On a certified Smagorinsky reduced basis turbulence model
This work provides a certified reduced-order model for turbulent flow simulations, enabling faster computations for engineers and scientists.
The authors developed a reduced basis Smagorinsky turbulence model for steady flows, achieving a speedup factor larger than 1000 in benchmark 2D flows.
In this work we present a reduced basis Smagorinsky turbulence model for steady flows. We approximate the non-linear eddy diffusion term using the Empirical Interpolation Method, and the velocity-pressure unknowns by an independent reduced-basis procedure. This model is based upon an a posteriori error estimation for Smagorinsky turbulence model. The theoretical development of the a posteriori error estimation is based on previous works, according to the Brezzi-Rappaz-Raviart stability theory, and adapted for the non-linear eddy diffusion term. We present some numerical tests, programmed in FreeFem++, in which we show an speedup on the computation by factor larger than 1000 in benchmark 2D flows.