The current lack of confidence in structural response and life predictions of a vehicle exposed to combined extreme environments for extended durations prevents the USAF from fielding affordable, reliable, and reusable hypersonic platforms. The prohibitive computational cost of high-fidelity, coupled, aerothermoelastic simulation and the inability to fully replicate the high, in-flight, aerodynamic, thermal, and acoustic loads through ground tests poses a significant challenge for assuring the needed confidence in model predictions. The first objective is to enable the quantification uncertainty in coupled multi-physics interactions for fluid-thermal-structural computational models of hypersonic aircraft. The next objective is to propagate and analyze uncertainty for coupled aerothermoelastic predictions to determine the most significant sources of model error. The final objective is to assess prediction confidence for hypersonic aircraft structures, focusing on optimal data collection methods for uncertainty reduction.
Quantifying and Improving Confidence in Model Predictions for Hypersonic Aircraft Structures
2019
32 pages
Report
No indication
English
Aircraft , Laboratory & Test Facility Design & Operation , Fluid Mechanics , Uncertainty , Validation , Experimental design , Predictive modeling , Hypersonic aircraft , Calibration , Probability , Aerothermodynamics , Aerothermoelasticity , Uncertainty quantification , Bayesian techniques , Data-driven , Multi-physics interactions , Fluid-thermal-structural computational models , Tiger (targeted information gain for error reduction) , Aerothermoelastic models , Transitional fluid loading , High-speed flow , Turbulent loading
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