The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 1: Theory and Model Description

By F. Menter, Y. Egorov. 2010

920 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/7430caf135700348d0a15528e3842370374a291a

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

1. H. Montazeri
2. A. Rezaeiha
3. B. Blocken
4. F. Menter
5. Y. Egorov
6. Davor Cokljat
7. R. Lechner
8. Pierre Sagaut

In Environmental Engineering

1. H. Montazeri
2. A. Rezaeiha
3. B. Blocken
4. F. Menter
5. Y. Egorov
6. R. Lechner
7. Davor Cokljat
8. Pierre Sagaut

Citations in the corpus

• The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 2: Application to Complex Flows (2010, methodology): “In a companion article (Menter and Egorov, [15]), the theory and rational behind the Scale-Adaptive Simulation (SAS) methodology is given in detail.”
• A new hybrid recursive regularised Bhatnagar–Gross–Krook collision model for Lattice Boltzmann method-based large eddy simulation (2018, background): “where LVK = |∇u|/|∇2u| can be interpreted as a renormalised extended definition of the von Kármán length scale [42].”
• CFD analysis of dynamic stall on vertical axis wind turbines using Scale-Adaptive Simulation (SAS): Comparison against URANS and hybrid RANS/LES (2019, methodology): “As an intermediate approach between the less accurate commonly used URANS and the high accuracy but computationally expensive hybrid RANS/LES approach, the SAS approach [64,65] is employed.”