Shock wave kinetics: Multiscale hydrodynamic and thermodynamic non-equilibrium via the discrete Boltzmann method

Shock waves are typical multiscale phenomena in nature and engineering, inherently driven by both hydrodynamic and thermodynamic non-equilibrium (HNE and TNE) effects. However, the underlying mechanisms governing these non-equilibrium processes remain incompletely understood. In this study, we advance the discrete Boltzmann method (DBM) to adequately capture higher-order non-equilibrium. To reveal the dominant mechanism and offer mutual interpretation between macroscopic and TNE quantities, we derive analytical solutions for distribution functions and TNE measures of various orders via Chapman−Enskog analysis. Using argon shock structures as a case study, the DBM results show agreement with experimental, direct simulation Monte Carlo, and analytical data across two levels: (i) macroscopic interface profiles and thickness, and (ii) mesoscopic-level distribution functions and TNE indicators. Key findings include: (i) a Mach-number-induced two-stage behavior that manifests not only in shock width and smoothness but also in the peak of the distribution function, and (ii) a shift in the compressibility-dominated region from the outflow to inflow side with increasing Mach number. Beyond classical hydrodynamics, we analyze the dominant TNE mechanisms with analysis perspectives including the distribution function, types of TNE quantities, and TNE at different non-equilibrium orders. This study reveals how various orders and types of non-equilibrium effects govern shock wave structure, offering mesoscopic insight into kinetic behavior and laying a theoretical foundation for constructing physically robust non-equilibrium models.

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Publication Details

Journal
Frontiers of Physics
Published
2025-12-03
DOI
https://doi.org/10.15302/frontphys.2026.054203
Primary Topic
Gas Dynamics and Kinetic Theory
Type
article
Field-Weighted Citation Impact
0.00

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article

Shock wave kinetics: Multiscale hydrodynamic and thermodynamic non-equilibrium via the discrete Boltzmann method

Frontiers of Physics
Gas Dynamics and Kinetic Theory
article

Shock wave kinetics: Multiscale hydrodynamic and thermodynamic non-equilibrium via the discrete Boltzmann method

article en

Abstract

Shock waves are typical multiscale phenomena in nature and engineering, inherently driven by both hydrodynamic and thermodynamic non-equilibrium (HNE and TNE) effects. However, the underlying mechanisms governing these non-equilibrium processes remain incompletely understood. In this study, we advance the discrete Boltzmann method (DBM) to adequately capture higher-order non-equilibrium. To reveal the dominant mechanism and offer mutual interpretation between macroscopic and TNE quantities, we derive analytical solutions for distribution functions and TNE measures of various orders via Chapman−Enskog analysis. Using argon shock structures as a case study, the DBM results show agreement with experimental, direct simulation Monte Carlo, and analytical data across two levels: (i) macroscopic interface profiles and thickness, and (ii) mesoscopic-level distribution functions and TNE indicators. Key findings include: (i) a Mach-number-induced two-stage behavior that manifests not only in shock width and smoothness but also in the peak of the distribution function, and (ii) a shift in the compressibility-dominated region from the outflow to inflow side with increasing Mach number. Beyond classical hydrodynamics, we analyze the dominant TNE mechanisms with analysis perspectives including the distribution function, types of TNE quantities, and TNE at different non-equilibrium orders. This study reveals how various orders and types of non-equilibrium effects govern shock wave structure, offering mesoscopic insight into kinetic behavior and laying a theoretical foundation for constructing physically robust non-equilibrium models.

Frontiers of PhysicsVol. 21(5)
Institute of Applied Physics (UA), Guangxi University (CN), Tianjin Chengjian University (CN), Institute of Applied Physics and Computational Mathematics (CN), Criminal Investigation Police University of China (CN)
National Natural Science Foundation of China, Guangxi University
Openalex Percentile: Top 49%
Gas Dynamics and Kinetic Theory
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