Paper Info
Title
Accurate Parallel Algorithm For Tracking Inertial Particles In Large-Scale Direct Numerical Simulations Of Turbulence
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.
Year
DOI
Venue
2015
10.1007/978-3-319-21909-7_51
PARALLEL COMPUTING TECHNOLOGIES (PACT 2015)
Keywords
Field
DocType
Large-scale DNS of turbulence, Particle tracking, Cubic spline interpolation, Parallel computation
Inertial frame of reference,Mathematical optimization,Spline interpolation,Parallel algorithm,Turbulence,Turbulent diffusion,Interpolation,Mechanics,Spectral method,Domain decomposition methods,Physics
Conference
Volume
ISSN
Citations 
9251
0302-9743
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Takashi Ishihara100.34
Kei Enohata200.34
Koji Morishita300.34
Mitsuo Yokokawa422751.71
Katsuya Ishii500.34