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New iterative and staggered solution schemes for incompressible fluid‐structure interaction based on Dirichlet‐Neumann coupling
International Journal for Numerical Methods in Engineering, Volume: 122, Issue: 19
Swansea University Authors: Wulf Dettmer , Aleksander Lovric, Chennakesava Kadapa , Djordje Peric
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DOI (Published version): 10.1002/nme.6494
In the presence of strong added mass effects, partitioned solution strategies for incompressible fluid‐structure interaction are known to lack robustness and computational efficiency. A number of strategies have been proposed to address this challenge. However, these strategies are often complicated...
|Published in:||International Journal for Numerical Methods in Engineering|
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In the presence of strong added mass effects, partitioned solution strategies for incompressible fluid‐structure interaction are known to lack robustness and computational efficiency. A number of strategies have been proposed to address this challenge. However, these strategies are often complicated or restricted to certain problem classes and generally require intrusive modifications of existing software. In this work the well‐known Dirichlet‐Neumann coupling is revisited and a new combined two‐field relaxation strategy is proposed. A family of efficient staggered schemes based crucially on a force predictor is formulated alongside the classical iterative approach. Both methodologies are rigorously analysed on the basis of a linear model problem derived from a simplified fluid‐conveying elastic tube. The investigation suggests that both the robustness and the efficiency of a partitioned Dirichlet‐Neumann coupling scheme can be improved by a relatively small nonintrusive modification of a standard implementation. The relevance of the model problemanalysis for finite element based computational fluid‐structure interaction is demonstrated in detail for a submerged cylinder subject to an external force.
added mass, Dirichlet-Neumann coupling, incompressible fluid-structure interaction, partitionedsolution strategy, staggered scheme
Faculty of Science and Engineering