Towards Reduced Order Modeling for Gust Simulations

Abstract

This work gives an overview of the nonlinear reduced order modeling (ROM) approach for unsteady aerodynamics developed by DLR, and its application to gust simulations. Here, physics-based ROMs based on high-fidelity CFD are used to predict approximate aerodynamic solutions in terms of the pressure distribution for different gust wave lengths and amplitudes. High-fidelity simulations computed with DLR's CFD solver TAU serve as training data to build the ROM with DLR's SMARTy toolbox and as a reference for the gust responses predictions. Results are presented for an airfoil and for a generic transport aircraft in transonic flow.