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Parallel monolithic fluid-structure ...

University of Colorado at Boulder., Applied Mathematics.

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Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation./
Author:	Barker, Andrew T.
Description:	120 p.
Notes:	Adviser: Xiao-Chuan Cai.
Contained By:	Dissertation Abstracts International70-04B.
Subject:	Biophysics, Medical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354559
ISBN:	9781109116137

Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation.
Barker, Andrew T.

Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation. - 120 p.

Adviser: Xiao-Chuan Cai.

Thesis (Ph.D.)--University of Colorado at Boulder, 2009.

We develop a numerical method for fluid-structure interaction. Our emphasis is on strong, monolithic coupling between fluid and structure and on developing scalable parallel algorithms and preconditioning techniques. The work developed in this thesis is the first to carefully consider parallel performance and scalability for monolithic coupling in fluid-structure interaction.

ISBN: 9781109116137Subjects--Topical Terms:

1017681
Biophysics, Medical.

Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation.
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020 $a 9781109116137
035 $a (UMI)AAI3354559
035 $a AAI3354559
040 $a UMI $c UMI
100 1 $a Barker, Andrew T. $3 1030308
245 1 0 $a Parallel monolithic fluid-structure interaction algorithms with application to blood flow simulation.
300 $a 120 p.
500 $a Adviser: Xiao-Chuan Cai.
500 $a Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2333.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2009.
520 $a We develop a numerical method for fluid-structure interaction. Our emphasis is on strong, monolithic coupling between fluid and structure and on developing scalable parallel algorithms and preconditioning techniques. The work developed in this thesis is the first to carefully consider parallel performance and scalability for monolithic coupling in fluid-structure interaction.
520 $a Although our fluid-structure algorithm is robust and flexible and could be used for several applications, the target application considered here is the simulation of blood flow in compliant arteries. In this setting, the incompressible Navier-Stokes equations are used to model the fluid and these are coupled to an incompressible linear visco-elastic model for the blood vessel walls. Our fluid-structure interaction method features an unstructured, dynamically moving fluid mesh in the arbitrary Lagrangian-Eulerian framework. We use a finite element discretization in space and fully implicit methods for the time discretization. Simulations are based on blood vessel geometries derived from patient-specific clinical data.
520 $a For the parallel implementation, we develop a scalable Newton-Krylov algorithms preconditioned with a two-level overlapping restricted additive Schwarz method. This preconditioner works on the entire fluid-structure system, with subdomain boundaries having no necessary correspondence to the fluid-structure interface. Our parallel algorithm is shown to be robust to many physical parameters and scalable to millions of unknowns and thousands of processor cores.
590 $a School code: 0051.
650 4 $a Biophysics, Medical. $3 1017681
650 4 $a Computer Science. $3 626642
650 4 $a Mathematics. $3 515831
690 $a 0405
690 $a 0760
690 $a 0984
710 2 $a University of Colorado at Boulder. $b Applied Mathematics. $3 1030307
773 0 $t Dissertation Abstracts International $g 70-04B.
790 $a 0051
790 1 0 $a Bortz, David $e committee member
790 1 0 $a Cai, Xiao-Chuan, $e advisor
790 1 0 $a Hunter, Kendall $e committee member
790 1 0 $a Manteuffel, Thomas $e committee member
790 1 0 $a McCormick, Steve $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354559