Physics-based Reduced Basis Modelling of Smagorinsky Turbulence Model
Physics-based Reduced Basis Modelling of Smagorinsky Turbulence Model

"Physics-based Reduced Basis Modelling of Smagorinsky Turbulence Model", organizado por CITMAga. Será impartido por Tomás Chacón Rebollo. Universidad de Sevilla.
Data: 14 de febreiro de 2025.
Hora: 11:00 h.
Duración: 1 hora
Lugar: Aula Magna da Facultade de Matemáticas (USC) e online por MS Teams a través do enlace Teams Meeting.
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.