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Computing Fluid-Structure Interaction by the Partitioned Approach with Direct Forcing

Part of: Coupling of solid mechanics with other effects

Published online by Cambridge University Press:  05 December 2016

Asim Timalsina ,
Gene Hou  and
Jin Wang
Asim Timalsina*
Affiliation:
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA 23529, USA
Gene Hou*
Affiliation:
Department of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA
Jin Wang*
Affiliation:
Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA
*
*Corresponding author. Email addresses:atimalsi@odu.edu (A. Timalsina), ghou@odu.edu (G. Hou), Jin-Wang02@utc.edu (J.Wang)
*Corresponding author. Email addresses:atimalsi@odu.edu (A. Timalsina), ghou@odu.edu (G. Hou), Jin-Wang02@utc.edu (J.Wang)
*Corresponding author. Email addresses:atimalsi@odu.edu (A. Timalsina), ghou@odu.edu (G. Hou), Jin-Wang02@utc.edu (J.Wang)
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Abstract

In this paper, we propose a new partitioned approach to compute fluid-structure interaction (FSI) by extending the original direct-forcing technique and integrating it with the immersed boundary method. The fluid and structural equations are calculated separately via their respective disciplinary algorithms, with the fluid motion solved by the immersed boundary method on a uniform Cartesian mesh and the structural motion solved by a finite element method, and their solution data only communicate at the fluid-structure interface. This computational framework is capable of handling FSI problems with sophisticated structures described by detailed constitutive laws. The proposed methods are thoroughly tested through numerical simulations involving viscous fluid flow interacting with rigid, elastic solid, and elastic thin-walled structures.

Keywords

Fluid-structure interactionimmersed boundary methodpartitioned approach

MSC classification

Secondary: 65Z05: Applications to physics 74F10: Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.)

Information

Type
Research Article
Information
Communications in Computational Physics , Volume 21 , Issue 1 , January 2017 , pp. 182 - 210
Copyright
Copyright © Global-Science Press 2016 

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