Coupled multiphysics modeling of aortic dissection

  • Computational modeling of the cardiovascular system plays an increasingly important role in biomedicine, as it allows for non-invasive investigations of the status-quo and studying the influence of different treatment options available. The goal is to incorporate patient-specific datasets to obtain socalled digital twins to increase relevance of virtual surgery and support clinical decision making. In this context, aortic dissection is particularly challenging, since the overall system behavior strongly depends on the interplay between tissue deformation and blood flow, giving rise to a fully coupled fluid-structure interaction problem. To account for the complex physics, several additional modeling aspects such as prestress, advanced constitutive models respecting fibre orientation and suitable boundary conditions for the fluid and solid phases have to be considered. Within this study, these special techniques are applied to a patient-specific dataset, for which first results areComputational modeling of the cardiovascular system plays an increasingly important role in biomedicine, as it allows for non-invasive investigations of the status-quo and studying the influence of different treatment options available. The goal is to incorporate patient-specific datasets to obtain socalled digital twins to increase relevance of virtual surgery and support clinical decision making. In this context, aortic dissection is particularly challenging, since the overall system behavior strongly depends on the interplay between tissue deformation and blood flow, giving rise to a fully coupled fluid-structure interaction problem. To account for the complex physics, several additional modeling aspects such as prestress, advanced constitutive models respecting fibre orientation and suitable boundary conditions for the fluid and solid phases have to be considered. Within this study, these special techniques are applied to a patient-specific dataset, for which first results are presented highlighting their relevance.show moreshow less

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Metadaten
Author:Richard SchussnigORCiDGND, T. Fries
URN:urn:nbn:de:bvb:384-opus4-1052061
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/105206
Parent Title (English):14th World Congress on Computational Mechanics (WCCM) ECCOMAS Congress 2020), Virtual Congress: 11-15 January 2021
Publisher:CIMNE
Place of publication:Barcelona
Editor:F. Chinesta, R. Abgrall, O. Allix, M. Kaliske
Type:Conference Proceeding
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2023/06/23
First Page:1
Last Page:12
DOI:https://doi.org/10.23967/wccm-eccomas.2020.109
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für High-Performance Scientific Computing
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand)