Regularization modeling for large-eddy simulation
By Bernard J. Geurts, Darryl D. Holm. 2002
227 citations recorded by the source corpus.
A new modeling approach for large-eddy simulation (LES) is obtained by combining a "regularization principle" with an explicit filter and its inversion. This regularization approach allows a systematic derivation of the implied subgrid model, which resolves the closure problem. The central role of the filter in LES is fully restored, i.e., both the interpretation of LES predictions in terms of direct simulation results as well as the corresponding subgrid closure are specified by the filter. The regularization approach is illustrated with "Leray-smoothing" of the nonlinear convective terms. In turbulent mixing the new, implied subgrid model performs favorably compared to the dynamic eddy-viscosity procedure. The model is robust at arbitrarily high Reynolds numbers and correctly predicts self-similar turbulent flow development.
Subfields: Computational Mechanics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/97efe5977665263071c223d702aeef25511835c1
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
- Evelyn Lunasin
- Edriss S. Titi
- Darryl D. Holm
- Y. Cao
- Bernard J. Geurts
- Johan Meyers
- Martine Baelmans
- A. Cheskidov
In Environmental Engineering
- Edriss S. Titi
- Evelyn Lunasin
- Y. Cao
- Johan Meyers
- Martine Baelmans
- Bernard J. Geurts
- Fernando Port'e-Agel
Citations in the corpus
- On a Leray–α model of turbulence (2005, background): “Indeed, the LES applications tests for turbulent mixing layers in [2 0], [21], [22] found that the Leraymodel predicted the resolved energy evolution properly, ex hibiting both forward and backward transfer of energy.”
- Database-analysis of errors in Large-Eddy Simulation (2003, methodology): “24 In addition, an important development in subgrid scale modeling arose with the dynamic procedure 25–27 which allows optimization of parameters in subgrid models in accordance with the turbulent flow that is simulated.”
- Global well-posedness of the three-dimensional viscous and inviscid simplified Bardina turbulence models (2006, methodology): “In the numerical simulation of the 3D NS-α model, the authors of [9], [19], [20] and [35] showed that the large scale (to be more specific, those scales of motion bigger than the length scale α) features of a turbulent flow is captured.”