| Title | Space-time mesh adaptation for the VMS-Smagorinsky modeling of high Reynolds number flows |
|---|---|
| Authors | Temellini, Erika , Ferro, Nicola , Stabile, Giovanni , DELGADO AVILA, ENRIQUE, Rebollo, Tomas Chacon , Perotto, Simona |
| External publication | No |
| Means | J. Comput. Phys. |
| Scope | Article |
| Nature | Científica |
| JCR Quartile | 1 |
| SJR Quartile | 1 |
| Publication date | 15/09/2025 |
| ISI | 001509639600001 |
| DOI | 10.1016/j.jcp.2025.114123 |
| Abstract | Traditional methods, such as Reynolds-Averaged Navier-Stokes (RANS) equations and Large Eddy Simulations (LES), provide consolidated tools for the numerical approximation of high Reynolds number flows in a wide range of applications-from green energy to industrial design. In general, RANS modeling is practical when the main interest is the time-averaged flow behavior. LES equations offer detailed insights into flow dynamics and a more accurate solution, but the high computational demand necessitates innovative strategies to reduce costs while maintaining precision. In this study, we enhance the Variational MultiScale (VMS)-Smagorinsky LES model by relying on an adaptive discretization strategy in both space and time, driven by a recovery-based a posteriori error analysis. We assess the effectiveness of the approach in capturing flow characteristics across a wide range of Reynolds numbers through benchmark tests. |
| Keywords | LES; VMS-Smagorinsky model; Space-time mesh adaptation; Anisotropic grids; Finite element |
| Universidad Loyola members |