Bioinspired swimming simulations

JOURNAL OF COMPUTATIONAL PHYSICS

卷:323

Article

Bergmann, Michel^1,2,3  Iollo, Angelo^1,2,3 

[1] INRIA, Memphis Team, F-33400 Talence, France

[2] Univ Bordeaux, IMB, UMR 5251, F-33400 Talence, France

[3] CNRS, IMB, UMR 5251, F-33400 Talence, France

关键词: Bioinspired swimming;    Level set;    Skeleton;    Optimal transportation;    Cartesian mesh;    Penalization;   

DOI  :  10.1016/j.jcp.2016.07.022

来源: Elsevier

【 摘 要 】

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 with a Cartesian method based on penalization. This technique can be used to automate modeling swimming motion from data collected by biologists. We illustrate this paradigm by simulating the swimming of a mackerel fish. (C) 2016 Elsevier Inc. All rights reserved.

【 授权许可】

Free