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A multi-body dynamics based numerical modelling tool for solving aquatic biomimetic problems.

Ruoxin Li1, Qing Xiao, Yuanchuan Liu

  • 1Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow, United Kingdom.

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Summary
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A new algorithm integrates fluid dynamics with bio-inspired systems for biomechanics research. This tool accurately simulates fish swimming, enabling future studies on robotic and live aquatic locomotion.

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Area of Science:

  • Biomechanics
  • Fluid Dynamics
  • Robotics

Background:

  • Bio-inspired systems offer novel approaches to locomotion.
  • Simulating fluid-structure interaction in aquatic environments is complex.
  • Existing models may not fully capture the dynamics of fish swimming.

Purpose of the Study:

  • To develop a versatile multi-body dynamic algorithm.
  • To integrate incompressible fluid flow with bio-inspired multibody dynamic systems.
  • To validate the algorithm through benchmark verifications for biomimetic applications.

Main Methods:

  • Development of a multi-body dynamic algorithm.
  • Integration of incompressible fluid flow simulation.
  • Four benchmark verifications for algorithm validation.

Main Results:

  • The algorithm successfully integrates fluid flow and multibody dynamics.
  • Demonstrated capability in solving various fish swimming biomechanics problems.
  • Accurate simulation of self-propelled motion with rigid bodies, deformable fins, and combined systems.

Conclusions:

  • The developed tool is powerful for biomechanics fish swimming problems.
  • Paves the way for investigating complex bio-inspired robots and live fish.
  • Applicable for propulsion and maneuvering studies in aquatic environments.