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Title: Interpolation methods and the accuracy of lattice-Boltzmann mesh refinement

Journal Article · · Journal of Computational Physics
 [1];  [2];  [3];  [2]
  1. Colorado State Univ., Fort Collins, CO (United States). Dept. of Mechanical Engineering
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

A lattice-Boltzmann model to solve the equivalent of the Navier-Stokes equations on adap- tively refined grids is presented. A method for transferring information across interfaces between different grid resolutions was developed following established techniques for finite- volume representations. This new approach relies on a space-time interpolation and solving constrained least-squares problems to ensure conservation. The effectiveness of this method at maintaining the second order accuracy of lattice-Boltzmann is demonstrated through a series of benchmark simulations and detailed mesh refinement studies. These results exhibit smaller solution errors and improved convergence when compared with similar approaches relying only on spatial interpolation. Examples highlighting the mesh adaptivity of this method are also provided.

Research Organization:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1226215
Report Number(s):
LLNL-JRNL-594615
Journal Information:
Journal of Computational Physics, Vol. 259, Issue C; ISSN 0021-9991
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 26 works
Citation information provided by
Web of Science

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Cited By (2)

Grid refinement for aeroacoustics in the lattice Boltzmann method: A directional splitting approach journal August 2017
Recent trends and progress in the immersed boundary method
  • Huang, Wei-Xi; Tian, Fang-Bao
  • Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 233, Issue 23-24 https://doi.org/10.1177/0954406219842606
journal April 2019