Journal of Thermophysics and Heat Transfer · 2020 · 12 citations · 34 references
EngineeringAerospace EngineeringMechanical EngineeringComputational Fluid DynamicsHeat TransferUncertainty QuantificationCalibrationMeasurement UncertaintyModel CalibrationParameter Estimation Under UncertaintySensitivity AnalysisUncertainty AnalysisCalibration UncertaintyCalibration Uncertainty AnalysisComputational Fluid Dynamics ValidationInput Uncertainty AnalysisPrediction Uncertainty QuantificationProbabilistic Uncertainty AnalysisProbe CalibrationStagnation Points
This paper presents an uncertainty analysis of the stagnation-point calibration probe surface predictions for conditions that span the performance envelope of the Hypersonic Materials Environmental Test System facility located at NASA Langley Research Center. A second-order stochastic expansion was constructed over 47 uncertain parameters to evaluate the sensitivities, identify the most significant uncertain variables, and quantify the uncertainty in the stagnation-point heat flux and pressure predictions of the calibration probe for low- and high-enthalpy test conditions. A sensitivity analysis showed that measurement bias uncertainty is the most significant contributor to the stagnation-point pressure and heat flux variance for the low-enthalpy condition. For the high-enthalpy condition, a paradigm shift in sensitivities revealed the computational fluid dynamics model input uncertainty as the main contributor. A comparison between the prediction and measurement of the stagnation-point conditions under uncertainty showed that there was evidence of statistical disagreement. A validation metric was proposed and applied to the prediction uncertainty to account for the statistical disagreement when compared with the possible stagnation-point heat flux and pressure measurements.
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