Improved Near-Wall Flow Prediction Combining Immersed Boundary Method and Data Assimilation

Abstract

The accurate prediction of numerous bulk flow features of unstationary flows such as aerodynamic forces is driven by the precise representation of localized near-wall dynamics. Thus, the improvement in the prediction of near-wall flow features is a central target for the development of new investigative tools in Computational Fluid Dynamics (CFD).