APPROXIMATE DECONVOLUTION WITH CORRECTION: A MEMBER OF A NEW CLASS OF MODELS FOR HIGH REYNOLDS NUMBER FLOWS.

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Title: APPROXIMATE DECONVOLUTION WITH CORRECTION: A MEMBER OF A NEW CLASS OF MODELS FOR HIGH REYNOLDS NUMBER FLOWS.
Authors: LABOVSKY, ALEXANDER E.1 aelabovs@mtu.edu
Source: SIAM Journal on Numerical Analysis. 2020, Vol. 58 Issue 5, p3068-3090. 23p.
Subjects: Reynolds number, Benchmark problems (Computer science), Drag coefficient, Turbulence, Large eddy simulation models
Abstract: We propose a new family of models for uid ows at high Reynolds numbers, large eddy simulation with correction (LES-C), that combines a LES approach to turbulence modeling with a defect correction methodology. We investigate, both numerically and theoretically, one of these models, based on the approximate deconvolution model (ADM). The new model, approximate deconvolution with correction, is shown to be stable and higher order accurate with respect to the filtering width. It is shown to outperform its most natural competitor, the ADM, on a variety of benchmark problems. These include the computation of errors (on a problem with known solution), a benchmark problem of finding maximal drag and lift coefficients, ow past the step, and the discussion on Taylor{Green vortex solutions. [ABSTRACT FROM AUTHOR]
Copyright of SIAM Journal on Numerical Analysis is the property of Society for Industrial & Applied Mathematics 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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  Data: APPROXIMATE DECONVOLUTION WITH CORRECTION: A MEMBER OF A NEW CLASS OF MODELS FOR HIGH REYNOLDS NUMBER FLOWS.
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  Data: <searchLink fieldCode="DE" term="%22Reynolds+number%22">Reynolds number</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmark+problems+%28Computer+science%29%22">Benchmark problems (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Drag+coefficient%22">Drag coefficient</searchLink><br /><searchLink fieldCode="DE" term="%22Turbulence%22">Turbulence</searchLink><br /><searchLink fieldCode="DE" term="%22Large+eddy+simulation+models%22">Large eddy simulation models</searchLink>
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  Data: We propose a new family of models for uid ows at high Reynolds numbers, large eddy simulation with correction (LES-C), that combines a LES approach to turbulence modeling with a defect correction methodology. We investigate, both numerically and theoretically, one of these models, based on the approximate deconvolution model (ADM). The new model, approximate deconvolution with correction, is shown to be stable and higher order accurate with respect to the filtering width. It is shown to outperform its most natural competitor, the ADM, on a variety of benchmark problems. These include the computation of errors (on a problem with known solution), a benchmark problem of finding maximal drag and lift coefficients, ow past the step, and the discussion on Taylor{Green vortex solutions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of SIAM Journal on Numerical Analysis is the property of Society for Industrial & Applied Mathematics 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:
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        Value: 10.1137/20M1311600
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 3068
    Subjects:
      – SubjectFull: Reynolds number
        Type: general
      – SubjectFull: Benchmark problems (Computer science)
        Type: general
      – SubjectFull: Drag coefficient
        Type: general
      – SubjectFull: Turbulence
        Type: general
      – SubjectFull: Large eddy simulation models
        Type: general
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      – TitleFull: APPROXIMATE DECONVOLUTION WITH CORRECTION: A MEMBER OF A NEW CLASS OF MODELS FOR HIGH REYNOLDS NUMBER FLOWS.
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              Text: 2020
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              Y: 2020
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              Value: 58
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            – TitleFull: SIAM Journal on Numerical Analysis
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