Bioinspired swimming simulations

Michel Bergmann 1, 2 Angelo Iollo 2, 1
2 MEMPHIS - Modeling Enablers for Multi-PHysics and InteractionS
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest
Abstract : We present a method to simulate the flow past bioinspired swimmers starting from pictures of an actual fish. The overall approach requires i) a skeleton graph generation to get a level-set function from pictures; ii) optimal transportation to obtain the velocity on the body surface; iii) flow simulations realized thanks to a cartesian method based on penalization. We illustrate this paradigm by simulating the swimming of a mackerel fish.
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Michel Bergmann, Angelo Iollo. Bioinspired swimming simulations. Journal of Computational Physics, Elsevier, 2016, 323, pp.310 - 321. ⟨10.1016/j.jcp.2016.07.022⟩. ⟨hal-01405039⟩

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