Application of turbulence filters on PCBoom predictions for two NASA flight test campaigns

In preparation for the NASA X-59 community noise tests, the effects of turbulence on predictions of sonic boom levels are studied. This work builds on previous studies by including the effects of turbulence via finite impulse response filters implemented in the PCBoom prediction program. The resulting turbulized sonic boom predictions are compared to measured boom metric levels from previous NASA flight tests: Quiet Supersonic Flights 2018 and Carpet Determination in Entirety Measurements Phase I. To determine the factors driving differences between predictions and measured levels, least absolute shrinkage and selection operator (Lasso) regression is used to create a reduced-order model for each flight test campaign. [Work supported by NASA Langley Research Center through Analytical Mechanics Associates.]