Uncertainty Quantification Approaches for Prediction and Validation of Fluid Mechanics Experimental Data and Apparatus Calibration

A generic procedure based on uncertainty quantification isintroduced for verifying and validating the fluid mechanics experimental apparatus, methods and data. In order to dothis, the uncertainty associated with a predicted value of rollmoment and coefficient of roll moment (Cm) is obtainedthrough Monte Carlo simulation, then calibration processfor the apparatus (in this case, for a six-componentaerodynamic balance) is carried out and the uncertaintyassociated with this calibration is obtained, lastly,sensitivity analysis based on Taylor Series Method (TSM)is carried out to find the contribution of each apparatus andparameters in the total uncertainty of the under-test variable,eventually, the results are illustrated and compared and it isshown that this procedure is a reliable approach to controlthe validity of the test in each phase of fluid mechanicsexperimentation.