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BOUNDARY TREATMENT AND AN EFFICIENT PRESSURE ALGORITHM FOR INTERNAL TURBULENT FLOWS USING THE PDF METHOD
Author(s) -
Mazumder Sandip,
Modest Michael F.
Publication year - 1997
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/(sici)1097-0363(19970130)24:2<215::aid-fld493>3.0.co;2-4
Subject(s) - turbulence , mechanics , reynolds stress , boundary layer , reynolds number , open channel flow , mathematics , flow (mathematics) , pipe flow , physics , classical mechanics
The generalized Langevin model, which is used to model the motion of stochastic particles in the velocity–composition joint probability density function (PDF) method for reacting turbulent flows, has been extended to incorporate solid wall effects. Anisotropy of Reynolds stresses in the near‐wall region has been addressed. Numerical experiments have been performed to demonstrate that the forces in the near‐wall region of a turbulent flow cause the stochastic particles approachi ng a solid wall to reverse their direction of motion normal to the wall and thereby, leave the near‐wall layer. This new boundary treatment has subsequently been implemented in a full‐scale problem to prove its validity. The test problem considered here is that of an isothermal, non‐reacting turbulent flow in a two‐dimensional channel with plug inflow and a fixed back‐pressure. An efficient pressure correction method, developed in the spirit of the PISO algorithm, has been implemented. The pressure correction strategy is easy to implement and is completely consistent with the time‐ marching scheme used for the solution of the Lagrangian momentum equations. The results show remarkable agreement with both k –ϵ and algebraic Reynolds stress model calculations for the primary velocity. The secondary flow velocity and the turbulent moments are in better agreement with the algebraic Reynolds stress model predictions than the k – ϵ predictions. © 1997 by John Wiley & Sons, Ltd.