자료유형  

 학위논문

Control Number  

0017162597

International Standard Book Number  

9798384022763

Dewey Decimal Classification Number  

621

Main Entry-Personal Name  

Black, Ryan Thomas.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Pennsylvania., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

236 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

General Note  

Advisor: Park, George Ilhwan.

Dissertation Note  

Thesis (Ph.D.)--University of Pennsylvania, 2024.

Summary, Etc.  

요약Patient-specific computational modeling and simulation has become a routine part of cardiovascular clinical research. These techniques leverage medical imaging to construct subject-specific models that can be used to study disease processes, design and evaluate medical devices, perform predictive surgery, and aid in clinical decision-making. Modern cardiovascular simulations often require millions of elements and tens of thousands of time steps. Incorporation of additional physics only contributes to these costs and increases model complexity. Due to the presence of complex pulsatile hemodynamics potentially coupled with deformable vessel walls or heart valves, development of accurate, robust, and efficient cardiovascular simulation tools remains a challenging task. In this thesis, I present several improvements to existing finite element solver technologies for computational modeling of the cardiovascular system, all of which were implemented in a new computational FSI framework I developed in the Modular Finite Elements Methods (MFEM) C++ library. First, I describe a block preconditioning technique for implicit time discretization of the Navier-Stokes equations monolithically coupled to reduced dimension models of the cardiovascular system (e.g. Windkessel model). Mass conservation properties of various solution algorithms are investigated in a patient-specific aorta model. Next, I show how these improved techniques can be leveraged to simulate FSI problems, such as blood flow through deformable vessels, using the arbitrary Lagrangian-Eulerian method combined with a quasi-Newton solution procedure. Lastly, I present an immersed approach for computational modeling of fluid-structure interaction. A fully implicit monolithic coupling method is described, as well as several discretization improvements targeted for immersed thin structures. I demonstrate the potential of the method to simulate heart valve dynamics over the cardiac cycle using an idealized problem and two extensions: heterogeneous valves as a simplified model for calcification, as well as an anisotropic Fung type constitutive model for the leaflets.

Subject Added Entry-Topical Term  

Mechanical engineering.

Subject Added Entry-Topical Term  

Biomechanics.

Subject Added Entry-Topical Term  

Computational physics.

Subject Added Entry-Topical Term  

Biomedical engineering.

Subject Added Entry-Topical Term  

Fluid mechanics.

Index Term-Uncontrolled  

Arbitrary Lagrangian-Eulerian method

Index Term-Uncontrolled  

Cardiovascular flows

Index Term-Uncontrolled  

Finite element methods

Index Term-Uncontrolled  

Fluid-structure interaction

Index Term-Uncontrolled  

Heart valve modeling

Index Term-Uncontrolled  

Immersed methods

Added Entry-Corporate Name  

University of Pennsylvania Mechanical Engineering and Applied Mechanics

Host Item Entry  

Dissertations Abstracts International. 86-02B.

Electronic Location and Access  

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Control Number  

joongbu:654451