|Joined Exercise on Aeroelastic Prediction|
|Applied Vehicle Technology|
Aeroelastic Reference-Data Sets, Aeroelastic Testing, Computational Aeroelasticity, Transonic Aeroelasticity Prediction Validation, Wind Tunnel Tests
The Exploratory Team AVT-ET-109, Transonic Aeroelastic Reference Test, examined the possibility of conceiving and completing a wind-tunnel testing activity aimed at advancing computational aeroelasticity capabilities. The conclusion of AVT-ET-109 was that the funding was not readily available, and that an alternative approach would be to thoroughly assess and document the partial experimental databases that already exist and to conduct comparative analyses that would identify more clearly the gaps that exist in the capability of predicting aeroelastic stability. The reliable prediction, testing, and assessment of aeroelastic (fluid-structure) interactions of NATO aircraft are clear requirements to: expand performance; reduce structural weight and save energy; improve safety; increase operability; reduce fatigue & maintenance; reduce the amount of flight testing required for computational validation and vehicle certification.
In order to achieve the goals of the RTO Task Group (RTG), the following primary objectives will be pursued: refine the definition of technical gaps as outlined by technical evaluators of AVT-RSY-152 and AVT-RSM-154, and as expanded by AVT-ET-109; assess existing experimental databases to further assist in identifying the most critical technical needs; document existing databases and technical gaps, assess computational studies that could be beneficial based on those databases in a NATO Technical Report; carry out comparative computational studies of existing databases of value to aeroelastic prediction and further assess existing gaps and uncertainties in the existing capabilities; complete preliminary requirements for additional experimentation; identify funding/resources for such computational studies and/or model design, fabrication and testing.
Technical gaps & uncertainties related to aeroelastic prediction via computational aeroelastic solvers will be defined. These gaps and uncertainties will be investigated through computational comparisons. Existing experimental databases that could contribute to computational validation efforts will be identified; these will be used to further help to isolate the full set of technical needs with respect to aeroelastic prediction. Computational tools will be assessed for suitability for various aeroelastic phenomena.