Development of Buffet Forcing Functions Using Frequency-Dependent Coherence Factors

J Michael Ramey; Martin K Sekula; David J Piatak; Patrick S Heaney; Francesco Soranna

NASA NTRS · 20205011087

Development of Buffet Forcing Functions Using Frequency-Dependent Coherence Factors

J Michael Ramey·Martin K Sekula·David J Piatak·Patrick S Heaney·Francesco Soranna

Abstract

The current accepted approach to modeling launch vehicle transonic buffet environments is to acquire time-correlated unsteady pressure measurements at discrete locations on a model-scale wind-tunnel model and use these measurements to develop buffet forcing functions (BFFs). Part of the BFF development process is the application of coherence factors to account for the discrete nature of the pressure measurement used in the development of the BFFs. Presently, the Space Launch System (SLS) program divides the launch vehicle into distinct aerodynamic regions, within which, the coherence lengths are assumed to be constant. The coherence factors are computed by averaging the coherence function between sensors within the region over a specified frequency range. The present work validates and examines the impact of two proposed changes to the development of longitudinal coherence factors used in the development of launch vehicle BFFs. One change is to employ frequency-dependent coherence factors instead of coherence factors based on the mean of the coherence function. The second proposed change replaces the aerodynamic regions with a moving-segment approach that varies the calculated coherence lengths as a function of longitudinal location of the transducers. The impact of these approaches is examined using data from two rigid buffet model wind-tunnel tests: (1) a notional launch vehicle geometry through the comparison of discrete measurement-based BFFs to loads developed by continuous integration of unsteady pressure sensitive paint data and (2) the SLS Block 1 Cargo vehicle configuration for which BFFs have been previously developed using less-mature methods. The trends from this examination of updated coherence factor approaches ultimately result in more intuitive results than currently-accepted coherence methods.

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J Michael Ramey, Martin K Sekula, David J Piatak, Patrick S Heaney, Francesco Soranna. Development of Buffet Forcing Functions Using Frequency-Dependent Coherence Factors. https://ntrs.nasa.gov/citations/20205011087

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