Ricardo Vinuesa

Data-Driven Reduced-Complexity Modeling of Fluid Flows: A Community Challenge

We introduce a community challenge designed to facilitate direct comparisons between data-driven methods for compression, forecasting, and sensing of complex aerospace flows. The challenge is organized into three tracks that target these complementary capabilities: compression (c...

Low-dimensional Galerkin projection models for predicting turbulent secondary mean flow in a square duct

The presence of sidewalls in turbulent duct flows leads to the emergence of secondary flow structures in the form of counter-rotating streamwise vortices near the corners (Prandtl’s secondary flow of the second kind). This work develops reduced-order Galerkin projection models th...