Kinetic study of compressible Rayleigh–Taylor instability with time-varying acceleration

Rayleigh–Taylor (RT) instability commonly arises in compressible systems with time-dependent acceleration in practical applications. To capture the complex dynamics of such systems, a two-component discrete Boltzmann method is developed to systematically investigate the compressible RT instability driven by variable acceleration. The simulation results are interpreted from three key perspectives: the density gradient, which characterizes the spatial variation in density; the thermodynamic non-equilibrium strength, which quantifies the system's deviation from local thermodynamic equilibrium; and the non-equilibrium region, which captures the spatial distribution of non-equilibrium behaviors. Notably, the fluid system exhibits rich and diverse dynamic patterns resulting from the interplay of multiple competing physical mechanisms, including RT instability, diffusion, and dissipation effects. Specifically, the amplitude, acceleration period, and phase of the time-varying acceleration play an important role in the evolution of the RT instability. In addition, the phase difference determines whether the RT instability is promoted in the initial stage. These findings provide deeper insight into the evolution and regulation of compressible RT instability under complex driving conditions.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-08-01
DOI
https://doi.org/10.1063/5.0276693
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kinetic study of compressible Rayleigh–Taylor instability with time-varying acceleration

Chuandong Lin, Huilin Lai, Bailing Chen, Hailong Liu et al.
Physics of Fluids
Lattice Boltzmann Simulation Studies
article

Kinetic study of compressible Rayleigh–Taylor instability with time-varying acceleration

Chuandong Lin, Huilin Lai, Bailing Chen, Hailong Liu, Demei Li, Hao Xu
article en

Abstract

Rayleigh–Taylor (RT) instability commonly arises in compressible systems with time-dependent acceleration in practical applications. To capture the complex dynamics of such systems, a two-component discrete Boltzmann method is developed to systematically investigate the compressible RT instability driven by variable acceleration. The simulation results are interpreted from three key perspectives: the density gradient, which characterizes the spatial variation in density; the thermodynamic non-equilibrium strength, which quantifies the system's deviation from local thermodynamic equilibrium; and the non-equilibrium region, which captures the spatial distribution of non-equilibrium behaviors. Notably, the fluid system exhibits rich and diverse dynamic patterns resulting from the interplay of multiple competing physical mechanisms, including RT instability, diffusion, and dissipation effects. Specifically, the amplitude, acceleration period, and phase of the time-varying acceleration play an important role in the evolution of the RT instability. In addition, the phase difference determines whether the RT instability is promoted in the initial stage. These findings provide deeper insight into the evolution and regulation of compressible RT instability under complex driving conditions.

Physics of FluidsVol. 37(8)
Fujian Normal University (CN), Sun Yat-sen University (CN), Laoshan Laboratory, Tsinghua University (CN)
National Natural Science Foundation of China, China Scholarship Council, Humanities and Social Science Fund of Ministry of Education of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 79%
Lattice Boltzmann Simulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.