2005
DOI: 10.2514/1.10468
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Construction of a Unified Continuum/Kinetic Solver for Aerodynamic Problems

Abstract: We describe our progress toward the development of a unified flow solver (UFS) that can automatically separate nonequilibrium and near-equilibrium domains and switch between continuum and kinetic solvers to combine the efficiency of continuum models with the accuracy of kinetic models. Direct numerical solution of the Boltzmann transport equation is used in kinetic regions, whereas kinetic schemes of gas dynamics are used elsewhere. The efficiency and numerical stability of the UFS is attained by using similar… Show more

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Cited by 32 publications
(15 citation statements)
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References 37 publications
(33 reference statements)
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“…This method has been used by Goldstein et al [29], Buet [30], Rogier and Schneider [31], Tan and Varghese [32] and Frolova and co-workers [2]. To illustrate the essence of the method, Fig.…”
Section: The Ntn Methodsmentioning
confidence: 96%
See 2 more Smart Citations
“…This method has been used by Goldstein et al [29], Buet [30], Rogier and Schneider [31], Tan and Varghese [32] and Frolova and co-workers [2]. To illustrate the essence of the method, Fig.…”
Section: The Ntn Methodsmentioning
confidence: 96%
“…The method is briefly described below. For arbitrary potential on intermolecular interactions, it is more convenient to perform integration over collision impact parameters (4) instead of integration over a unit sphere (2). The corresponding integral in the symmetric form with respect to direct and inverse collisions is…”
Section: Tcheremissine's Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…[1] for review). Most researchers applied traditional DSMC methods for rarefied domains and identified statistical noise inherent to the particle methods as an obstacle for coupling kinetic and continuum solvers [2].…”
Section: Introductionmentioning
confidence: 99%
“…The development of hybrid solvers combining kinetic and fluid models has been an important area of research over the last decade (see Refs. [1,2] for reviews). The challenges of developing multi-scale methods are physical and numerical.…”
Section: Introductionmentioning
confidence: 99%