Large-scale forcing with less communication in finite-difference simulations of stationary isotropic turbulence

Ryo Onishi, Yuya Baba, Keiko Takahashi

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

Abstract

This study proposes a new forcing scheme suitable for massively-parallel finite-difference simulations of stationary isotropic turbulence. The proposed forcing scheme, named reduced-communication forcing (RCF), is based on the same idea as the conventional large-scale forcing scheme, but requires much less data communication, leading to a high parallel efficiency. It has been confirmed that the RCF scheme works intrinsically in the same manner as the conventional large-scale forcing scheme. Comparisons have revealed that a fourth-order finite-difference model run in combination with the RCF scheme (FDM-RCF) is as good as a spectral model, while requiring less computational costs. For the range 80<Reλ<540, where Reλ is the Taylor microscale-based Reynolds number, large computations using the FDM-RCF scheme show that the Reynolds dependences of skewness and flatness factors have similar power-laws as found in previous studies.

Original languageEnglish
Pages (from-to)4088-4099
Number of pages12
JournalJournal of Computational Physics
Volume230
Issue number10
DOIs
Publication statusPublished - 2011 May 10
Externally publishedYes

Keywords

  • Finite-difference scheme
  • Homogeneous isotropic turbulence
  • Large-scale forcing
  • Parallel computing

ASJC Scopus subject areas

  • Numerical Analysis
  • Modelling and Simulation
  • Physics and Astronomy (miscellaneous)
  • Physics and Astronomy(all)
  • Computer Science Applications
  • Computational Mathematics
  • Applied Mathematics

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