DocumentCode :
3000530
Title :
Numerical Design of an Optimal Bypass for a Partially Blocked Artery
Author :
Chen, Rongliang ; Cai, Xiao-Chuan
Author_Institution :
Coll. of Math. & Econ., Hunan Univ., Changsha, China
fYear :
2012
fDate :
21-25 May 2012
Firstpage :
1449
Lastpage :
1456
Abstract :
A parallel domain decomposition method is introduced for numerical design of an optimal bypass for a partially blocked artery. The optimal bypass is described as the solution of a shape optimization problem governed by the steady-state incompressible Navier-Stokes equations that are used to model the blood flow. The problem is discretized with a finite element method on unstructured moving meshes and then solved by a parallel one-shot Lagrange-Newton-Krylov-Schwarz algorithm. In order to accelerate the convergence of the inexact Newton method, we introduce a two-level inexact Newton method which solves a coarse grid problem to generate a good initial guess for the fine grid inexact Newton method. Numerical experiments show that our algorithms perform well on a supercomputer with hundreds of processors.
Keywords :
Navier-Stokes equations; Newton method; blood vessels; convergence of numerical methods; haemodynamics; mesh generation; optimisation; parallel algorithms; blood flow; coarse-grid problem; convergence; fine-grid inexact Newton method; finite element method; optimal bypass numerical design; parallel domain decomposition method; parallel one-shot Lagrange-Newton-Krylov-Schwarz algorithm; partially-blocked artery; shape optimization problem; steady-state incompressible Navier-Stokes equations; supercomputer; two-level inexact Newton method; unstructured moving meshes; Arteries; Blood; Equations; Mathematical model; Newton method; Optimization; Shape; domain decomposition method; finite element method; one-shot method; parallel computing; shape optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0974-5
Type :
conf
DOI :
10.1109/IPDPSW.2012.185
Filename :
6270813
Link To Document :
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