DOI: 10.31274/rtd-180813-13291
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PNS algorithm for solving supersonic flows with upstream influences

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Cited by 5 publications
(6 citation statements)
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“…The TIPNS algorithm has been demonstrated by Miller et al [40,43] to be accurate over the range of flow conditions that are considered in the present study. The accuracy of the turbulent relaxation model in computing turbulent flows was demonstrated in Ref.…”
Section: Transitional Flowmentioning
confidence: 93%
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“…The TIPNS algorithm has been demonstrated by Miller et al [40,43] to be accurate over the range of flow conditions that are considered in the present study. The accuracy of the turbulent relaxation model in computing turbulent flows was demonstrated in Ref.…”
Section: Transitional Flowmentioning
confidence: 93%
“…Modifications to the PNS equations to enable capturing the upstream influence effects lead to the IPNS algorithm developed by Miller et al [43,46]. The IPNS algorithm has the capacity to accurately compute attached or separated supersonic viscous flows with upstream influence.…”
Section: Iterative Pns (Ipns) Algorithmmentioning
confidence: 99%
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“…Recently, a new numerical approach has been developed [1][2][3][4][5] that iteratively solves the parabolized Navier-Stokes (PNS) equations. In this approach, the standard single-sweep PNS method is used to march the solution in the streamwise direction in re gions where there are negligible upstream influences.…”
Section: Numerical Algorithmmentioning
confidence: 99%
“…The IPNS (iterative PNS) algorithm [1][2][3] splits the streamwise flux vector using the Vigneron splitting [6] and can be applied to flows with moderate upstream influences and small streamwise separated regions. The TIPNS (time iterative PNS) algorithm [4,5] splits the streamwise flux vector using the Steger-Warming splitting [7] and may retain the time derivative terms.…”
Section: Two Iterative Pns Algorithms (Called Ipns and Tipns) Have Bementioning
confidence: 99%