Efficient aeroelastic model updating in support of flight testing
Efficient aeroelastic model updating is developed based upon flight data to better predict the aircraft aeroelastic response at next flight condition, e.g. higher Mach numbers or low altitudes. By incorporating flight test data and using the highest fidelity computational models in reduced order form (i.e. POD, HB, POD combined with HB) we can obtain computational solutions that are the most accurate possible with the current state of the art and do so sufficiently rapidly predict the behavior of aerospace vehicles at the next flight conditions in support of aeroelastic flight testing. Many of the methods that have been developed over the years for simpler aeroelastic models that use, for example, doublet lattice aerodynamics can be adopted for this purpose. However, in this paper we will present new approaches appropriate to high fidelity computational models for aeroelastic model updating in support of aircraft flight testing. Moreover, we will use the available wind tunnel flutter data for the AGARD 445.6 wing for the assessment. The initial study has demonstrated that the new approaches are highly efficient and accurate. Copyright © 2009 by the American Institute of Aeronautics and Astronautics, Inc.
