Numerical computation of internal & external flows: fundamentals of numerical discretization
Numerical computation of internal & external flows: fundamentals of numerical discretization
The solution of the Navier-Stokes equations using Gauss-Seidel line relaxation
Computers and Fluids - In honour of Gino Moretti on the occasion of his 70th birthday
Scalar and parallel optimized implementation of the direct simulation Monte Carlo method
Journal of Computational Physics
Coupling Boltzmann and Navier-Stokes equations by friction
Journal of Computational Physics
Coupling Boltzmann and Navier-Stokes equations by half fluxes
Journal of Computational Physics
An adaptive domain decomposition procedure for Boltzmann and Euler equations
Journal of Computational and Applied Mathematics
Generation of the Chapman-Enskog distribution
Journal of Computational Physics
Coupling of the Boltzmann and Euler equations with automatic domain decomposition
Journal of Computational Physics
Adaptive mesh and algorithm refinement using direct simulation Monte Carlo
Journal of Computational Physics
Hybrid atomistic-continuum formulations and the moving contact-line problem
Journal of Computational Physics
Microsystem design
Statistical simulation of low-speed rarefied gas flows
Journal of Computational Physics
A combined continuum/DSMC technique for multiscale analysis of microfluidic filters
Journal of Computational Physics
A direct simulation method for subsonic, microscale gas flows
Journal of Computational Physics
Algorithm refinement for the stochastic Burgers' equation
Journal of Computational Physics
A particle-particle hybrid method for kinetic and continuum equations
Journal of Computational Physics
Atomistic hybrid DSMC/NEMD method for nonequilibrium multiscale simulations
Journal of Computational Physics
An h-adaptive mesh method for Boltzmann-BGK/hydrodynamics coupling
Journal of Computational Physics
Hybrid atomistic-continuum method for the simulation of dense fluid flows
Journal of Computational Physics
A multiscale kinetic-fluid solver with dynamic localization of kinetic effects
Journal of Computational Physics
Spatially hybrid computations for streamer discharges: II. Fully 3D simulations
Journal of Computational Physics
Fluid simulations with localized boltzmann upscaling by direct simulation Monte-Carlo
Journal of Computational Physics
Hi-index | 31.49 |
A hybrid approach that combines a continuum approach solving the Navier-Stokes equations and a particle method called the information preservation (IP) method is implemented to simulate subsonic, rarefied gas flows accurately and efficiently. The coupling between the continuum and particle approaches relies on a continuum/particle interface, which is investigated in detail. The IP method preserves information at the macroscopic level that allows the continuum approach to directly use the information from the particle region. In order to correctly generate particles from the continuum region, two strategies are proposed. One strategy adopts a Marshak-type condition, which requires many particles in a cell to control the flux fluctuation due to the microscopic motion of particles. In the second strategy, reservoir cells and buffer cells are used, and this is the approach adopted in our general hybrid scheme. The location of the interface is determined using a continuum breakdown parameter. Studies show that the continuum breakdown parameter suggested by Garcia et al. can be used to determine the location of the interface, but the implementation of the interface also affects the location of the interface. Simulation of a flow over a flat plate shows the performance of the hybrid approach and reveals the effects of the cutoff value to a continuum breakdown parameter. This approach is also applied to study the aerodynamics of a micro-scale airfoil, which is very difficult for a single method. The hybrid approach generally spends less computational time than the IP method for rarefied gas flows, and the numerical performance of the hybrid approach depends on the number ratio of continuum cells to particle cells.