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Data-driven reduced modelling of turbulent Rayleigh–Bénard convection using DMD-enhanced fluctuation–dissipation theorem

Published online by Cambridge University Press:  06 August 2018

M. A. Khodkar  and
Pedram Hassanzadeh Open the ORCID record for Pedram Hassanzadeh [Opens in a new window]
M. A. Khodkar
Affiliation:
Department of Mechanical Engineering, Rice University, Houston, TX, USA
Pedram Hassanzadeh*
Affiliation:
Department of Mechanical Engineering, Rice University, Houston, TX, USA Department of Earth, Environmental, and Planetary Sciences, Rice University, Houston, TX, USA
*
†Email address for correspondence: [email protected]
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Abstract

A data-driven model-free framework is introduced for the calculation of reduced-order models (ROMs) capable of accurately predicting time-mean responses to external forcings, or forcings needed for specified responses, e.g. for control, in fully turbulent flows. The framework is based on using the fluctuation–dissipation theorem (FDT) in the space of a limited number of modes obtained from dynamic mode decomposition (DMD). Use of the DMD modes as the basis functions, rather than the commonly used proper orthogonal decomposition modes, resolves a previously identified problem in applying FDT to high-dimensional non-normal turbulent flows. Employing this DMD-enhanced FDT method ($\text{FDT}_{DMD}$), a linear ROM with horizontally averaged temperature as state vector is calculated for a 3D Rayleigh–Bénard convection system at a Rayleigh number of $10^{6}$ using data obtained from direct numerical simulation. The calculated ROM performs well in various tests for this turbulent flow, suggesting $\text{FDT}_{DMD}$ as a promising method for developing ROMs for high-dimensional turbulent systems.

JFM classification

Nonlinear Dynamical Systems: Low-dimensional models Nonlinear Dynamical Systems: Nonlinear Dynamical Systems Turbulent Flows: Turbulent convection
Type
JFM Rapids
Information
Journal of Fluid Mechanics , Volume 852 , 10 October 2018 , R3
Copyright
© 2018 Cambridge University Press 

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