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MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green’s function method Khodkar, A.; Hassanzadeh, P.; Nabi, S.; Grover, P. TR2018-170 December 29, 2018 Abstract One-Dimensional (1D) Reduced-Order Model (ROM) has been developed for a 3D Rayleigh Benard convection system in the turbulent regime with Rayleigh number Ra = 106. The state vector of the 1D ROM is horizontally averaged temperature. Using the Green’s Function (GRF) method, which involves applying many localized, weak forcings to the system one at a time and calculating the responses using long-time averaged Direct Numerical Simulations (DNS), the system’s Linear Response Function (LRF) has been computed. Another matrix, called the Eddy Flux Matrix (EFM), that relates changes in the divergence of vertical eddy heat fluxes to changes in the state vector, has also been calculated. Using various tests, it is shown that the LRF and EFM can accurately predict the time-mean responses of temperature and eddy heat flux to external forcings, and that the LRF can well predict the forcing needed to change the mean flow in a specified way (inverse problem). The non-normality of the LRF is discussed and its eigen/singular vectors are compared with the leading Proper Orthogonal Decomposition (POD) modes of the DNS data. Furthermore, it is shown that if the LRF and EFM are simply scaled by the square-root of Rayleigh number, they perform equally well for flows at other Ra, at least in the investigated range of 5 x 105 <= Ra <= 1.25 x 106. The GRF method can be applied to develop 1D or 3D ROMs for any turbulent flow, and the calculated LRF and EFM can help with better analyzing and controlling the nonlinear system. Physical Review Fluids This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c Mitsubishi Electric Research Laboratories, Inc., 2018 201 Broadway, Cambridge, Massachusetts 02139
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Page 1: Reduced-order modeling of fully turbulent buoyancy-driven ... · Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green’s function method Khodkar, A.;

MITSUBISHI ELECTRIC RESEARCH LABORATORIEShttp://www.merl.com

Reduced-order modeling of fully turbulent buoyancy-drivenflows using the Green’s function method

Khodkar, A.; Hassanzadeh, P.; Nabi, S.; Grover, P.

TR2018-170 December 29, 2018

AbstractOne-Dimensional (1D) Reduced-Order Model (ROM) has been developed for a 3D RayleighBenard convection system in the turbulent regime with Rayleigh number Ra = 106. The statevector of the 1D ROM is horizontally averaged temperature. Using the Green’s Function(GRF) method, which involves applying many localized, weak forcings to the system one ata time and calculating the responses using long-time averaged Direct Numerical Simulations(DNS), the system’s Linear Response Function (LRF) has been computed. Another matrix,called the Eddy Flux Matrix (EFM), that relates changes in the divergence of vertical eddyheat fluxes to changes in the state vector, has also been calculated. Using various tests, it isshown that the LRF and EFM can accurately predict the time-mean responses of temperatureand eddy heat flux to external forcings, and that the LRF can well predict the forcing neededto change the mean flow in a specified way (inverse problem). The non-normality of the LRFis discussed and its eigen/singular vectors are compared with the leading Proper OrthogonalDecomposition (POD) modes of the DNS data. Furthermore, it is shown that if the LRFand EFM are simply scaled by the square-root of Rayleigh number, they perform equally wellfor flows at other Ra, at least in the investigated range of 5 x 105 <= Ra <= 1.25 x 106.The GRF method can be applied to develop 1D or 3D ROMs for any turbulent flow, andthe calculated LRF and EFM can help with better analyzing and controlling the nonlinearsystem.

Physical Review Fluids

This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy inwhole or in part without payment of fee is granted for nonprofit educational and research purposes provided that allsuch whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi ElectricResearch Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and allapplicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall requirea license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved.

Copyright c© Mitsubishi Electric Research Laboratories, Inc., 2018201 Broadway, Cambridge, Massachusetts 02139

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