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An efficient parallel immersed boundary algorithm using a pseudo-compressible fluid solver

delete2015-01-01
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Jeffrey K. Wiens *
J
John M. Stockie
DOI:10.1016/j.jcp.2014.10.058delete
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Abstract

Abstract

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We propose an efficient algorithm for the immersed boundary method on distributed-memory architectures that has the computational complexity of a completely explicit method and also has excellent parallel scaling. The algorithm utilizes the pseudo-compressibility method recently proposed by Guermond and Minev that uses a directional splitting strategy to discretize the incompressible Navier-Stokes equations, thereby reducing the linear systems to a series of one-dimensional tridiagonal systems. We perform numerical simulations of several fluid-structure interaction problems in two and three dimensions and study the accuracy and convergence rates of the proposed algorithm. We also compare the proposed algorithm with other second-order projection-based fluid solvers. Lastly, the execution time and scaling properties of the proposed algorithm are investigated and compared to alternate approaches. (C) 2014 Elsevier Inc. All rights reserved.
Keywords:
Immersed boundary method
Fluid-structure interaction
Fractional step method
Pseudo-compressibility method
Domain decomposition
Parallel algorithm
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Journal

Journal of Computational Physics cover
Journal of Computational Physics
IF:
3.8
Papers:
1.5W
Citations:
7.4W

Organization

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Simon Fraser University
Scholars:
1.0W
Papers: 1.0W
Citations: 1.4W