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Fluid dynamics of moving fish in a two-dimensional multiparticle collision dynamics model.

Daniel A P Reid1, H Hildenbrandt, J T Padding

  • 1Behavioural Ecology & Self-organization & Theoretical Biology, Rijksuniversiteit Groningen, Nijenborgh 7, Groningen, The Netherlands.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 3, 2012
PubMed
Summary

This study uses multiparticle collision dynamics to model fish swimming, revealing thrust generation in the rear body and a negative correlation between slip ratio and efficiency. Results challenge previous theoretical predictions for undulating fish locomotion.

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Area of Science:

  • Fluid dynamics
  • Biophysics
  • Computational biology

Background:

  • Studying animal locomotion fluid dynamics is challenging experimentally.
  • Multiparticle collision dynamics (MPCD) offers a computationally efficient method for simulating fluid dynamics.
  • Previous MPCD studies were limited to low Reynolds numbers and static or permeable shapes.

Purpose of the Study:

  • To investigate the hydrodynamics of an undulating fish at higher Reynolds numbers (1100-1500) using MPCD.
  • To analyze drag, thrust, lift, swimming efficiency, wake structure, and force distribution.
  • To compare simulation results with empirical data and theoretical predictions.

Main Methods:

  • Utilized the multiparticle collision dynamics (MPCD) method.
  • Validated MPCD performance with a moving insect wing simulation at Reynolds number 75.
  • Simulated an undulating fish model at Reynolds numbers 1100-1500.

Main Results:

  • Confirmed resemblance between simulated and empirical fish locomotion data.
  • Thrust is generated by the posterior two-thirds of the fish body, contrary to some theories.
  • Observed a negative correlation between slip ratio (U/V) and Froude efficiency.
  • Constraining sideways acceleration in models leads to artificial resemblance with unconstrained fish.

Conclusions:

  • MPCD is suitable for studying fish hydrodynamics at higher Reynolds numbers.
  • The study provides new insights into thrust generation and efficiency in undulating fish.
  • Model constraints can significantly impact simulation outcomes, highlighting the need for careful model design.