Mangado López, Nerea
author_facet Mangado López, Nerea
Piella Fenoy, Gemma
Noailly, Jérôme
Pons-Prats, Jordi
González Ballester, Miguel Ángel, 1973-
author_role author
author2 Piella Fenoy, Gemma
Noailly, Jérôme
Pons-Prats, Jordi
González Ballester, Miguel Ángel, 1973-
author2_role author
author
author
author
dc.subject.none.fl_str_mv Uncertainty quantification
Finite element models
Random variables
Intrusive and non-intrusive methods
Sampling techniques
Computational modeling
topic Uncertainty quantification
Finite element models
Random variables
Intrusive and non-intrusive methods
Sampling techniques
Computational modeling
description Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.
publishDate 2016
dc.date.none.fl_str_mv 2016
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/33931
http://dx.doi.org/10.3389/fbioe.2016.00085
url http://hdl.handle.net/10230/33931
http://dx.doi.org/10.3389/fbioe.2016.00085
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Frontiers in Bioengineering and Biotechnology. 2016;4: 85.
info:eu-repo/grantAgreement/EC/FP7/304857
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers
publisher.none.fl_str_mv Frontiers
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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