Application of CFD analysis for the detection of buffeting

Detection and analysis of buffeting is a challenging task. This phenomenon can arise in both aerospace and aeronautical applications, characterized by unsteady aerodynamic loads induced by shock-wave dynamics and flow separation with turbulent interactions. This study proposes a high-fidelity numerical approach to analyze these phenomena, using a Large Eddy Simulation (LES) carried out through the in-house code STREAmS, which employs an immersed boundary method to handle complex geometries on cartesian grids. The goal is to characterize the unsteady flow field and surface pressure fluctuations during transonic flight and evaluate the LES framework's predictive capabilities against available reference data. The results capture key flow features such as shock oscillations and large-scale separation structures, offering new insights into the underlying mechanisms responsible for the aerodynamic loading observed. This work contributes to validating LES-based methodologies for aerodynamics, supporting their future application in both design and analysis tasks requiring high-resolution unsteady flow predictions.