4.1 Article

Numerical simulation of the self-propulsive motion of a fishlike swimming foil using the δ+-SPH model

Journal

THEORETICAL AND APPLIED MECHANICS LETTERS
Volume 8, Issue 2, Pages 115-125

Publisher

ELSEVIER
DOI: 10.1016/j.taml.2018.02.007

Keywords

Smoothed particle hydrodynamics; delta(+)-SPH; Fishlike swimming; Wavy foil; Swimming propulsion

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Funding

  1. National Natural Science Foundation of China [U1430236]
  2. PhD Student Research and Innovation Fund of the Fundamental Research Funds for the Central Universities [HEUGIP201701]

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The present work is dedicated to the application of the recently developed (delta(+)-SPH) scheme to the self-propulsive fishlike swimming hydrodynamics. In the numerical method, a particle shifting technique (PST) is implemented in the framework of delta(+)-SPH, combining with an adaptive particle refinement (APR) which is a numerical technique adopted to refine the particle resolution in the local region and de-refine particles outside that region. This comes into being the so-called delta(+)-SPH scheme which contributes to higher numerical accuracy and efficiency. In the fishlike swimming modeling, a NACA0012 profile is controlled to perform a wavy motion mimicking the fish swimming in water. Thanks to the mesh-free characteristic of SPH method, the NACA0012 profile can undergo a wavy motion with large amplitude and move forward freely, avoiding the problem of mesh distortion. A parallel staggered algorithm is adopted to perform the fluid-structure interaction between the foil and the surrounding fluid. Two different approaches are adopted for the fishlike swimming problem. In Approach 1, the foil is fixed and flaps in a free stream and in Approach 2, the wavy foil can move forward under the self-driving force. The numerical results clearly demonstrate the capability of the delta(+)-SPH scheme in modeling such kind of self-propulsive fishlike swimming problems. (C) 2018 The Authors. Published by Elsevier Ltd on behalf of The Chinese Society of Theoretical and Applied Mechanics.

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