Galerkin-POD Reduced-Order Modeling of Compressible Flows

Galerkin-POD ROM for Perturbation Analysis and Sparse State Estimation of Compressible flows

Perturbation techniques can provide valuable insights into flow control by identifying sensitive regions. However, performing such analyses with high-fidelity techniques, such as large eddy simulations or direct numerical simulations, can be computationally prohibitive. In this effort, we employ reduced-order modeling (ROM) of compressible Navier-Stokes equations based on the Galerkin-projection and proper orthogonal decomposition (POD) to explore the effect of flow perturbations on the flow. The effect of a perturbation mode with a given spatio-temporal form, in this case plasma-like actuation for concreteness, is introduced into the reduced POD basis. The flow field considered is a two-dimensional lid-driven cavity flow at Mach 0.5 at a post-bifurcation Reynolds number of Re_L = 15,000 based on the cavity length, L. The Galerkin-POD ROM ansatz is also used to present a full flow state estimator for highly sparse data by combining the reduced POD basis with limited/partial probe data. The Galerkin-POD ROM with the flow perturbation analyses and full state estimation yields a promising framework for flow control applications to a wide range of compressible flows.

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