1996
DOI: 10.1006/jcph.1996.0141
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Scalar and Parallel Optimized Implementation of the Direct Simulation Monte Carlo Method

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Cited by 272 publications
(153 citation statements)
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“…The non-uniform inflow conditions for this DSMC simulation are shown in figure 7; dsmcFoam straightforwardly handles non-uniform distributions for the inlet conditions of velocity, temperature and number density. Figure 8 shows the resulting velocity profiles in the boundary layer at x =10 mm; the dsmcFoam solution is compared with the solution using the MONACO DSMC code [20,21] together with the PLIF experimental data [19]. There is reasonable agreement between dsmcFoam and the published data.…”
Section: Benchmark Case C : Non-uniform 2d Hypersonic Flow Over a Flamentioning
confidence: 61%
“…The non-uniform inflow conditions for this DSMC simulation are shown in figure 7; dsmcFoam straightforwardly handles non-uniform distributions for the inlet conditions of velocity, temperature and number density. Figure 8 shows the resulting velocity profiles in the boundary layer at x =10 mm; the dsmcFoam solution is compared with the solution using the MONACO DSMC code [20,21] together with the PLIF experimental data [19]. There is reasonable agreement between dsmcFoam and the published data.…”
Section: Benchmark Case C : Non-uniform 2d Hypersonic Flow Over a Flamentioning
confidence: 61%
“…The Mach 10 Kn = 0.2 cylinder case from [38] is repeated and compared with data from MONACO [19], an established DSMC code. 2.…”
Section: Pdfoam: Verificationmentioning
confidence: 99%
“…The inviscid fluxes are calculated using modified Steger-Warming flux-vector splitting 17 and the viscous derivatives are calculated using centered differencing. The particle regions are solved using MONACO, 18 The procedure for imposing boundary conditions on the DSMC domain was depicted earlier in Fig. 1(b).…”
Section: Numerical Modelsmentioning
confidence: 99%