Stabilization of Intrusive DMD based Reduced Order Model of the Convection-Diffusion Equations

Document Type : Research Paper

Authors

1 Department of Mechanical Engineering, University of Qom

2 CFD, Turbulence and Combustion Research Lab., Department of Mechanical Engineering, University of Qom

Abstract

Simulation of complex and non-linear dynamical systems needs numerical algorithms which are time-consuming due to hardware limitations. Reduced-order model is the method that could be an alternative approach for simulating complex dynamical systems using some appropriate data from the system responses. Usually, these models are developed based on the dominant features of the desired system. Dynamic mode decomposition is one of the methods for calculating these basis functions. In this study, using this method and based on the concepts of dynamical systems, a reduced-order model has been developed for Burgers equation. Also, due to the incompleteness of the related modal space which is changed to low-dimensional space in order reduction procedure, the dissipation level of the surrogate model is decreased. Therefore, by using an artificial viscosity which is called the eddy viscosity approach, the stability of the model is improved. Eventually, comparing the results obtained by the stabilized reduced order model and direct numerical simulation data, the accuracy of the model with an average error of 0.4% is proven.

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