Accurate parallel algorithm for tracking inertial particles in large-scale direct numerical simulations of turbulence

Takashi Ishihara, Kei Enohata, Koji Morishita, Mitsuo Yokokawa, Katsuya Ishii

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Statistics on the motion of small heavy (inertial) particles in turbulent flows with a high Reynolds number are physically fundamental to understanding realistic turbulent diffusion phenomena. An accurate parallel algorithm for tracking particles in large-scale direct numerical simulations (DNSs) of turbulence in a periodic box has been developed to extract accurate statistics on the motion of inertial particles. The tracking accuracy of the particle motion is known to primarily depend on the spatial resolution of the DNS for the turbulence and the accuracy of the interpolation scheme used to calculate the fluid velocity at the particle position. In this study, a DNS code based on the Fourier spectral method and two-dimensional domain decomposition method was developed and optimised for the K computer. An interpolation scheme based on cubic splines is implemented by solving tridiagonal matrix problems in parallel.

Original languageEnglish
Title of host publicationParallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings
PublisherSpringer Verlag
Pages522-527
Number of pages6
ISBN (Print)9783319219080
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes
Event13th International Conference on Parallel Computing Technologies, PaCT 2015 - Petrozavodsk, Russian Federation
Duration: Aug 31 2015Sep 4 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9251
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Parallel Computing Technologies, PaCT 2015
CountryRussian Federation
CityPetrozavodsk
Period8/31/159/4/15

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Keywords

  • Cubic spline interpolation
  • Large-scale DNS of turbulence
  • Parallel computation
  • Particle tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ishihara, T., Enohata, K., Morishita, K., Yokokawa, M., & Ishii, K. (2015). Accurate parallel algorithm for tracking inertial particles in large-scale direct numerical simulations of turbulence. In Parallel Computing Technologies - 13th International Conference, PaCT 2015, Proceedings (pp. 522-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9251). Springer Verlag. https://doi.org/10.1007/978-3-319-21909-7_51