Abstract
In this work we propose a new approach for the numerical simulation of kinetic equations through Monte Carlo schemes. We introduce a new technique that permits to reduce the variance of particle methods through a matching with a set of suitable macroscopic moment equations. In order to guarantee that the moment equations provide the correct solutions, they are coupled to the kinetic equation through a nonequilibrium term. The basic idea, on which the method relies, consists in guiding the particle positions and velocities through moment equations so that the concurrent solution of the moment and kinetic models furnishes the same macroscopic quantities.
| Original language | English |
|---|---|
| Pages (from-to) | 189-213 |
| Number of pages | 25 |
| Journal | International Journal for Numerical Methods in Fluids |
| Volume | 67 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 20 Sept 2011 |
Keywords
- Boltzmann equation
- Finite volume methods
- Fluid equations
- Hybrid methods
- Monte Carlo methods
- Variance reduction
ASJC Scopus subject areas
- Computational Mechanics
- Mechanics of Materials
- Mechanical Engineering
- Computer Science Applications
- Applied Mathematics