We present and discuss a particle simulation method for solving the Boltzmann equation which incorporates the variance reduction ideas presented in L. L. Baker and N. G. Hadjiconstantinou [Physics of Fluids 17, 051703 (2005)]. The variance reduction, achieved by simulating only the deviation from equilibrium, results in a significant computational efficiency advantage for low speed flows compared to traditional particle methods such as the direct simulation Monte Carlo (DSMC). More specifically, the proposed method can efficiently simulate arbitrarily small deviations from equilibrium (e.g., low flow speed) at a computational cost that does not scale with the magnitude of the deviation from equilibrium, while maintaining the basic algorithmic structure of DSMC.
Skip Nav Destination
,
Article navigation
April 2007
Letter|
April 12 2007
Low-variance deviational simulation Monte Carlo Available to Purchase
Thomas M. M. Homolle;
Thomas M. M. Homolle
Aeronautics and Astronautics Department,
Massachusetts Institute of Technology
, Cambridge, Massachusetts 02139
Search for other works by this author on:
Nicolas G. Hadjiconstantinou
Nicolas G. Hadjiconstantinou
Mechanical Engineering Department,
Massachusetts Institute of Technology
, Cambridge, Massachusetts 02139
Search for other works by this author on:
Thomas M. M. Homolle
Nicolas G. Hadjiconstantinou
Aeronautics and Astronautics Department,
Massachusetts Institute of Technology
, Cambridge, Massachusetts 02139Physics of Fluids 19, 041701 (2007)
Article history
Received:
January 15 2007
Accepted:
February 16 2007
Citation
Thomas M. M. Homolle, Nicolas G. Hadjiconstantinou; Low-variance deviational simulation Monte Carlo. Physics of Fluids 1 April 2007; 19 (4): 041701. https://doi.org/10.1063/1.2717721
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Phase behavior of Cacio e Pepe sauce
G. Bartolucci, D. M. Busiello, et al.
How to cook pasta? Physicists view on suggestions for energy saving methods
Phillip Toultchinski, Thomas A. Vilgis
Pour-over coffee: Mixing by a water jet impinging on a granular bed with avalanche dynamics
Ernest Park, Margot Young, et al.
Related Content
Variance‐Reduced Direct Simulation Monte Carlo with the Bhatnagar‐Gross‐Krook Collision Operator
AIP Conf. Proc. (May 2011)
Low Variance Particle Simulations of the Boltzmann Transport Equation for the Variable Hard Sphere Collision Model
AIP Conf. Proc. (May 2011)
A Practical Variance Reduced DSMC Method
AIP Conf. Proc. (May 2011)
Low‐variance Deviational Monte Carlo Simulations of Pressure‐driven Flow in Micro‐ and Nanoscale Channels
AIP Conf. Proc. (December 2008)
Gas‐flow Animation by the ‘Piston Effect’ in a Microchannel
AIP Conf. Proc. (September 2011)