Approximate Deconvolution Leray Reduced Order Modeling

Abstract: In the field of reduced order modeling, filtering methods have received significant recent attention for treating poorly performing models as a method of regularization. However, filtering by itself can be susceptible to over-smoothing of generated solutions. We propose new reduced order models that integrate the methods of approximate deconvolution with a goal of balancing accuracy and smoothing properties. The models are tested with particular application to fluid flows simulated by the Navier-Stokes equations.

Last modified: Wed Mar 27 14:12:45 EDT 2024