Compound wall treatment with low‐<i>Re</i> turbulence model

Rahman, Mizanur; Siikonen, Timo

doi:10.1002/fld.2529

Cited by 13 publications

(4 citation statements)

References 35 publications

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“…Since the ww component is not measured in the experiment, the usual approximation k ≈ 3/4(uu + vv) is employed. A closer inspection of the distribution indicates that the present and SA model under-predict the shear stresses at x/h = (14,20), contrary to what the data show. For the same stations, the k profiles predicted by the present model are not in a good agreement with the experimental data.…”

Section: Iiib Asymmetric Plane Diffuser Flowcontrasting

confidence: 85%

“…In principle, with S = W Eq. (14) resembles the approach to enhancing the sensitivity of the turbulence model to streamline curvature that provokes an extra rate of strain in the flow field besides the main strain-rate. Nevertheless, the overwhelming majority of applications of turbulence models is for shear dominated flows, where one-equation model is well suited.…”

Section: Iid Evaluation Of K and ǫmentioning

confidence: 99%

“…Detailed analysis of the model realizability is available elsewhere . [14][15][16][17] The formulation of the model coefficients and associated relevant aspects are discussed in some detail in subsequent sections.…”

Section: Turbulence Modelingmentioning

confidence: 99%

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An Improved Version of One-Equation RAS Turbulence Model

Rahman

Agarwal

Lampinen

et al. 2015

45th AIAA Fluid Dynamics Conference

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An improved version of a recently developed one-equation turbulence model called RAS (Rahman-Agarwal-Siikonen) is proposed to account for the distinct effects of low-Reynolds number (LRN) and wall proximity. The turbulent kinetic energy k and the dissipation rate ǫ are evaluated using the R = (k 2 /ǫ)-transport equation together with the Bradshaw and other empirical relations. The associated coefficients are constructed such as to preserve the anisotropic characteristics of turbulence encountered in non-equilibrium flows. In the current version, several improvements to the original RAS model are made which include the introduction of a nearwall eddy-viscosity damping function. An anisotropic destruction coefficient is used to obtain a faster decaying behavior of turbulence destruction in the outer region of the boundary/shear layer, thereby precluding the free-stream dependency. The source term in the transport equation is independent of the Reynolds stress tensor. A comparative assessment of the improved RAS model with the Spalart-Allmaras (SA) one-equation model and the shear stress transport (SST) k-ω model is provided for welldocumented non-equilibrium turbulent flows.

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Section: Iiib Asymmetric Plane Diffuser Flowcontrasting

confidence: 85%

Section: Iid Evaluation Of K and ǫmentioning

confidence: 99%

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An Improved Version of One-Equation RAS Turbulence Model

Rahman

Agarwal

Lampinen

et al. 2015

45th AIAA Fluid Dynamics Conference

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“…To ensure the realizability in turbulence modeling, a plausible formulation forC μ as suggested in Reference [14] is adopted:…”

Section: Modified Nr (Mnr) Modelmentioning

confidence: 99%

Modified Norris–Reynolds One–Equation Model

Rahman

Taghinia

Islam

et al. 2015

Procedia Engineering

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A modified version of Norris-Reynolds (NR) k-equation turbulence model is proposed to account for the distinct effects of lowReynolds number (LRN) and wall proximity. The turbulent kinetic energy k and the dissipation rate are evaluated using the k-transport equation in conjunction with the Bradshaw and other empirical relations. The eddy-viscosity formulation maintains the positivity of normal Reynolds stresses and preserves the anisotropic characteristics of turbulence in the sense that they are sensitized to rotational and non-equilibrium flows. The modified NR (MNR) model is validated against well-documented flow cases yielding predictions in good agreement with the direct numerical simulation (DNS) and experimental data. Comparisons indicate that the MNR model offers some improvement over the original NR model and competitiveness with the Spalart-Allmaras one-equation model.

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