Inverse Energy Transfer in Wall-Bounded Turbulence: Insights from Direct Numerical Simulations
Direct Numerical Simulation (DNS) provides detailed insights into turbulence but is computationally prohibitive for many applications. As an alternative, Large-Eddy Simulation (LES) with subgrid-scale (SGS) models offers a more feasible approach, though accurately modeling energy transfer from small to large scales remains challenging. Inverse energy cascades, where energy flows from smaller to larger scales, often occur in strongly anisotropic flows. For example, in turbulent channel flows, significant inverse energy transfer is observed in the near-wall region, yet the mechanisms driving this phenomenon remain poorly understood. In this talk, we will explore inverse energy transfer by focusing on DNS studies of turbulent channel flows across a range of Reynolds numbers. Our investigation aims to illuminate the complex interactions between different scales in wall-bounded turbulence and advance the development of more accurate SGS models for LES.