Cargando…
Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection
This study analyzes the lethal clinical condition of aortic dissections from a numerical point of view. On the basis of previous contributions by Gültekin et al. (Comput Methods Appl Mech Eng 312:542–566, 2016 and 331:23–52, 2018), we apply a holistic geometrical approach to fracture, namely the cra...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825033/ https://www.ncbi.nlm.nih.gov/pubmed/31093869 http://dx.doi.org/10.1007/s10237-019-01164-y |
_version_ | 1783464832488439808 |
---|---|
author | Gültekin, Osman Hager, Sandra Priska Dal, Hüsnü Holzapfel, Gerhard A. |
author_facet | Gültekin, Osman Hager, Sandra Priska Dal, Hüsnü Holzapfel, Gerhard A. |
author_sort | Gültekin, Osman |
collection | PubMed |
description | This study analyzes the lethal clinical condition of aortic dissections from a numerical point of view. On the basis of previous contributions by Gültekin et al. (Comput Methods Appl Mech Eng 312:542–566, 2016 and 331:23–52, 2018), we apply a holistic geometrical approach to fracture, namely the crack phase-field, which inherits the intrinsic features of gradient damage and variational fracture mechanics. The continuum framework captures anisotropy, is thermodynamically consistent and is based on finite strains. The balance of linear momentum and the crack evolution equation govern the coupled mechanical and phase-field problem. The solution scheme features the robust one-pass operator-splitting algorithm upon temporal and spatial discretizations. Based on experimental data of diseased human thoracic aortic samples, the elastic material parameters are identified followed by a sensitivity analysis of the anisotropic phase-field model. Finally, we simulate an incipient propagation of an aortic dissection within a multi-layered segment of a thoracic aorta that involves a prescribed initial tear. The finite element results demonstrate a severe damage zone around the initial tear and exhibit a rather helical crack pattern, which aligns with the fiber orientation. It is hoped that the current contribution can provide some directions for further investigations of this disease. |
format | Online Article Text |
id | pubmed-6825033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-68250332019-11-06 Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection Gültekin, Osman Hager, Sandra Priska Dal, Hüsnü Holzapfel, Gerhard A. Biomech Model Mechanobiol Original Paper This study analyzes the lethal clinical condition of aortic dissections from a numerical point of view. On the basis of previous contributions by Gültekin et al. (Comput Methods Appl Mech Eng 312:542–566, 2016 and 331:23–52, 2018), we apply a holistic geometrical approach to fracture, namely the crack phase-field, which inherits the intrinsic features of gradient damage and variational fracture mechanics. The continuum framework captures anisotropy, is thermodynamically consistent and is based on finite strains. The balance of linear momentum and the crack evolution equation govern the coupled mechanical and phase-field problem. The solution scheme features the robust one-pass operator-splitting algorithm upon temporal and spatial discretizations. Based on experimental data of diseased human thoracic aortic samples, the elastic material parameters are identified followed by a sensitivity analysis of the anisotropic phase-field model. Finally, we simulate an incipient propagation of an aortic dissection within a multi-layered segment of a thoracic aorta that involves a prescribed initial tear. The finite element results demonstrate a severe damage zone around the initial tear and exhibit a rather helical crack pattern, which aligns with the fiber orientation. It is hoped that the current contribution can provide some directions for further investigations of this disease. Springer Berlin Heidelberg 2019-05-15 2019 /pmc/articles/PMC6825033/ /pubmed/31093869 http://dx.doi.org/10.1007/s10237-019-01164-y Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper Gültekin, Osman Hager, Sandra Priska Dal, Hüsnü Holzapfel, Gerhard A. Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
title | Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
title_full | Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
title_fullStr | Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
title_full_unstemmed | Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
title_short | Computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
title_sort | computational modeling of progressive damage and rupture in fibrous biological tissues: application to aortic dissection |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825033/ https://www.ncbi.nlm.nih.gov/pubmed/31093869 http://dx.doi.org/10.1007/s10237-019-01164-y |
work_keys_str_mv | AT gultekinosman computationalmodelingofprogressivedamageandruptureinfibrousbiologicaltissuesapplicationtoaorticdissection AT hagersandrapriska computationalmodelingofprogressivedamageandruptureinfibrousbiologicaltissuesapplicationtoaorticdissection AT dalhusnu computationalmodelingofprogressivedamageandruptureinfibrousbiologicaltissuesapplicationtoaorticdissection AT holzapfelgerharda computationalmodelingofprogressivedamageandruptureinfibrousbiologicaltissuesapplicationtoaorticdissection |