Master Thesis MSTR-2022-30

BibliographyOtlinghaus, Fritz: Coupling of macro and micro scale in a continuum-biomechanical model of the human liver using preCICE.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 30 (2022).
45 pages, english.

As the human liver is one of the most important organs in the human body, the scientific community aims to improve our understanding of its internal processes to enable better planning for individual liver surgeries. This includes the complex relationship between hepatic tissue and metabolic cell processes. This work is based on the modeling approach proposed by [RWH+14] where the hepatic tissue is modeled by partial differential equations (PDEs) in a homogenization approach based on the extended Theory of Porous Media (eTPM). These equations are then coupled with ordinary differential equations (ODEs), representing the metabolic processes in the liver cells. These models are solved by the FEM-solver FEBio for the hepatic tissue, and the ODEs on the cell scale are solved by the biochemical software library libRoadRunner. This work introduces a new two scale coupling using the coupling library preCICE and the Micro Manager. A new FEBio-preCICE adapter is implemented and compared to an existing coupling. To evaluate the differences in the couplings, three test cases are defined and simulation time, quality and memory usage for each test case is compared. This is followed up by discussing and comparing advantages and disadvantages for each coupling.

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Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation of Large Systems
Superviser(s)Uekermann, Jun.-Prof. Benjamin; Desai, Ishaan; Gerhäusser, Steffen
Entry dateSeptember 16, 2022
   Publ. Computer Science