Optimal gaits of fish-like swimming

Xuanhong An, Daniel Floryan, Clarence W. Rowley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we investigate optimal gaits for fish-like swimming. Specifically, we develop and use an efficient adjoint-based optimization algorithm to find the periodic gait that maximizes the average thrust. The optimization algorithm has three components: (1) an immersed boundary DNS solver, which is employed to solve for the flow field and compute the lift and drag on an oscillating 2D plate; (2) an iterative adjoint-based optimizer, formulated to compute the gradient of the objective function with respect to the parameters and obtain the optimal gaits; and (3) a Newton-GMRES solver, which is used to accelerate the calculation of limit cycles. We also carry out a detailed analysis of the optimal gait.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2021 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-11
Number of pages11
ISBN (Print)9781624106095
DOIs
StatePublished - 2021
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 - Virtual, Online
Duration: Jan 11 2021Jan 15 2021

Publication series

NameAIAA Scitech 2021 Forum

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
CityVirtual, Online
Period1/11/211/15/21

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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