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Implicit coupling of partitioned fluid–structure interaction problems with reduced order models

2007; Elsevier BV; Volume: 85; Issue: 11-14 Linguagem: Inglês

10.1016/j.compstruc.2006.11.006

1879-2243

Jan Vierendeels, Lieve Lanoye, Joris Degroote, Pascal Verdonck,

Model Reduction and Neural Networks

In this paper a newly developed technique for strongly coupled fluid–structure interaction problems is presented. In order to achieve strong coupling the Jacobian of the fluid and/or structural problem is needed or has to be approximated. A technique is presented which uses the Jacobian from reduced order models that are built up during the coupling iterations. As validation, pressure wave propagation in a blood vessel is computed and as a second example growth and detachment of a gas bubble from a vertical needle submerged in a liquid is simulated. Both examples illustrate the algorithmic performance and show accurate results.