Literature DB >> 23564971

An efficient immersed boundary-lattice Boltzmann method for the hydrodynamic interaction of elastic filaments.

Fang-Bao Tian1, Haoxiang Luo, Luoding Zhu, James C Liao, Xi-Yun Lu.   

Abstract

We have introduced a modified penalty approach into the flow-structure interaction solver that combines an immersed boundary method (IBM) and a multi-block lattice Boltzmann method (LBM) to model an incompressible flow and elastic boundaries with finite mass. The effect of the solid structure is handled by the IBM in which the stress exerted by the structure on the fluid is spread onto the collocated grid points near the boundary. The fluid motion is obtained by solving the discrete lattice Boltzmann equation. The inertial force of the thin solid structure is incorporated by connecting this structure through virtual springs to a ghost structure with the equivalent mass. This treatment ameliorates the numerical instability issue encountered in this type of problems. Thanks to the superior efficiency of the IBM and LBM, the overall method is extremely fast for a class of flow-structure interaction problems where details of flow patterns need to be resolved. Numerical examples, including those involving multiple solid bodies, are presented to verify the method and illustrate its efficiency. As an application of the present method, an elastic filament flapping in the Kármán gait and the entrainment regions near a cylinder is studied to model fish swimming in these regions. Significant drag reduction is found for the filament, and the result is consistent with the metabolic cost measured experimentally for the live fish.

Entities:  

Keywords:  Fish swimming; Flapping flags; Flow-structure interaction; Immersed boundary method; Lattice Boltzmann method

Year:  2011        PMID: 23564971      PMCID: PMC3615432          DOI: 10.1016/j.jcp.2011.05.028

Source DB:  PubMed          Journal:  J Comput Phys        ISSN: 0021-9991            Impact factor:   3.553


  9 in total

1.  Flexible filaments in a flowing soap film as a model for one-dimensional flags in a two-dimensional wind.

Authors:  J Zhang; S Childress; A Libchaber; M Shelley
Journal:  Nature       Date:  2000-12-14       Impact factor: 49.962

2.  Discrete lattice effects on the forcing term in the lattice Boltzmann method.

Authors:  Zhaoli Guo; Chuguang Zheng; Baochang Shi
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-04-10

3.  Heavy flags undergo spontaneous oscillations in flowing water.

Authors:  Michael Shelley; Nicolas Vandenberghe; Jun Zhang
Journal:  Phys Rev Lett       Date:  2005-03-09       Impact factor: 9.161

4.  An immersed boundary lattice Boltzmann approach to simulate deformable liquid capsules and its application to microscopic blood flows.

Authors:  Junfeng Zhang; Paul C Johnson; Aleksander S Popel
Journal:  Phys Biol       Date:  2007-11-21       Impact factor: 2.583

5.  Anomalous hydrodynamic drafting of interacting flapping flags.

Authors:  Leif Ristroph; Jun Zhang
Journal:  Phys Rev Lett       Date:  2008-11-03       Impact factor: 9.161

6.  The Kármán gait: novel body kinematics of rainbow trout swimming in a vortex street.

Authors:  James C Liao; David N Beal; George V Lauder; Michael S Triantafyllou
Journal:  J Exp Biol       Date:  2003-03       Impact factor: 3.312

7.  The role of the lateral line and vision on body kinematics and hydrodynamic preference of rainbow trout in turbulent flow.

Authors:  James C Liao
Journal:  J Exp Biol       Date:  2006-10       Impact factor: 3.312

Review 8.  A review of fish swimming mechanics and behaviour in altered flows.

Authors:  James C Liao
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-11-29       Impact factor: 6.237

9.  Fish exploiting vortices decrease muscle activity.

Authors:  James C Liao; David N Beal; George V Lauder; Michael S Triantafyllou
Journal:  Science       Date:  2003-11-28       Impact factor: 47.728

  9 in total
  3 in total

1.  Deformation of a Capsule in a Power-Law Shear Flow.

Authors:  Fang-Bao Tian
Journal:  Comput Math Methods Med       Date:  2016-10-19       Impact factor: 2.238

2.  A Numerical Simulation of Cell Separation by Simplified Asymmetric Pinched Flow Fractionation.

Authors:  Jing-Tao Ma; Yuan-Qing Xu; Xiao-Ying Tang
Journal:  Comput Math Methods Med       Date:  2016-08-15       Impact factor: 2.238

3.  Fast prediction of blood flow in stenosed arteries using machine learning and immersed boundary-lattice Boltzmann method.

Authors:  Li Wang; Daoyi Dong; Fang-Bao Tian
Journal:  Front Physiol       Date:  2022-08-26       Impact factor: 4.755

  3 in total

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