Literature DB >> 25823642

A numerical study of the benefits of driving jellyfish bells at their natural frequency.

Alexander Hoover1, Laura Miller2.   

Abstract

A current question in swimming and flight is whether or not driving flexible appendages at their resonant frequency results in faster or more efficient locomotion. It has been suggested that jellyfish swim faster when the bell is driven at its resonant frequency. The goal of this study was to determine whether or not driving a jellyfish bell at its resonant frequency results in a significant increase in swimming velocity. To address this question, the immersed boundary method was used to solve the fully coupled fluid structure interaction problem of a flexible bell in a viscous fluid. Free vibration numerical experiments were used to determine the resonant frequency of the jellyfish bell. The jellyfish bells were then driven at frequencies ranging from above and below the resonant frequency. We found that jellyfish do swim fastest for a given amount of applied force when the bells are driven near their resonant frequency. Nonlinear effects were observed for larger deformations, shifting the optimal frequency to higher than the resonant frequency. We also found that the benefit of resonant forcing decreases for lower Reynolds numbers. Published by Elsevier Ltd.

Entities:  

Keywords:  Animal swimming; Biological fluid dynamics; Biomechanics; Fluid–structure interaction; Immersed boundary method

Mesh:

Year:  2015        PMID: 25823642     DOI: 10.1016/j.jtbi.2015.03.016

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  7 in total

1.  Neuromechanical wave resonance in jellyfish swimming.

Authors:  Alexander P Hoover; Nicole W Xu; Brad J Gemmell; Sean P Colin; John H Costello; John O Dabiri; Laura A Miller
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

2.  IB2d: a Python and MATLAB implementation of the immersed boundary method.

Authors:  Nicholas A Battista; W Christopher Strickland; Laura A Miller
Journal:  Bioinspir Biomim       Date:  2017-03-29       Impact factor: 2.956

3.  A semi-automated finite difference mesh creation method for use with immersed boundary software IB2d and IBAMR.

Authors:  D Michael Senter; Dylan R Douglas; W Christopher Strickland; Steven G Thomas; Anne M Talkington; Laura A Miller; Nicholas A Battista
Journal:  Bioinspir Biomim       Date:  2020-11-27       Impact factor: 2.956

4.  Hybrid finite difference/finite element immersed boundary method.

Authors:  Boyce E Griffith; Xiaoyu Luo
Journal:  Int J Numer Method Biomed Eng       Date:  2017-08-16       Impact factor: 2.747

5.  Jellyfish-Inspired Soft Robot Driven by Fluid Electrode Dielectric Organic Robotic Actuators.

Authors:  Caleb Christianson; Christopher Bayag; Guorui Li; Saurabh Jadhav; Ayush Giri; Chibuike Agba; Tiefeng Li; Michael T Tolley
Journal:  Front Robot AI       Date:  2019-11-21

6.  The Levantine jellyfish Rhopilema nomadica and Rhizostoma pulmo swim faster against the flow than with the flow.

Authors:  Dror Malul; Tamar Lotan; Yizhaq Makovsky; Roi Holzman; Uri Shavit
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

7.  From single neurons to behavior in the jellyfish Aurelia aurita.

Authors:  Fabian Pallasdies; Sven Goedeke; Wilhelm Braun; Raoul-Martin Memmesheimer
Journal:  Elife       Date:  2019-12-23       Impact factor: 8.140

  7 in total

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