Don't be jelly: Exploring effective jellyfish locomotion

作者: Nicholas A. Battista , Jason G. Miles

DOI:

关键词: Fineness ratioViscous liquidImmersed boundary methodJellyfishSobol sequenceMathematicsReynolds numberKinematicsMathematical analysisSubspace topology

摘要: Jellyfish have been called one of the most energy-efficient animals in world due to ease which they move through their fluid environment, by product morphological, muscular, and material properties. We investigated jellyfish locomotion conducting \textit{in silico} comparative studies explored swimming performance across different scales (e.g., Reynolds Number), bell contraction frequencies, phase kinematics for a with fineness ratio 1 (ratio height diameter). To study these relationships, an open source implementation immersed boundary method was used (\textit{IB2d}) solve fully coupled fluid-structure interaction problem flexible viscous fluid. Thorough 2D parameter subspace explorations illustrated optimal combinations give rise enhanced performance. All metrics indicated higher sensitivity actuation frequency than scale or kinematics, via Sobol analysis, on high subspace. Moreover, Pareto-like fronts were identified overall space involving cost transport forward speed. Patterns emerged within spaces when highlighting regions, complemented global results. Lastly, computational model is offered science community that can be as starting place future numerical experimentation.

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