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Shocklet statistics in compressible isotropic turbulence

Shocklet statistics in compressible isotropic turbulence Shocklet statistics in compressible isotropic turbulence are studied by using numerical simulations with solenoidal forcing, at the turbulent Mach number M t ranging from 0.5 up to 1.0 and at the Taylor Reynolds number Re λ ranging from 110 to 250. A power-law region of the probability density function (PDF) of the shocklet strength M n − 1 ( M n is the normal shock Mach number) is observed. The magnitude of the power-law exponent is found to decrease with the increase of M t . We show that the most probable shocklet strength is proportional to M t 3 , and the shocklet thickness corresponding to the most probable shock Mach number is proportional to M t − 2 in our numerical simulations. The PDFs of the jumps of the velocity and thermodynamic variables across a shocklet exhibit a similar power-law scaling. The statistics of the jumps of the velocity and thermodynamic variables are further investigated by conditioned average. Nonlinear models for the conditional average of the jumps of the velocity and thermodynamic variables are developed and verified. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Physical Review Fluids American Physical Society (APS)

Shocklet statistics in compressible isotropic turbulence

Shocklet statistics in compressible isotropic turbulence

Physical Review Fluids , Volume 2 (2): 19 – Feb 14, 2017

Abstract

Shocklet statistics in compressible isotropic turbulence are studied by using numerical simulations with solenoidal forcing, at the turbulent Mach number M t ranging from 0.5 up to 1.0 and at the Taylor Reynolds number Re λ ranging from 110 to 250. A power-law region of the probability density function (PDF) of the shocklet strength M n − 1 ( M n is the normal shock Mach number) is observed. The magnitude of the power-law exponent is found to decrease with the increase of M t . We show that the most probable shocklet strength is proportional to M t 3 , and the shocklet thickness corresponding to the most probable shock Mach number is proportional to M t − 2 in our numerical simulations. The PDFs of the jumps of the velocity and thermodynamic variables across a shocklet exhibit a similar power-law scaling. The statistics of the jumps of the velocity and thermodynamic variables are further investigated by conditioned average. Nonlinear models for the conditional average of the jumps of the velocity and thermodynamic variables are developed and verified.

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Publisher
American Physical Society (APS)
Copyright
©2017 American Physical Society
Subject
ARTICLES; Compressible and Rarefied Flows, Kinetic Theory
ISSN
2469-990X
eISSN
2469-990X
DOI
10.1103/PhysRevFluids.2.023401
Publisher site
See Article on Publisher Site

Abstract

Shocklet statistics in compressible isotropic turbulence are studied by using numerical simulations with solenoidal forcing, at the turbulent Mach number M t ranging from 0.5 up to 1.0 and at the Taylor Reynolds number Re λ ranging from 110 to 250. A power-law region of the probability density function (PDF) of the shocklet strength M n − 1 ( M n is the normal shock Mach number) is observed. The magnitude of the power-law exponent is found to decrease with the increase of M t . We show that the most probable shocklet strength is proportional to M t 3 , and the shocklet thickness corresponding to the most probable shock Mach number is proportional to M t − 2 in our numerical simulations. The PDFs of the jumps of the velocity and thermodynamic variables across a shocklet exhibit a similar power-law scaling. The statistics of the jumps of the velocity and thermodynamic variables are further investigated by conditioned average. Nonlinear models for the conditional average of the jumps of the velocity and thermodynamic variables are developed and verified.

Journal

Physical Review FluidsAmerican Physical Society (APS)

Published: Feb 14, 2017

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