2008
DOI: 10.1007/s00162-008-0076-3
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A return toward equilibrium in a 2D Rayleigh–Taylor instability for compressible fluids with a multidomain adaptive Chebyshev method

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Cited by 26 publications
(16 citation statements)
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“…RTI is encountered in a variety of contexts, such as combustion, inertial-confinement fusion, supernova explosions, and geophysics. Simulations of the compressible RTI are quite common (e.g., see Table 1 of [11] for a list of compressible RTI investigations and other references therein). Furthermore, in a variety of such simulations the Mach number is typically low (O(0.1) or less).…”
Section: Rayleigh-taylor Testmentioning
confidence: 99%
“…RTI is encountered in a variety of contexts, such as combustion, inertial-confinement fusion, supernova explosions, and geophysics. Simulations of the compressible RTI are quite common (e.g., see Table 1 of [11] for a list of compressible RTI investigations and other references therein). Furthermore, in a variety of such simulations the Mach number is typically low (O(0.1) or less).…”
Section: Rayleigh-taylor Testmentioning
confidence: 99%
“…For whatever reasons, a brief literature survey reveals that a large number of multicomponent NavierStokes simulations omit the enthalpy diffusion term in the energy equation. [21][22][23][24][25][26][27][28][29][30] Here we refer to a Navier-Stokes simulation as any solver that includes viscous, conductive, and diffusive terms, even if those terms represent turbulence models, rather than molecular processes. The primary objective of this paper is to demonstrate some of the errors that can result from neglecting the enthalpy diffusion term and identify some situations in which the term is critically important.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Reckinger et al [27] examined single-mode, 2D RTI growth rates for a range of stratification strengths, and Gauthier [15] performed a comprehensive study of the dynamics of multimode, three-dimensional (3D) RTI for a relatively strongly stratified case. Both of these more recent studies employed variable-resolution numerical methods to achieve high Reynolds numbers within the context of fully compressible DNS; Reckinger et al [27] used the parallel adaptive wavelet collocation method (PAWCM) [28] and Gauthier [15] used an auto-adaptive multi-domain Chebyshev-Fourier method [29]. Using currently available computational resources, these and other adaptive techniques are unavoidable when performing fully compressible DNS at high Reynolds numbers.…”
Section: Introductionmentioning
confidence: 99%