Large Eddy Simulation for Incompressible Flows. An Introduction

By Pierre Sagaut. 2001

560 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/eeb4b35879d58c6c9cb8a6586dbd313d2d5975c5

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In Aerospace Engineering

In Computational Mechanics

Citations in the corpus

Turbulence and energy budget in a self-preserving round jet: direct evaluation using large eddy simulation (2009, methodology): “In LES, as reported in detail in the books of Geurts (2004) and Sagaut (2005), the complexity of turbulent flows is reduced by applying a low-pass filtering to the Navier–Stokes equations.”
Automated Solution of Differential Equations by the Finite Element Method: The FEniCS Book (2012, methodology): “One class of methods, Implicit LES (ILES), relies completely on the numerical method to act as a subgrid model, without any additional explicit subgrid model (Sagaut, 2005).”
Quantification of model uncertainty in RANS simulations: A review (2018, methodology): “The SGS stress term represents the interactions between the filtered and resolved scales, which result from the nonlinear, convection term [2].”
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization (2018, methodology): “Spatial filtering of the equations of motion of turbulent fluids is not new and is used in large eddy simulation (Moeng, 1984; Sagaut, 2006).”
Enablers for robust POD models (2009, unknown): “This problem is similar to that of Large Eddy Simulation (LES) [13] of turbulent ﬂows.”
Three-dimensional Large Eddy Simulation of air entrainment under plunging breaking waves (2006, methodology): “Nevertheless, this method gives access to much reliable information about the velocity, acceleration and pressure fields under the broken waves.”