Higher temporal accuracy for LES-C turbulence models.
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| Title: | Higher temporal accuracy for LES-C turbulence models. |
|---|---|
| Authors: | Batugedara, Yasasya1 (AUTHOR) bbatuged@mtu.edu, Labovsky, Alexander E.1 (AUTHOR) aelabovs@mtu.edu, Schwiebert, Kyle J.1 (AUTHOR) kjschwie@mtu.edu |
| Source: | Computer Methods in Applied Mechanics & Engineering. Apr2021, Vol. 377, pN.PAG-N.PAG. 1p. |
| Subjects: | Large eddy simulation models, Turbulence, Numerical analysis |
| Abstract: | A new family of turbulence models, Large Eddy Simulation with Correction (LES-C) has been proposed in Labovsky (2020), that reduces the modeling error of LES models by using a predictor–corrector type method, known as defect correction. Here we propose to combine this approach with another predictor–corrector technique, known as deferred correction, to reduce the time discretization error of the LES-C models. The method uses the already existing LES-C structure, adding several terms to the right hand side of the correction step. This allows for the increase in accuracy at virtually no extra computational cost. We perform full numerical analysis and provide several computational tests that demonstrate the effectiveness of the new method. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Methods in Applied Mechanics & Engineering is the property of Elsevier B.V. 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.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 149263994 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Higher temporal accuracy for LES-C turbulence models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Batugedara%2C+Yasasya%22">Batugedara, Yasasya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bbatuged@mtu.edu</i><br /><searchLink fieldCode="AR" term="%22Labovsky%2C+Alexander+E%2E%22">Labovsky, Alexander E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aelabovs@mtu.edu</i><br /><searchLink fieldCode="AR" term="%22Schwiebert%2C+Kyle+J%2E%22">Schwiebert, Kyle J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kjschwie@mtu.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Methods+in+Applied+Mechanics+%26+Engineering%22">Computer Methods in Applied Mechanics & Engineering</searchLink>. Apr2021, Vol. 377, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Large+eddy+simulation+models%22">Large eddy simulation models</searchLink><br /><searchLink fieldCode="DE" term="%22Turbulence%22">Turbulence</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A new family of turbulence models, Large Eddy Simulation with Correction (LES-C) has been proposed in Labovsky (2020), that reduces the modeling error of LES models by using a predictor–corrector type method, known as defect correction. Here we propose to combine this approach with another predictor–corrector technique, known as deferred correction, to reduce the time discretization error of the LES-C models. The method uses the already existing LES-C structure, adding several terms to the right hand side of the correction step. This allows for the increase in accuracy at virtually no extra computational cost. We perform full numerical analysis and provide several computational tests that demonstrate the effectiveness of the new method. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Methods in Applied Mechanics & Engineering is the property of Elsevier B.V. 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.cma.2021.113696 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Large eddy simulation models Type: general – SubjectFull: Turbulence Type: general – SubjectFull: Numerical analysis Type: general Titles: – TitleFull: Higher temporal accuracy for LES-C turbulence models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Batugedara, Yasasya – PersonEntity: Name: NameFull: Labovsky, Alexander E. – PersonEntity: Name: NameFull: Schwiebert, Kyle J. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00457825 Numbering: – Type: volume Value: 377 Titles: – TitleFull: Computer Methods in Applied Mechanics & Engineering Type: main |
| ResultId | 1 |
