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A novel numerical treatment of the near-wall regions in the kω class of RANS models

Journal Article · · International Journal of Heat and Fluid Flow
 [1];  [2];  [3];  [2];  [2];  [2]
  1. Aristotle Univ. of Thessaloniki (Greece); Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States); Argonne National Lab. (ANL), Argonne, IL (United States)

In this study, we discuss a novel approach to modeling the near-wall region in the class of kω to models. The proposed methodology obviates the need for ad hoc boundary conditions of to omega on the wall as typically required in the kω model. The primary motivation of this work is to provide a formulation equivalent to the standard kω to and kω to SST models, but which at the same time overcomes their limitations in the context of their implementation in high-order methods. This is achieved by subtracting the asymptotically known singular behavior of omega at walls. Imposing a grid-dependent value of omega at walls in high-order codes is not straightforward as is demonstrated below and it causes instability as well as accuracy issues. The mathematical formulation of the two novel approaches, termed as the "regularized kω model" and the "regularized kω OJ SST model", is discussed in detail. A consistency and verification study for these two approaches is performed by proving that the regularized models recover the results of the standard models in various canonical problems, such as turbulent channel and pipe flows, and a systematic investigation of convergence, using both p- (polynomial order) as well as h- (grid) refinement is reported. Furthermore, comparisons highlighting the performance of the proposed methods in more complex configurations such as flow over a backward facing step and the turbulent mixing of fluid streams of different temperatures in a T-junction are also presented.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE), Nuclear Energy Advanced Modeling and Simulation (NEAMS)
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1472080
Alternate ID(s):
OSTI ID: 1564431
OSTI ID: 22807539
Journal Information:
International Journal of Heat and Fluid Flow, Journal Name: International Journal of Heat and Fluid Flow Journal Issue: C Vol. 72; ISSN 0142-727X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (3)

Numerical errors at walls: on the sensitivity of RANS models to near-wall cell size journal March 2020
Numerical errors at walls: on the sensitivity of RANS models to near-wall cell size text January 2020
Numerical errors at walls: on the sensitivity of RANS models to near-wall cell size text January 2020

Figures / Tables (20)


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