Discrete Boltzmann trans-scale modeling of high-speed compressible flows

Yanbiao Gan, Aiguo Xu, Guangcai Zhang, Yudong Zhang, and Sauro Succi
Phys. Rev. E 97, 053312 – Published 31 May 2018

Abstract

We present a general framework for constructing trans-scale discrete Boltzmann models (DBMs) for high-speed compressible flows ranging from continuum to transition regime. This is achieved by designing a higher-order discrete equilibrium distribution function that satisfies additional nonhydrodynamic kinetic moments. To characterize the thermodynamic nonequilibrium (TNE) effects and estimate the condition under which the DBMs at various levels should be used, two measures are presented: (i) the relative TNE strength, describing the relative strength of the (N+1)th order TNE effects to the Nth order one; (ii) the TNE discrepancy between DBM simulation and relevant theoretical analysis. Whether or not the higher-order TNE effects should be taken into account in the modeling and which level of DBM should be adopted is best described by the relative TNE intensity and/or the discrepancy rather than by the value of the Knudsen number. As a model example, a two-dimensional DBM with 26 discrete velocities at Burnett level is formulated, verified, and validated.

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  • Received 13 January 2018
  • Revised 19 April 2018

DOI:https://doi.org/10.1103/PhysRevE.97.053312

©2018 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsFluid Dynamics

Authors & Affiliations

Yanbiao Gan1,2, Aiguo Xu3,4,*, Guangcai Zhang3, Yudong Zhang3,5, and Sauro Succi6,7

  • 1North China Institute of Aerospace Engineering, Langfang 065000, China
  • 2College of Mathematics and Informatics & FJKLMAA, Fujian Normal University, Fuzhou 350007, China
  • 3National Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, P.O. Box 8009-26, Beijing 100088, China
  • 4Center for Applied Physics and Technology, MOE Key Center for High Energy Density Physics Simulations, College of Engineering, Peking University, Beijing 100871, China
  • 5Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing 210094, China
  • 6Center for Life Nano Science at La Sapienza, Fondazione Istituto Italiano di Tecnologia, Viale Regina Margherita 295, 00161 Roma, Italy
  • 7Physics Department and Institute for Applied Computational Science, John A. Paulson School of Applied Science and Engineering, Harvard University, Oxford Street 29, Cambridge, Massachusetts 02138, USA

  • *Corresponding author: xu_aiguo@iapcm.ac.cn

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Issue

Vol. 97, Iss. 5 — May 2018

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