Approximate deconvolution models for a fluid-fluid interaction problem with high Reynolds numbers.

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Title: Approximate deconvolution models for a fluid-fluid interaction problem with high Reynolds numbers.
Authors: Aggul, Mustafa1 (AUTHOR) mustafaaggul@hacettepe.edu.tr, Labovsky, Alexander E.1,2 (AUTHOR) aelabovs@mtu.edu
Source: Computers & Mathematics with Applications. Jul2022, Vol. 117, p113-126. 14p.
Subjects: Reynolds number, Turbulence
Abstract: We propose and investigate three approaches to a fluid-fluid interaction problem with a nonlinear rigid lid condition on the joint boundary when one or both flows are at a high Reynolds number. To do so, we try to combine the Approximate Deconvolution Model of turbulence with a partitioned method of [1] , called the Geometric Averaging. The nonlinear interface condition poses an extra difficulty, as there are different approaches to modeling the Reynolds stresses on the joint boundary of the two flows. We investigate three such approaches; all three models are shown to be quantitatively similar when tested on a model with a manufactured solution. Two of them are proven to be unconditionally stable, and yet it is the third model that clearly outperforms the others in the most computationally appealing case when high Reynolds number flows are modeled on a coarse mesh with large filtering width. [ABSTRACT FROM AUTHOR]
Copyright of Computers & Mathematics with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 157501342
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  Data: Approximate deconvolution models for a fluid-fluid interaction problem with high Reynolds numbers.
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  Data: <searchLink fieldCode="AR" term="%22Aggul%2C+Mustafa%22">Aggul, Mustafa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mustafaaggul@hacettepe.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Labovsky%2C+Alexander+E%2E%22">Labovsky, Alexander E.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> aelabovs@mtu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Mathematics+with+Applications%22">Computers & Mathematics with Applications</searchLink>. Jul2022, Vol. 117, p113-126. 14p.
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We propose and investigate three approaches to a fluid-fluid interaction problem with a nonlinear rigid lid condition on the joint boundary when one or both flows are at a high Reynolds number. To do so, we try to combine the Approximate Deconvolution Model of turbulence with a partitioned method of [1] , called the Geometric Averaging. The nonlinear interface condition poses an extra difficulty, as there are different approaches to modeling the Reynolds stresses on the joint boundary of the two flows. We investigate three such approaches; all three models are shown to be quantitatively similar when tested on a model with a manufactured solution. Two of them are proven to be unconditionally stable, and yet it is the third model that clearly outperforms the others in the most computationally appealing case when high Reynolds number flows are modeled on a coarse mesh with large filtering width. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computers & Mathematics with Applications is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.camwa.2022.04.011
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 113
    Subjects:
      – SubjectFull: Reynolds number
        Type: general
      – SubjectFull: Turbulence
        Type: general
    Titles:
      – TitleFull: Approximate deconvolution models for a fluid-fluid interaction problem with high Reynolds numbers.
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      – PersonEntity:
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            NameFull: Aggul, Mustafa
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            NameFull: Labovsky, Alexander E.
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            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 117
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            – TitleFull: Computers & Mathematics with Applications
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