Nonlinear eddy viscosity and algebraic stress models for solving complex turbulent flows
By T. Gatski, T. Jongen. 2000
168 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/d13a18f11d6dd3f6a16e792ebac27265f86a3c50
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Heng Xiao
- Karthik Duraisamy
- Gianluca Iaccarino
- Wei Shyy
- Inanc Senocak
- Emmanuel Guilmineau
- J. Borovsky
- H. Funsten
In Environmental Engineering
- Heng Xiao
- Gianluca Iaccarino
- Emmanuel Guilmineau
- J. Borovsky
- Karthik Duraisamy
- Wei Shyy
- H. Funsten
- Anthony Nouy
In Ocean Engineering
Citations in the corpus
- Computational study of flow around a simplified car body (2008, methodology): “All of them base on the same pressure-strain correlation model, namely the quasi-linear SSG model [15].”
- Role of solar wind turbulence in the coupling of the solar wind to the Earth's magnetosphere (2003, methodology): “When a turbulence model is used in a simulation to represent the affects of turbulence with transport coefficients, the most important coefficient is eddy viscosity, which is an approximation to the Reynolds stress [e.g., Okamoto, 1994; Gatski and Jongen, 2000].”
- Turbulence Modeling in the Age of Data (2018, methodology): “For instance, with the assumption that the Reynolds stress tensor is only a function of the local, averaged velocity gradient tensor, the Cayley-Hamilton theorem can be applied to derive an exact expansion basis (Gatski and Jongen 2000).”
- Dynamics of attached turbulent cavitating flows (2001, background): “In addition to the above-mentioned approaches, there are also proposals based on nonlinear eddy viscosity and algebraic stress models [90], very large eddy simulation [91], and large eddy simulation [92].”