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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
2Embraer S.A., São José dos Campos, São Paulo, Brazil

Full Bibliographic Reference for this paper
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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