Modeling nonequilibrium gas flow based on moment equations
M Torrilhon - Annual review of fluid mechanics, 2016 - annualreviews.org
This article discusses the development of continuum models to describe processes in gases
in which the particle collisions cannot maintain thermal equilibrium. Such a situation typically …
in which the particle collisions cannot maintain thermal equilibrium. Such a situation typically …
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation
Q Lou, X Meng, GE Karniadakis - Journal of Computational Physics, 2021 - Elsevier
The Boltzmann equation with the Bhatnagar-Gross-Krook collision model (Boltzmann-BGK
equation) has been widely employed to describe multiscale flows, ie, from the hydrodynamic …
equation) has been widely employed to describe multiscale flows, ie, from the hydrodynamic …
Macroscopic transport models for rarefied gas flows: a brief review
H Struchtrup, P Taheri - IMA journal of applied mathematics, 2011 - ieeexplore.ieee.org
Efficient modelling of gas microflows requires accurate, yet fast to solve, models. For finite
but moderate Knudsen numbers, extended macroscopic transport equations offer an …
but moderate Knudsen numbers, extended macroscopic transport equations offer an …
[图书][B] Direct modeling for computational fluid dynamics: construction and application of unified gas-kinetic schemes
K Xu - 2014 - books.google.com
Computational fluid dynamics (CFD) studies the flow motion in a discretized space. Its basic
scale resolved is the mesh size and time step. The CFD algorithm can be constructed …
scale resolved is the mesh size and time step. The CFD algorithm can be constructed …
Thermal transport in nano-porous insulation of aerogel: Factors, models and outlook
Thermal transport in nano-porous insulation material of aerogel has recently attracted
increasing attention due to its extreme low thermal conductivity and the broad applications …
increasing attention due to its extreme low thermal conductivity and the broad applications …
Data-driven discovery of governing equations for fluid dynamics based on molecular simulation
The discovery of governing equations from data is revolutionizing the development of some
research fields, where the scientific data are abundant but the well-characterized …
research fields, where the scientific data are abundant but the well-characterized …
A unified gas kinetic scheme with moving mesh and velocity space adaptation
There is great difficulty for direct Boltzmann solvers to simulate high Knudsen number flow
due to the severe steep slope and high concentration of the gas distribution function in a …
due to the severe steep slope and high concentration of the gas distribution function in a …
A novel transient-adaptive subcell algorithm with a hybrid application of different collision techniques in direct simulation Monte Carlo (DSMC)
S Stefanov, E Roohi, A Shoja-Sani - Physics of Fluids, 2022 - pubs.aip.org
A novel hybrid transient adaptive subcell (TAS) direct simulation Monte Carlo (DSMC)
algorithm is proposed to simulate rarefied gas flows in a wide range of Knudsen numbers. It …
algorithm is proposed to simulate rarefied gas flows in a wide range of Knudsen numbers. It …
Investigation of heat and mass transfer in a lid-driven cavity under nonequilibrium flow conditions
B John, XJ Gu, DR Emerson - Numerical Heat Transfer, Part B …, 2010 - Taylor & Francis
Gaseous flow and heat transfer in a lid-driven cavity under nonequilibrium flow conditions is
investigated using the direct simulation Monte Carlo method, from the slip to the free …
investigated using the direct simulation Monte Carlo method, from the slip to the free …
Further acceleration of multiscale simulation of rarefied gas flow via a generalized boundary treatment
The recently-developed general synthetic iterative scheme (GSIS) is efficient in simulating
multiscale rarefied gas flows due to the coupling of mesoscopic kinetic equation and …
multiscale rarefied gas flows due to the coupling of mesoscopic kinetic equation and …