6 papers · 1 filter
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…
Multiscale simulation of interacting turbulent and rarefied gas flows in the DSMC framework
Liyan Luo, Songyan Tian, Lei Wu
A multiscale stochastic-deterministic coupling method is proposed to investigate the complex interactions between turbulent and rarefied gas flows within a unified framework. This…
Multiscale simulation of rarefied polyatomic gas flow via DIG method
Liyan Luo, Tao Huang, Qi Li +1
A novel multiscale numerical method is developed to accelerate direct simulation Monte Carlo (DSMC) simulations for polyatomic gases with internal energy. This approach applies the…