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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/25800

Title: Implementation of unsteady sampling procedures for the parallel direct simulation Monte Carlo method
Authors: H.M. Cave;K.-C. Tseng;J.-S. Wu;M.C. Jermy;J.-C. Huang;S.P. Krumdieck
Contributors: NTOU:Department of Merchant Marine
國立臺灣海洋大學:商船學系
Keywords: DSMC;Unsteady;Shock tube;Shock impingement;Couette flow;PDSC;DREAM
Date: 2008
Issue Date: 2011-10-20T08:32:29Z
Publisher: Journal of Computational Physics
Abstract: Abstract:An unsteady sampling routine for a general parallel direct simulation Monte Carlo method called PDSC is introduced, allowing the simulation of time-dependent ?ow problems in the near continuum range. A post-processing procedure called DSMC rapid ensemble averaging method (DREAM) is developed to improve the statistical scatter in the results while minimising both memory and simulation time. This method builds an ensemble average of repeated runs over small number of sampling intervals prior to the sampling point of interest by restarting the ?ow using either a Maxwellian distribution based on macroscopic properties for near equilibrium ?ows (DREAM-I) or output instantaneous particle data obtained by the original unsteady sampling of PDSC for strongly nonequilibrium ?ows (DREAM-II). The method is validated by simulating shock tube ?ow and the development of simple Couette ?ow. Unsteady PDSC is found to accurately predict the ?ow ?eld in both cases with signi?cantly reduced run-times over single processor code and DREAM greatly reduces the statistical scatter in the results while maintaining accurate particle velocity distributions. Simulations are then conducted of two applications involving the interaction of shocks over wedges. The results of these simulations are compared to experimental data and simulations from the literature where there these are available. In general, it was found that 10 ensembled runs of DREAM processing could reduce the statistical uncertainty in the raw PDSC data by 2.5–3.3 times, based on the limited number of cases in the present study.
Relation: 227(12), pp.6249-6271
URI: http://ntour.ntou.edu.tw/handle/987654321/25800
Appears in Collections:[商船學系] 期刊論文

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