Toward the simulation of complex 3D shear flows using unsteady statistical turbulence models

Joongcheol Paik, Liang Ge, Fotis Sotiropoulos

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Recent progress in the numerical simulation of complex, 3D incompressible flows with unsteady statistical turbulence models is reviewed. A second-order accurate, overset grid, numerical method is developed for carrying out unsteady Reynolds-averaged Navier-Stokes (URANS) and detached-eddy simulations (DES) of flows in complex multi-connected domains. Results are reported for three test cases: (1) flow in a channel with four bottom-mounted rectangular piers; (2) flow in a channel with a corner-mounted rectangular block; and (3) flow in a strongly curved rectangular bend. Comparisons between the computed results and laboratory measurements and flow visualization experiments lead to the conclusion that even relatively simple turbulence closure models (such as the standard k-ε model or the one-equation Spalart-Allmaras model) can simulate complex, 3D flows dominated by geometry-induced, large-scale instabilities and unsteady coherent structures with reasonable accuracy. The results for the curved duct case further show that exciting and resolving directly with unsteady statistical turbulence models the low-frequency, large-scale, vortical rolls in a concave wall boundary layer is critical prerequisite for simulating the dramatic effects of concave curvature on the structure of turbulence.

Original languageEnglish (US)
Pages (from-to)513-527
Number of pages15
JournalInternational Journal of Heat and Fluid Flow
Volume25
Issue number3
DOIs
StatePublished - Jun 2004

Bibliographical note

Funding Information:
This work was supported by NSF Career grant 9875691, a grant from Georgia DOT, and a grant from Oak Ridge National Laboratory and DOE. We thank Terry W. Sturm for providing the experimental data for the first test case.

Keywords

  • 3D separation
  • Concave wall turbulence
  • DES
  • Overset grids
  • Unsteady RANS

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