Aeroelastic Tailoring of Composite Wing Design Using Bee Colony Optimisation

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Bee Colony Optimisation (BCO) method is used to optimise the fibre orientation of a simple rectangular composite wing with respect to maximising flutter/divergence speed. A modified implementation is proposed to provide a suitable version of BCO algorithm for solving the multi-variable optimisation problem. 50 test cases are performed and the statistical investigation is made in order to investigate the effectiveness and robustness of the proposed algorithm. Consideration is also made in terms of the best weightage of the minimum confident parameter. The overall results indicate that the modified BCO algorithm offers outstanding performance in terms of both accuracy and computational time.

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Periodical:

Edited by:

R. Varatharajoo, F.I. Romli, K.A. Ahmad, D.L. Majid and F. Mustapha

Pages:

182-188

Citation:

T. K. Jun et al., "Aeroelastic Tailoring of Composite Wing Design Using Bee Colony Optimisation", Applied Mechanics and Materials, Vol. 629, pp. 182-188, 2014

Online since:

October 2014

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[1] Shirk, M. H., Hertz, T. J., Weisshaar, T. A., Aeroelastic Tailoring - Theory, Practice, and Promise, " J. Aircraft, Vol. 23, No. 1, Jan. 1986, pp.6-18.

DOI: https://doi.org/10.2514/3.45260

[2] Munk, M. M., Propeller Containing Diagonal Disposed Fibrous Material, U. S. Patent 2, 484, 308, 1111, Oct. (1949).

[3] Karaboga, D. (2005). An Idea Based on Honey Bee Swarm for Numerical Optimization. Technical Report-TR06, October, 2005. Erciyes University.

[4] Pham, D. T., et. al. (2006). The Bees Algorithm – A Novel Tool for Complex Optimisation Problems. Manufacturing Engineering Centre, Cardiff University, Cardiff CF24 3AA, UK.

[5] A. Mirzakhani Nafchiet. al. Solving Engineering Optimization Problems using The Bees Algorithm. 2011 IEEE Colloquium on Humanities, Science and Engineering Research (CHUSER 2011), Dec 5-6 2011, Penang.

DOI: https://doi.org/10.1109/chuser.2011.6163708

[6] S. N. Omar, et. al. (2009). Artificial Bee Colony (ABC) for Multi-Objective Design Optimization of Composite Structures. Applied Soft Computing 11. (2011) 489-499.

[7] A. Mananet. al. (2010). Optimization of Aeroelastic Composite Structures using Evolutionary Algorithms. Engineering Optimization. Vol. 42, No 2, February 2010, 171-184.

[8] M.Y. Harmin, J. E. Cooper, Aeroelastic Tailoring Using Ant Colony Optimisation, 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 4-7 May 2009, Palm Springs, California.

DOI: https://doi.org/10.2514/6.2009-2194

[9] J.R. Wright, J.E. Cooper. Introduction to Aircraft Aeroelasticity and Loads (Aerospace Series (PEP). 524 (Wiley: 2008).

[10] Al-Obeid, A. and Cooper, J.E. (1995). A Rayleigh-Ritz Approach for the Estimation of the Dynamic Properties of Symmetric Composite Plates with General Boundary Conditions. Composites Science and Technology 53, 289-299.