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    A General Strategy to Extend Turbulence Models to Rough Surfaces: Application to Smith’s k-L Model

    Source: Journal of Fluids Engineering:;2007:;volume( 129 ):;issue: 010::page 1245
    Author:
    B. Aupoix
    DOI: 10.1115/1.2776960
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A general procedure to extend turbulence models to account for wall roughness, in the framework of the equivalent sand grain approach, is proposed. It is based on the prescription of the turbulent quantities at the wall to reproduce the shift of the logarithmic profile and hence provide the right increase in wall friction. This approach was previously applied to Spalart and Allmaras one equation (1992, “ A One-Equation Turbulence Model for Aerodynamic. Flows,” 30th Aerospace Sciences Meeting and Exhibit, Reno, NV, AIAA paper No. 92-0439;1994, ibid, Rech. Aerosp.1, pp. 5–21). Here, the strategy is detailed and applied to Smith’s two-equation k-L model (1995, “ Prediction of Hypersonic Shock Wave Turbulent Boundary Layer Interactions With The k-l Two Equaton Turbulence Model,” 33rd Aerospace Sciences Meeting and Exhibit, Reno, NV, Paper No. 95-0232). The final model form is given. The so-modified Spalart and Allmaras and Smith models were tested on a large variety of test cases, covering a wide range of roughness and boundary layer Reynolds numbers and compared with other models. These tests confirm the validity of the approach to extend any turbulence model to account for wall roughness. They also point out the deficiency of some models to cope with small roughness levels as well as the drawbacks of present correlations to estimate the equivalent sand grain roughness.
    keyword(s): Surface roughness AND Flow (Dynamics) ,
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      A General Strategy to Extend Turbulence Models to Rough Surfaces: Application to Smith’s k-L Model

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    contributor authorB. Aupoix
    date accessioned2017-05-09T00:24:00Z
    date available2017-05-09T00:24:00Z
    date copyrightOctober, 2007
    date issued2007
    identifier issn0098-2202
    identifier otherJFEGA4-27274#1245_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/135909
    description abstractA general procedure to extend turbulence models to account for wall roughness, in the framework of the equivalent sand grain approach, is proposed. It is based on the prescription of the turbulent quantities at the wall to reproduce the shift of the logarithmic profile and hence provide the right increase in wall friction. This approach was previously applied to Spalart and Allmaras one equation (1992, “ A One-Equation Turbulence Model for Aerodynamic. Flows,” 30th Aerospace Sciences Meeting and Exhibit, Reno, NV, AIAA paper No. 92-0439;1994, ibid, Rech. Aerosp.1, pp. 5–21). Here, the strategy is detailed and applied to Smith’s two-equation k-L model (1995, “ Prediction of Hypersonic Shock Wave Turbulent Boundary Layer Interactions With The k-l Two Equaton Turbulence Model,” 33rd Aerospace Sciences Meeting and Exhibit, Reno, NV, Paper No. 95-0232). The final model form is given. The so-modified Spalart and Allmaras and Smith models were tested on a large variety of test cases, covering a wide range of roughness and boundary layer Reynolds numbers and compared with other models. These tests confirm the validity of the approach to extend any turbulence model to account for wall roughness. They also point out the deficiency of some models to cope with small roughness levels as well as the drawbacks of present correlations to estimate the equivalent sand grain roughness.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA General Strategy to Extend Turbulence Models to Rough Surfaces: Application to Smith’s k-L Model
    typeJournal Paper
    journal volume129
    journal issue10
    journal titleJournal of Fluids Engineering
    identifier doi10.1115/1.2776960
    journal fristpage1245
    journal lastpage1254
    identifier eissn1528-901X
    keywordsSurface roughness AND Flow (Dynamics)
    treeJournal of Fluids Engineering:;2007:;volume( 129 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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