Nonlinear acoustic simulatlions using direct simulation Monte Carlo

被引:13
作者
Danforth, AL [1 ]
Long, LN
机构
[1] Penn State Univ, Grad Program Acoust, University Pk, PA 16802 USA
[2] Penn State Univ, Dept Aerosp Engn & Acoust, University Pk, PA 16802 USA
关键词
D O I
10.1121/1.1785614
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In the simulation of fluid dynamics, one can either treat the fluid as a continuum or as discrete particles. Although popular for acoustics, the continuum model is limited to small Knudsen numbers (the ratio of mean free path to a length scale). Particle methods are necessary for, but not limited to, problems with Knudsen numbers greater than 0.1, which can occur in shockwaves, microdevices, high frequency sound or rarefied gases. Some well known particle methods include Monte Carlo, cellular automata, discrete velocity, lattice Boltzmann, and molecular dynamics. The direct simulation Monte Carlo (DSMC) method describes gas flows through direct physical modeling of particle motions and collisions. DSMC can model problems for the entire range of Knudsen numbers. In particular, DSMC is capable of simulating nonlinear acoustics, as well as the details of viscous dissipation, dispersion, nonequilibrium effects, and other physical properties. A DSMC method has been implemented for one-dimensional nonlinear acoustics problems on parallel computers using object-oriented C++ and the message passing interface (MPI). DSMC results will be shown and compared with continuum theory and continuum simulations. (C) 2004 Acoustical Society of America.
引用
收藏
页码:1948 / 1955
页数:8
相关论文
共 50 条
[21]   Direct Simulation Monte Carlo: The Quest for Speed [J].
Gallis, Michael A. ;
Torczynski, John R. ;
Plimpton, Steven J. ;
Rader, Daniel J. ;
Koehler, Timothy .
PROCEEDINGS OF THE 29TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS, 2014, 1628 :27-36
[22]   Direct Monte Carlo simulation of the ocean surface [J].
Tatarskii, VV .
IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, :2298-2300
[23]   Parallelization of direct simulation of Monte Carlo method [J].
Hua, Rong ;
Fu, You ;
Kang, Jichang .
Jisuanji Gongcheng/Computer Engineering, 2004, 30 (05)
[24]   On an Axisymmetric Direct Simulation Monte Carlo Method [J].
Lo, Ming-Chung ;
Pan, Chien-Yu ;
Wu, Jong-Shinn .
INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2021, 35 (05) :373-387
[25]   The Meshless Direct Simulation Monte Carlo method [J].
Shen, Yi ;
Xu, Xiao ;
Zhang, Jun ;
Liu, Jing ;
Zhang, Zhaoming .
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 481
[26]   Fluctuating Hydrodynamics and Direct Simulation Monte Carlo [J].
Balakrishnan, Kaushik ;
Bell, John B. ;
Donev, Aleksandar ;
Garcia, Alejandro L. .
28TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS 2012, VOLS. 1 AND 2, 2012, 1501 :695-704
[27]   Analysis of discretization in the direct simulation Monte Carlo [J].
Hadjiconstantinou, NG .
PHYSICS OF FLUIDS, 2000, 12 (10) :2634-2638
[28]   Direct simulation Monte Carlo simulation of thermal fluctuations in gases [J].
Bruno, Domenico .
PHYSICS OF FLUIDS, 2019, 31 (04)
[29]   Arbitrary-pressure chemical vapor deposition modeling using direct simulation Monte Carlo with nonlinear surface chemistry [J].
Al-Mohssen, HA ;
Hadjiconstantinou, NG .
JOURNAL OF COMPUTATIONAL PHYSICS, 2004, 198 (02) :617-627
[30]   Direct simulation Monte Carlo calculation: Strategies for using complex initial conditions [J].
Zeifman, MI ;
Garrison, BJ ;
Zhigilei, LV .
MODELING AND NUMERICAL SIMULATION OF MATERIALS BEHAVIOR AND EVOLUTION, 2002, 731 :33-38