journal article·2021-01-01Open access

Mixed modeling for large-eddy simulation: The single-layer and two-layer minimum-dissipation-Bardina models

L. B. Streher, M. H. Silvis, P. Cifani, R. W. C. P. Verstappen

AIP Advances· Volume 11· Issue 1

Abstract

Predicting the behavior of turbulent flows using large-eddy simulation requires a modeling of the subgrid-scale stress tensor. This tensor can be approximated using mixed models, which combine the dissipative nature of functional models with the capability of structural models to approximate out-of-equilibrium effects. We propose a mathematical basis to mix (functional) eddy-viscosity models with the (structural) Bardina model. By taking an anisotropic minimum-dissipation (AMD) model for the eddy viscosity, we obtain the (single-layer) AMD–Bardina model. In order to also obtain a physics-conforming model for wall-bounded flows, we further develop this mixed model into a two-layer approach: the near-wall region is parameterized with the AMD–Bardina model, whereas the outer region is computed with the Bardina model. The single-layer and two-layer AMD–Bardina models are tested in turbulent channel flows at various Reynolds numbers, and improved predictions are obtained when the mixed models are applied in comparison to the computations with the AMD and Bardina models alone. The results obtained with the two-layer AMD–Bardina model are particularly remarkable: both first- and second-order statistics are extremely well predicted and even the inflection of the mean velocity in the channel center is captured. Hence, a very promising model is obtained for large-eddy simulations of wall-bounded turbulent flows at moderate and high Reynolds numbers.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Fluid Dynamics and Turbulent Flows · Model Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen , 9700 AK Groningen, The Netherlands

References (43)

Show source-provided references
1. 2006
2. 2011
3. Evaluation of subgrid-scale models using an accurately simulated turbulent flow10.1017/s002211207900001x ↗
4. J. Bardina, J. H. Ferziger, and W. C. Reynolds, “Improved turbulence models based on large eddy simulation of homogeneous, incompressible, turbulent flows,” Technical Report TF-19, Stanford University, 1983.
5. On the properties of similarity subgrid-scale models as deduced from measurements in a turbulent jet10.1017/s0022112094002296 ↗
6. Statistical geometry of subgrid-scale stresses determined from holographic particle image velocimetry measurements10.1017/s0022112001007443 ↗
7. Roles of non-aligned eigenvectors of strain-rate and subgrid-scale stress tensors in turbulence generation10.1017/s0022112003005299 ↗
8. Improved subgrid-scale models for large-eddy simulation
9. On the modelling of the subgrid-scale and filtered-scale stress tensors in large-eddy simulation10.1017/s0022112001004773 ↗
10. Explicit-filtering large-eddy simulation using the tensor-diffusivity model supplemented by a dynamic Smagorinsky term10.1063/1.1360192 ↗
11. General circulation experiments with the primitive equations10.1175/1520-0493(1963)091<0099:gcewtp>2.3.co;2 ↗
12. D. Kwak, W. C. Reynolds, and J. H. Ferziger, “Three-dimensional time dependent computation of turbulent flows,” Technical Report TF-5, Stanford University, 1975.
13. Direct testing of subgrid-scale models10.2514/3.61313 ↗
14. A dynamic mixed subgrid-scale model and its application to turbulent recirculating flows10.1063/1.858675 ↗
15. A dynamic subgrid-scale eddy viscosity model10.1063/1.857955 ↗
16. A priori tests of a new dynamic subgrid-scale model for finite-difference large-eddy simulations10.1063/1.868779 ↗
17. On the condition of streak formation in a bounded turbulent flow10.1063/1.858306 ↗
18. Scale-similar models for large-eddy simulations10.1063/1.870021 ↗
19. On the formulation of the dynamic mixed subgrid-scale model10.1063/1.868333 ↗
20. Large-eddy simulation of the temporal mixing layer using the Clark model10.1007/s001620050018 ↗
21. A new dynamic two-parameter mixed model for large-eddy simulation10.1063/1.869454 ↗
22. Large-eddy simulation of the turbulent mixing layer10.1017/s0022112097005429 ↗
23. Testing of a new mixed model for LES: The Leonard model supplemented by a dynamic Smagorinsky term
24. Minimum-dissipation models for large-eddy simulation10.1063/1.4928700 ↗
25. When does eddy viscosity damp subfilter scales sufficiently?10.1007/s10915-011-9504-4 ↗
26. Reynolds number effects in a turbulent pipe flow for low to moderate Re10.1063/1.869451 ↗
27. Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach
28. Subgrid scale model for finite difference simulations flows in plane channels and annuli10.1016/0021-9991(75)90093-5 ↗
29. Numerical integration of the three-dimensional Navier-Stokes equations for incompressible flow10.1017/s002211206900084x ↗
30. Galilean invariance of subgrid-scale stress models in the large-eddy simulation of turbulence10.1017/s0022112085001987 ↗
31. W. Rozema, “Low-dissipation methods and models for the simulation of turbulent subsonic flow: Theory and applications,” Ph.D. thesis, University of Groningen, 2015.
32. An approach to wall modeling in large-eddy simulations10.1063/1.870414 ↗
33. A hybrid RANS/LES simulation of turbulent channel flow10.1007/s00162-003-0089-x ↗
34. Highly scalable DNS solver for turbulent bubble-laden channel flow10.1016/j.compfluid.2018.06.008 ↗
35. Symmetry-preserving discretization of turbulent flow10.1016/s0021-9991(03)00126-8 ↗
36. Large-eddy simulation: Current capabilities, recommended practices, and future research10.2514/1.j050232 ↗
37. Grid-point requirements for large eddy simulation: Chapman’s estimates revisited10.1063/1.3676783 ↗
38. Direct numerical simulation of turbulent channel flow up to Reτ = 59010.1063/1.869966 ↗
39. Reynolds number effects on the Reynolds-stress budgets in turbulent channels10.1063/1.3005862 ↗
40. On the comparison of turbulence intensities from large-eddy simulation with those from experiment or direct numerical simulation10.1063/1.1466824 ↗
41. Physical consistency of subgrid-scale models for large-eddy simulation of incompressible turbulent flows10.1063/1.4974093 ↗
42. Low-Reynolds-number effects in a fully developed turbulent channel flow10.1017/s002211209200154x ↗
43. Low-Reynolds-number effects on near-wall turbulence10.1017/s0022112094002466 ↗