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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by:
Paper 148
Uncertainty in the Aeroelastic Stability of Composite Wings using Bayesian Emulators C. Scarth1, P. Sartor1, J.E. Cooper1 and G.H.C. Silva2
1Department of Aerospace Engineering, University of Bristol, United Kingdom
C. Scarth, P. Sartor, J.E. Cooper, G.H.C. Silva, "Uncertainty in the Aeroelastic Stability of Composite Wings using Bayesian Emulators", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 148, 2014. doi:10.4203/ccp.106.148
Keywords: aeroelasticity, composite wing, uncertainty quantification, Bayesian emulator..
Summary
An approach is presented, in this paper, for modelling the effects of uncertain
composite material properties based upon the aeroelastic stability of a composite
wing. The wing is idealised as a thin-walled beam which incorporates the effects of
transverse shear. A Gaussian process is fitted to model outputs using Bayesian
inference, and used as an emulator for the aeroelastic model allowing uncertainty to
be quantified at considerably reduced computational effort. The critical instability
speed is non-smooth and discontinuous; as such, multiple Gaussian processes are
fitted to different regions of the input variable space. Uncertainties are introduced to
the ply orientations and moduli of the top and bottom flanges of the beam and
laminate stiffness terms are used as input variables in order to reduce the number of
emulator inputs to a manageable size. Probability density functions are determined
for a number of example stacking sequence configurations using Monte Carlo
simulation of the emulator. An order of two magnitude reduction in the number of
model runs is achieved for each of the example configurations.
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