Development and Numerical Analysis of Partitioned Algorithms for Fluid-Elastic / Poroelastic Structure Interaction Problems
thesis
posted on 2020-07-13, 00:00authored byOyekola Oyekole
<p>This work introduces novel, loosely-coupled and easy-to-implement partitioned algorithms for Fluid-Structure Interaction (FSI) and Fluid-Poroelastic Structure Interaction, based on spatial discretization using the standard Galerkin Finite Element Method, and applying finite difference approximations in time. The methods are also immune to the added-mass effect.</p><p>First, we present a new method for FSI, based on operator splitting and the Crank-Nicolson discretization method. We prove its stability and second-order convergence properties, and then demonstrate its applicability to blood flow modeling under physiological conditions.<br></p><p>Next, we introduce two new algorithms for modeling the interaction between a flowing fluid and a viscoelastic material with a fully-saturated porous matrix. Both methods are based on implicit-explicit methods and are also second-order convergent. We prove the stability of each method, and show that one of the methods is uniformly stable over a long period of time. Finally we investigate their behaviors using numerical examples.</p><p>Last of all, we introduce a new loosely-coupled partitioned scheme based on generalized Robin interface conditions, using a model in which the coupling conditions account for the flow entry resistance. This partitioned method that we present is applicable for the interaction between a freely-flowing fluid and a fully-saturated poroelastic material. The proposed method is non-iterative and unconditionally stable, and we demonstrate its applicability using numerical examples.</p>
History
Date Modified
2020-07-31
Defense Date
2020-06-29
CIP Code
27.9999
Research Director(s)
Martina Bukac
Committee Members
Zhiliang Xu
Yongtao Zhang
Degree
Doctor of Philosophy
Degree Level
Doctoral Dissertation
Alternate Identifier
1179162509
Library Record
5780354
OCLC Number
1179162509
Additional Groups
Applied and Computational Mathematics and Statistics
Program Name
Applied and Computational Mathematics and Statistics