2016
DOI: 10.1103/physreve.94.023313
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Simplification of the unified gas kinetic scheme

Abstract: The unified gas kinetic scheme (UGKS) is an asymptotic preserving (AP) scheme for kinetic equations. It is superior for transition flow simulation and has been validated in the past years. However, compared to the well-known discrete ordinate method (DOM), which is a classical numerical method solving the kinetic equations, the UGKS needs more computational resources. In this study, we propose a simplification of the unified gas kinetic scheme. It allows almost identical numerical cost as the DOM, but predicts… Show more

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Cited by 28 publications
(12 citation statements)
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References 33 publications
(45 reference statements)
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“…Good agreement between the NCCM and the NSF Tw=290 K. The Knudsen number is defined as the ratio of mean free path to the length of cavity side wall, 1 and the mean free path of gas is evaluated for a hard sphere model. Similar to the previous work [29] …”
Section: Hypersonic Gas Flow In a Low Kn Numbersupporting
confidence: 73%
See 2 more Smart Citations
“…Good agreement between the NCCM and the NSF Tw=290 K. The Knudsen number is defined as the ratio of mean free path to the length of cavity side wall, 1 and the mean free path of gas is evaluated for a hard sphere model. Similar to the previous work [29] …”
Section: Hypersonic Gas Flow In a Low Kn Numbersupporting
confidence: 73%
“…The heat fluxes around the solid surface are given in Figure 6. Good agreement of the results of the NCCM and the DSMC and UGKS (Unified gas-kinetic scheme) methods [29] was observed. These two cases are of a high Kn number and in the region of far-equilibrium states.…”
Section: Hypersonic Gas Flow At a High Kn Numbermentioning
confidence: 62%
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“…Subsequent study [16] addressed the status of the used quantum optical master equation and found similar effects using just a Pauli rate equation, describing the working principle of Scully's model by a purely classical stochastic process (master equation where the coherences decouple from populations was derived after performing a polaron transformation). Recently, another study appeared treating a further refined model numerically, considering also non-Markovian effects due to the coupling of the system to a highly correlated environment [17]. Still, the exact mechanism of the effect remains somewhat unclear which makes it difficult to predict if it will be relevant in other setups and what the essential ingredients of such setups might be.…”
Section: Introductionmentioning
confidence: 99%
“…We now make an analysis of the difference between the reconstructed time-averaged interface distribution functions in the UGKS and DUGKS. Specifically, if physical quantities are assumed to be linearly distributed around the cell, we can obtain the structure off x jk , ξ in UGKS based on the results in [70] as follows,…”
Section: Comparison With the Ugks For Multiscale Flowsmentioning
confidence: 99%