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11:30
30 mins
Gradient-based Optimization of the Common Research Model Wing Subject to CFD-based Gust and Flutter Constraints
Andrew Thelen, Kevin Jacobson, Bret Stanford
Session: Aeroelastic optimisation 2
Session starts: Tuesday 18 June, 11:00
Presentation starts: 11:30
Room: Room 1.1
Andrew Thelen (NASA Langley Research Center)
Kevin Jacobson (NASA Langley Research Center)
Bret Stanford (NASA Langley Research Center)
Abstract:
The linearized frequency-domain method was recently implemented in the stabilized finite element solver in NASA’s FUN3D code. Previous work by the authors used this method for enforcing flutter constraints during gradient-based optimizations. More recently, the solver was expanded to account for continuous (also known as stochastic) gust responses. This paper expands on recent Common Research Model wing optimization work, which demonstrated gradient-based optimization with flutter and stochastic gust constraints, among others. While that work utilized FUN3D for static aeroelastic solutions but relied on doublet lattice aerodynamics for gust and flutter responses, the present work replaces these unsteady aerodynamic analyses with those of FUN3D’s linearized frequency-domain solver. With analytic derivatives available, gradient-based optimization is performed through the use of the OpenMDAO/MPhys libraries with over 700 shape, structural, and aerodynamic design variables and over 10 nonlinear constraints. Comparisons of analysis results and optimized designs are made between doublet lattice and linearized frequency-domain solutions.