A dynamic subgrid-scale modeling framework for Boussinesq turbulence. (May 2017)

• Record Type: Journal Article
• Authors: Maulik, Romit; San, Omer
• Is Part Of: International journal of heat and mass transfer. Volume 108:Part B(2017)
• Page Start: 1656
• Page End: 1675
• Publication Date: 2017-05
• Subjects: Approximate deconvolution -- Dynamic model -- Rayleigh-Bénard convection -- Large eddy simulation -- Boussinesq turbulence; Heat -- Transmission -- Periodicals; Mass transfer -- Periodicals; Chaleur -- Transmission -- Périodiques; Transfert de masse -- Périodiques; Electronic journals; 621.4022
• DOI: 10.1016/j.ijheatmasstransfer.2017.01.028
• Languages: English
• ISSNs: 0017-9310

Abstract

Highlights: A dynamic model based on the approximate deconvolution is proposed for Boussinesq turbulence. The robustness of the model has been tested by considering the Rayleigh-Bénard turbulent thermal convection problem. It is shown that the proposed model could be a viable tool for subgrid-scale parameterizations in Boussinesq flows. Abstract: A modular dynamic subgrid-scale modeling framework is presented for large eddy simulation of two-dimensional Boussinesq turbulence. The procedure we put forth in this study allows us to couple the structural subgrid-scale parameterization models with the functional models by minimizing the error between them. In particular, the approximate deconvolution procedure is used to estimate the Smagorinsky and Baldwin-Lomax eddy viscosity constants and the associated turbulent Prandtl numbers self-adaptively from the resolved flow quantities. Our numerical assessments for solving the Rayleigh-Bénard turbulent thermal convection problem show that the proposed approach could be used as a viable tool to address the turbulence closure problem for the Boussinesq setting due to its accuracy and flexibility.