Overview of a database for reduced-complexity modeling of fluid flows

Reduced-complexity models have proven valuable for analyzing, understanding, and controlling fluid flows. Often, these models require data as an a priori input or as an a posteriori point of comparison. This presentation provides an overview of a new publicly accessible database, developed as an initiative of the AIAA Reduced-Complexity Modeling Discussion Group, specifically designed to aid in the conception, training, demonstration, evaluation, and comparison of reduced-complexity models for fluid mechanics [1]. The database contains time-resolved data for six distinct datasets: a large eddy simulation of a turbulent jet, direct numerical simulations of a zero-pressure-gradient turbulent boundary layer, particle-image-velocimetry measurements for the same boundary layer at several Reynolds numbers, direct numerical simulations of laminar stationary and pitching flat-plate airfoils, particle-image-velocimetry and force measurements of an airfoil encountering a gust, and a large eddy simulation of the separated, turbulent flow over an airfoil. Our vision is that the common testbed provided by the database will aid the fluid mechanics community in clarifying the distinct capabilities of new and existing reduced-complexity modeling methods.

[1] Towne, A., Dawson, S.T.M., Brès, G.A, Lozano-Durán, A., Saxton-Fox, T., Parthasarathy, A., Jones, A.R., Biler, H., Yeh, C.-A. Patel, H.D., Taira, K. (2023). A Database for Reduced-Complexity Modeling of Fluid Flows. AIAA Journal, 61 (7), 2867-2892.