Bioinspired Swimming Simulations

Michel Bergmann 1, 2 Angelo Iollo 1, 2
1 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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Submitted on : Thursday, March 3, 2016 - 2:05:53 PM
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Michel Bergmann, Angelo Iollo. Bioinspired Swimming Simulations. [Research Report] RR-8874, Inria Bordeaux Sud-Ouest. 2016. ⟨hal-01282194⟩

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