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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 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. ; Peer Reviewed ; Postprint (published version)
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 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. ; Peer Reviewed ; Postprint (published version)
Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
Mangado, Nerea (Autor:in) / Piella, Gemma (Autor:in) / Noailly, Jérôme (Autor:in) / Pons Prats, Jordi (Autor:in) / González Ballester, Miguel A. (Autor:in) / Universitat Politècnica de Catalunya. Departament de Física
07.11.2016
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
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