8 papers
Parallel simulation of rarefied gas flows on unstructured meshes using the DIG-augmented DSMC method
Tao Huang, Liyan Luo, Hong Deng +1
While the direct simulation Monte Carlo (DSMC) is a mainstream stochastic particle method for simulating rarefied gas flows, it incurs excessively high computational costs in the n…
Efficient simulation of chemical reaction in DSMC
Hong Deng, Liyan Luo, Lei Wu
A macroscopic mesoscopic, deterministic stochastic coupling strategy is proposed to accelerate the direct simulation Monte Carlo (DSMC) method for chemical reaction. First, a macro…
An efficient treatment of heat-flux boundary conditions in GSIS for rarefied gas flows
Yanbing Zhang, Ruifeng Yuan, Liyan Luo +1
Heat-flux boundary conditions are challenging to implement efficiently in rarefied gas flow simulations because the wall-reflected gas temperature and density must be determined dy…
Fast-Converging and Asymptotic-Preserving DSMC
Bin Hu, Liyan Luo, Kaiyuan Wang +1
Improving the efficiency of the direct simulation Monte Carlo (DSMC) method has become increasingly urgent with the rapid development of space exploration. To address this issue, t…
Accelerating the Monte Carlo simulation of the Enskog equation for multiscale dense gas flows
Bin Hu, Liyan Luo, Lei Wu
A general synthetic iterative scheme is proposed to solve the Enskog equation within a Monte Carlo framework. The method demonstrates rapid convergence by reducing intermediate Mon…
Enhancing DSMC simulations of rarefied gas mixtures using a fast-converging and asymptotic-preserving scheme
Liyan Luo, Jianan Zeng, Yanbin Zhang +3
The numerical simulation of rarefied gas mixture dynamics with disparate masses using the direct simulation Monte Carlo (DSMC) method is slow, primarily because the time step is co…