Journal
APPLIED MATHEMATICAL MODELLING
Volume 34, Issue 12, Pages 3817-3830Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2010.03.022
Keywords
Fluid-structure interaction; Strongly coupled approach; Reduced order model; Flow-induced vibration
Funding
- National Natural Science Foundation of Yunnan Province [2008GA027, 2009ZC035M]
- Kunming University of Science and Technology [KKZ3200906003]
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In this work a powerful technique is described which allows the implicit coupling of partitioned solvers in fluid-structure interaction (FSI) problems. The flow under consideration is governed by the Navier-Stokes equations for incompressible viscous fluids and modeled with the finite volume method. The structure is represented by a finite element formulation. The method allows the use of a black box fluid and structural solver because it builds up a reduced order model of the fluid and structural problem during the coupling process. Each solution of the fluid/structural solver in the coupling process can be seen as a sensitivity response of an applied displacement/pressure mode. The applied modes and their responses are used to build up a reduced-order model. The proposed model is used to predict the unsteady flow fields of a particular flow-induced vibrational phenomenon - a fixed cubic rigid body is submerged in an incompressible fluid flow (water), an elastic plate is attached to the rigid body in the centre of the downstream face, and the vortices, which separate from the corners of the rigid body upstream, generate lift forces which excite continuous oscillations of the elastic plate downstream. The computational results show that a fairly good convergence solution is achieved by using the reduced-order model that is based on only a few displacement and stress modes, which largely reduces the computational cost, compared with traditional approaches. At the same time, comparison of the numerical results of the model with available experimental data validates the methodology and assesses its accuracy. Crown Copyright (C) 2010 Published by Elsevier Inc. All rights reserved.
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