Higher temporal accuracy for LES-C turbulence models

Yasasya Batugedara; Alexander E. Labovsky; Kyle J. Schwiebert

doi:10.1016/j.cma.2021.113696

Higher temporal accuracy for LES-C turbulence models

Yasasya Batugedara, Alexander E. Labovsky, Kyle J. Schwiebert

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Article number	113696
Journal	Computer Methods in Applied Mechanics and Engineering
Volume	377
DOIs	https://doi.org/10.1016/j.cma.2021.113696
State	Published - Apr 15 2021
Externally published	Yes

Keywords

Approximate deconvolution
Defect correction
Deferred correction
Large Eddy Simulation
Turbulence model

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10.1016/j.cma.2021.113696

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title = "Higher temporal accuracy for LES-C turbulence models",

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.",

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T1 - Higher temporal accuracy for LES-C turbulence models

AU - Batugedara, Yasasya

AU - Labovsky, Alexander E.

AU - Schwiebert, Kyle J.

PY - 2021/4/15

Y1 - 2021/4/15

N2 - 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.

AB - 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.

KW - Approximate deconvolution

KW - Defect correction

KW - Deferred correction

KW - Large Eddy Simulation

KW - Turbulence model

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DO - 10.1016/j.cma.2021.113696

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VL - 377

JO - Computer Methods in Applied Mechanics and Engineering

JF - Computer Methods in Applied Mechanics and Engineering

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ER -

Higher temporal accuracy for LES-C turbulence models

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Keywords

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