Composite stacking sequence optimization for aeroelastically tailored forward-swept wings
File(s)
Accepted version
Author(s)
Bach, C
Jebari, R
Viti, A
Hewson, RW
Type
Journal Article
Abstract
A method for stacking sequence optimization and aeroelastic tailoring of forward-swept composite wings is presented. It exploits bend-twist coupling to mitigate aeroelastic divergence. The method is intended for estimating possible weight savings in preliminary aircraft design stages. A structural beam model of the composite wingbox is derived from anisotropic shell theory and the governing aeroelastic equations are presented for a spanwise discretized forward swept wing. Optimization of the system to reduce wing mass is undertaken for sweep angles of -35 degrees to 0 degrees and Mach numbers from 0.7 to 0.9. A subset of lamination parameters (LPs) and the number of laminate plies in each pre-defined direction (restricted to0, +/-45 and 90 degrees}) serve as design variables. A bi-level hybrid optimization approach is employed, making use of a genetic algorithm (GA) and a subsequent gradient-based optimizer. Constraints are implemented to match lift requirements and prevent aeroelastic divergence, excessive deformations, airfoil stalling and structural failure. A permutation GA is then used to match specific composite ply stacking sequences to the optimum design variables with a limited number of manufacturing constraints considered for demonstration purposes. The optimization results in positive bend-twist coupling and a reduced structural mass. Results are compared to an uncoupled reference wing with quasi-isotropic layups and with panel thickness alone the design variables. For a typical geometry and a forward sweep of -25 degrees at Mach 0.7, a wingbox mass reduction of 13% was achieved.
Date Issued
2016-05-28
Date Acceptance
2016-04-07
Citation
Structural and Multidisciplinary Optimization, 2016, 55 (1), pp.105-119
ISSN
1615-1488
Publisher
Springer Verlag (Germany)
Start Page
105
End Page
119
Journal / Book Title
Structural and Multidisciplinary Optimization
Volume
55
Issue
1
Copyright Statement
© Springer-Verlag Berlin Heidelberg 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/s00158-016-1477-3
Subjects
09 Engineering
01 Mathematical Sciences
Design Practice & Management
Publication Status
Published