Optimum gaits of 2D thunniform locomotion for efficient swimming and performance of fish pair

Yi Qin Xu; Yulia Peet

doi:10.2514/6.2018-2915

Optimum gaits of 2D thunniform locomotion for efficient swimming and performance of fish pair

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The goal of this paper is to determine the optimum modes of aquatic locomotion for a tuna-like thunniform swimmer under water, and study the performance of paired thunniform swimmers. The computational framework is developed that couples a high-order fully-resolved numerical simulation of self-propelling flexible thunniform swimmer with the gradient-free optimization procedure based on evolutionary algorithm. The optimization is performed to find the optimum kinematic gaits of a single swimmer which are cost-efficient in start-up propulsion or maintaining constant speed. The performance of a fish pair is investigated under a selected swimming mode with various lateral separation distance under in-phase and anti-phase configuration.

Original language	English (US)
Title of host publication	2018 Fluid Dynamics Conference
Publisher	American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)	9781624105531
DOIs	https://doi.org/10.2514/6.2018-2915
State	Published - Jan 1 2018
Event	48th AIAA Fluid Dynamics Conference, 2018 - Atlanta, United States Duration: Jun 25 2018 → Jun 29 2018

Other

Other	48th AIAA Fluid Dynamics Conference, 2018
Country	United States
City	Atlanta
Period	6/25/18 → 6/29/18

ASJC Scopus subject areas

Aerospace Engineering
Engineering (miscellaneous)

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abstract = "The goal of this paper is to determine the optimum modes of aquatic locomotion for a tuna-like thunniform swimmer under water, and study the performance of paired thunniform swimmers. The computational framework is developed that couples a high-order fully-resolved numerical simulation of self-propelling flexible thunniform swimmer with the gradient-free optimization procedure based on evolutionary algorithm. The optimization is performed to find the optimum kinematic gaits of a single swimmer which are cost-efficient in start-up propulsion or maintaining constant speed. The performance of a fish pair is investigated under a selected swimming mode with various lateral separation distance under in-phase and anti-phase configuration.",

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