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1993
DOI: 10.1007/bf01414749
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DSMC approach to nonstationary Mach reflection of strong incoming shock waves using a smoothing technique

Abstract: Abstract. The direct simulation Monte Carlo (DSMC)method is applied to simulation of nonstationary Mach reflection of strong shock waves. Normally the DSMC method is very time consuming in solving unsteady flow field problems especially for high Mach numbers, because of the necessity of iterative calculations to eliminate the inherent statistical fluctuation caused by a finite sample size. A centrail weighted smoothing technique is introduced to process the DSMC results, so that the iteration time can be signi… Show more

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Cited by 1 publication
(3 citation statements)
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“…This is because reducing the statistical scatter significantly in time-averaged data necessitates a very large number of simulation particles with consequent large computational times. Other researchers have attempted to use data smoothing to prepare their results for presentation [22], however ultimately this removes data which may have physical significance.…”
Section: Dsmc Rapid Ensemble Averaging Methods (Dream)mentioning
confidence: 99%
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“…This is because reducing the statistical scatter significantly in time-averaged data necessitates a very large number of simulation particles with consequent large computational times. Other researchers have attempted to use data smoothing to prepare their results for presentation [22], however ultimately this removes data which may have physical significance.…”
Section: Dsmc Rapid Ensemble Averaging Methods (Dream)mentioning
confidence: 99%
“…Experimental studies of relatively rarefied flows have been carried out by Walenta [31,32] and comparable simulations using both DSMC and BGK solvers have been carried out by Xu et al [22,33]. At the continuum level, the impingement of a planar Mach 2 shock of ideal air over a 46º wedge is frequently used as a bench mark test for advanced numerical schemes in gas dynamics.…”
Section: Shock Wave Reflection Over a Wedgementioning
confidence: 99%
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