Partially-Averaged Navier-Stokes Model for Turbulence: A Reynolds-Averaged Navier-Stokes to Direct Numerical Simulation Bridging Method
By Sharath S. Girimaji. 2006
554 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/712860457c7b5c533619e5fdde040832b510fb75
How researchers see this paper
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In Computational Mechanics
- Heng Xiao
- Karthik Duraisamy
- Jochen Fröhlich
- B. Ji
- Xianwu Luo
- Gianluca Iaccarino
- Yulin Wu
- Xiaoxing Peng
In Environmental Engineering
- Heng Xiao
- Xianwu Luo
- Yunling Duan
- Gianluca Iaccarino
- Jochen Fröhlich
- Christer Fureby
- D. Rizzetta
- Dominic von Terzi
Citations in the corpus
- Large-Eddy Simulation: Current Capabilities, Recommended Practices, and Future Research (2009, methodology): “More recently, the partially averaged Navier–Stokes (PANS) method has been proposed by Girimaji [36], in which a single turbulence model is used, and whether the model is serving as a RANS closure, subgrid-scale model, or somewhere in between is determined by the level of grid resolution and a const”
- Numerical analysis of unsteady cavitating turbulent flow and shedding horse-shoe vortex structure around a twisted hydrofoil (2013, methodology): “Girimaji (2006) noted that the PANS equations are identical to the RANS equations, but with different model coefficients, which enables the PANS model to be easily implemented into computational fluid dynamics (CFD) codes without any significant changes.”
- Hybrid LES/RANS methods for the simulation of turbulent flows (2008, methodology): “With the specific models proposed in [117], the Kt and et equations become formally identical to the original RANS closure.”
- Turbulence Modeling in the Age of Data (2018, background): “ and widespread across dierent industries. Among these, RANS (Reynolds Averaged Navier-Stokes) and LES (Large Eddy Simulation) approaches are the most common, although there exist many alternatives (Girimaji 2006; Spalart 2009). RANS techniques rely completely on modeling assumptions to represent tu”