Compressibility, Turbulence and High Speed Flow
By T. Gatski, J. Bonnet. 2009
157 citations recorded by the source corpus.
Subfields: Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/e852406da234cb2938f82a484bec5b84a7a1c4b7
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In Computational Mechanics
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Citations in the corpus
- Unsteady effects of strong shock-wave/boundary-layer interaction at high Reynolds number (2017, background): “The strength of the wake component increases with increasing momentum thickness Reynolds number and remains nearly constant above a value of approximately 6000 (Coles 1962; Smits & Dussauge 2006; Gatski & Bonnet 2009).”
- Scale decomposition in compressible turbulence (2010, background): “2). 4 There were other factors in Favre’s choice of \Methode hBi," as he termed it, including a simpler form of the resultant equations, and applicability to experimental measurements (e.g. see Gatski and Bonnet (2009) for an overview). 8 There are two comments we would like to make concerning ”
- Reynolds and Mach number effects in compressible turbulent channel flow (2016, methodology): “Most early studies were based on experimental approaches, as thoroughly reviewed by Bradshaw [4], Smits and Dussauge [5], Gatski and Bonnet [6].”
- A generalized Reynolds analogy for compressible wall-bounded turbulent flows (2013, unknown): “…1932), SRA (1962), and extended SRA (1974) Owing to Young’s work in 1951 (Howarth 1953; Spina, Smits & Robinson 1994), the energy equation can be written in the form of total enthalpy (Gatski & Bonnet 2009): ρ̄ū∂xH̄ + ρ̄v̄∂yH̄ = ∂y[(µ̄/Pr)∂yH̄ − ρH′v′] + ∂y[µ̄(1− 1/Pr)∂y(ūiūi/2− u′iu′i/2)].”
- Turbulence in supersonic boundary layers at moderate Reynolds number (2011, background): “The thermodynamic fluctuations, especially those of the density field, are useful in turbulence modelling, since they appear in many unclosed terms of the Reynolds-average Navier–Stokes equations, representing the net contribution of mass flux (Gatski & Bonnet 2009).”