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PMID: 36261068 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Dipole- and vortex sheet-based models of fish swimming.

Journal of theoretical biology ·Vol. 556 ·2023-00-07 ·页码 111313

Zhang P, Peterson SD, Porfiri M

Abstract

Elucidating the hydrodynamics of fish swimming is critical to identifying the processes underlying fish orientation and schooling. Due to their mathematical tractability, models based on potential flow are preferred in the study of bidirectional interactions of fish with their surroundings. Dipole-based models that assimilate fish to pairs of vortices are particularly enticing, but yet to be thoroughly validated. Here, we embark on a computational fluid dynamics (CFD) campaign informed by experimental data to validate the accuracy of dipole-based models. The locomotory patterns of a fish undergoing carangiform swimming are reconstructed from existing experimental data, which are used as inputs to CFD simulations of a fish swimming in a channel flow. We demonstrate that dipole-based models are accurate in capturing key features of the fluid flow, but cannot predict the elongated flow streamlines around the fish that are evident in CFD. To address this issue, we propose an alternative model that replaces each vortex in the pair with a sheet along the fish length. Using a pair of vortex sheets that span approximately 80% of the fish body length with a separation distance of approximately 50% of the body width, the model is successful in predicting the fluid flow around the swimming fish for a range of background flow speeds and channel widths. The proposed model shows improved accuracy at the cost of a mildly increased computational effort, thereby constituting an ideal basis for research on fish hydrodynamics.

Keywords
CFD Dipole Hydrodynamics Locomotion Potential flow
MeSH 主题词
Animals Swimming Biomechanical Phenomena Hydrodynamics Fishes Locomotion
作者与单位
共 3 位作者,点击展开单位 / ORCID
Zhang Peng
Department of Mechanical and Aerospace Engineering and Center for Urban Science and Progress, New York University Tandon School of Engineering, 370 Jay Street, Brooklyn, 11201, NY, USA; Department of Mechanical Engineering, Tennessee Technological University, 115 W. 10th Street, Cookeville, 38505, TN, USA.
Peterson Sean D
Mechanical and Mechatronics Engineering Department, University of Waterloo, 200 University Avenue West, Waterloo, N2L 3G1, ON, Canada.
Porfiri Maurizio
Department of Mechanical and Aerospace Engineering, Department of Biomedical Engineering, and Center for Urban Science and Progress, New York University Tandon School of Engineering, 370 Jay Street, Brooklyn, 11201, NY, USA. Electronic address: [email protected].
Article Info
Journal
Journal of theoretical biology
Abbr.
J Theor Biol
ISSN
1095-8541
Corresponding email
Published
2023-00-07
电子出版
2022-00-17
页码
111313
Language
English
Country/Region
England
NLM ID
0376342
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