Reduced Basis Smagorinsky turbulence models

"Reduced Basis Smagorinsky turbulence models", organizado por CITMAga. Será impartido por Tomás Chacón Rebollo da Universidad de Sevilla.

Data: mércores 17 de xaneiro de 2024.

Hora: 10:00 h.

Duración: 1 hora

Lugar: Aula Magna da Facultade de Matemáticas (USC) e online por MS Teams a través do enlace Teams Meeting. Conferenciante por Teams.

Abstract:

Large Eddy Simulation (LES) turbulence models provide detailed space-time predictions of turbulent flows. However, these models are little used in engineering applications due to very large computing times. Reduced Basis (RB) modeling aims at building very fast solvers for parametric PDEs, with “certified” error levels, typically with computing speed-up ratios ranging from tens to thousands. We address in this talk the building of RB Smagorinsky turbulence models, a LES turbulence model for which the mathematical and numerical analysis is well established. We shall use the so-called “Greedy”
algorithms, based upon mathematical a-priori error estimates, what allows to obtain certified RB models. We shall also use purely physics-based error estimation procedures in the Greedy algorithm, that have the advantage of being model-independent.