Non-intrusive reduced order modelling of fluid–structure interactions

A novel non-intrusive reduced order model (NIROM) for fluid–structure interaction (FSI) has been developed. The model is based on proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation method. The method is independent of the governing equations, therefore, it does not r...

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Veröffentlicht in:Computer methods in applied mechanics and engineering 2016-05, Vol.303, p.35-54
Hauptverfasser: Xiao, D., Yang, P., Fang, F., Xiang, J., Pain, C.C., Navon, I.M.
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Sprache:eng
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Zusammenfassung:A novel non-intrusive reduced order model (NIROM) for fluid–structure interaction (FSI) has been developed. The model is based on proper orthogonal decomposition (POD) and radial basis function (RBF) interpolation method. The method is independent of the governing equations, therefore, it does not require modifications to the source code. This is the first time that a NIROM was constructed for FSI phenomena using POD and RBF interpolation method. Another novelty of this work is the first implementation of the FSI NIROM under the framework of an unstructured mesh finite element multi-phase model (Fluidity) and a combined finite-discrete element method based solid model (Y2D). The capability of this new NIROM for FSI is numerically illustrated in three coupling simulations: a one-way coupling case (flow past a cylinder), a two-way coupling case (a free-falling cylinder in water) and a vortex-induced vibration of an elastic beam test case. It is shown that the FSI NIROM results in a large CPU time reduction by several orders of magnitude while the dominant details of the high fidelity model are captured. •First non-intrusive reduced order model for fluid–structure interactions.•First implementation of such NIROM to a combined fluid (FLUIDTY) and solid (Y2D) models.•The POD–RBF NIROM does not require any change/knowledge of original code.•First demonstration of NIROM in one and two way fluid and solid coupling cases.•A large reduction in the CPU computation cost (by 5–6 orders of magnitude) while the accuracy of the solutions is maintained.
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2015.12.029