A Lagrangian subgrid-scale model with dynamic estimation of Lagrangian time scale for large eddy simulation of complex flows (original) (raw)

The paper presents a novel Lagrangian subgrid-scale model designed for large eddy simulation (LES) of complex flows, particularly focusing on a dynamic estimation of the Lagrangian time scale that does not require adjustable parameters. The approach extends the dynamic Smagorinsky model to an unstructured grid framework, applicable to both inhomogeneous and homogeneous flows. This model is shown to improve accuracy in simulating turbulent channel flow and flow over a cylinder at varying Reynolds numbers, demonstrating significant advantages over traditional Lagrangian models.