Minimum-dissipation sub-grid models represent simple alternatives to the Smagorinsky-type
approaches to the implementation of sub-grid scales'(SGS) effects in the large-eddy …

In this study, an analytical wake model for predicting the mean velocity field downstream of a
wind turbine under veering incoming wind is systematically derived and validated. The new …

Large eddy simulation (LES) is coupled with a turbine model to study the structure of the
wake behind a vertical-axis wind turbine (VAWT). In the simulations, a tuning-free …

The development and assessment of subgrid-scale (SGS) models for large-eddy simulations
of the atmospheric boundary layer is an active research area. In this study, we compare the …

This paper focuses on the use of reinforcement learning (RL) as a machine-learning (ML)
modeling tool for near-wall turbulence. RL has demonstrated its effectiveness in solving high …