Discrete Boltzmann modeling of Rayleigh-Taylor instability in two-component compressible flows

Chuandong Lin, Aiguo Xu, Guangcai Zhang, Kai Hong Luo, and Yingjun Li
Phys. Rev. E 96, 053305 – Published 13 November 2017

Abstract

A discrete Boltzmann model (DBM) is proposed to probe the Rayleigh-Taylor instability (RTI) in two-component compressible flows. Each species has a flexible specific-heat ratio and is described by one discrete Boltzmann equation (DBE). Independent discrete velocities are adopted for the two DBEs. The collision and force terms in the DBE account for the molecular collision and external force, respectively. Two types of force terms are exploited. In addition to recovering the modified Navier-Stokes equations in the hydrodynamic limit, the DBM has the capability of capturing detailed nonequilibrium effects. Furthermore, we use the DBM to investigate the dynamic process of the RTI. The invariants of tensors for nonequilibrium effects are presented and studied. For low Reynolds numbers, both global nonequilibrium manifestations and the growth rate of the entropy of mixing show three stages (i.e., the reducing, increasing, and then decreasing trends) in the evolution of the RTI. On the other hand, the early reducing tendency is suppressed and even eliminated for high Reynolds numbers. Relevant physical mechanisms are analyzed and discussed.

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  • Received 25 March 2017

DOI:https://doi.org/10.1103/PhysRevE.96.053305

©2017 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsFluid Dynamics

Authors & Affiliations

Chuandong Lin1,2,3,*, Aiguo Xu4,5,†, Guangcai Zhang4,‡, Kai Hong Luo1,6,§, and Yingjun Li2,∥

  • 1Center for Combustion Energy, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China
  • 2State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining and Technology, Beijing 100083, China
  • 3College of Mathematics and Informatics & FJKLMAA, Fujian Normal University, Fuzhou 350007, China
  • 4Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, P. O. Box 8009-26, Beijing 100088, China
  • 5Center for Applied Physics and Technology, MOE Key Center for High Energy Density Physics Simulations, College of Engineering, Peking University, Beijing 100871, China
  • 6Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, United Kingdom

  • *chuandonglin@163.com
  • Xu_Aiguo@iapcm.ac.cn
  • zhang_guangcai@iapcm.ac.cn
  • §K.Luo@ucl.ac.uk
  • lyj@aphy.iphy.ac.cn

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Issue

Vol. 96, Iss. 5 — November 2017

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