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
“…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.…”
“…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%
“…The associated high computational expense and large memory requirements mean that investigations in the literature tend to be restricted to one-dimensional problems, such as shock tube flow [21] or the shock waves generated by moving pistons [1]. Two dimensional unsteady problems have been attempted, and one method of decreasing the statistical scatter of the results is to using statistical smoothing procedures [22]. Bird's two-dimensional axisymmetric code DS2V [8] incorporates unsteady sampling techniques in which a number of time intervals close to the sampling point are averaged (usually termed "time-averaging"), however this single processor code is unable to model processes such as PP-CVD with acceptable run-times [23].…”
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 ten 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.
“…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.…”
“…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%
“…The associated high computational expense and large memory requirements mean that investigations in the literature tend to be restricted to one-dimensional problems, such as shock tube flow [21] or the shock waves generated by moving pistons [1]. Two dimensional unsteady problems have been attempted, and one method of decreasing the statistical scatter of the results is to using statistical smoothing procedures [22]. Bird's two-dimensional axisymmetric code DS2V [8] incorporates unsteady sampling techniques in which a number of time intervals close to the sampling point are averaged (usually termed "time-averaging"), however this single processor code is unable to model processes such as PP-CVD with acceptable run-times [23].…”
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 ten 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.
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