Novel Wing Box Design

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Composite materials offer the possibility to tailor a structure to have the desired stiffness distribution. Current aircraft design is yet to fully utilise and exploit these capabilities to improve an aircraft’s performance. In this study, a typical wing box structure is optimised with the aim of achieving a set of target aeroelastic parameters, while minimizing the mass. Focus is given to the model parameterisation to reduce the number of optimisation variables. A number of design variables will be considered and conclusions are drawn based on performance gains. Keywords: Optimisation, Aeroelasticity, Composites, NURBS.

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243-248

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] M.H. Shirk, T.J. Hertz, and T.A. Weisshaar, Aeroelastic Tailoring – Theory, Practice, and Promise, Journal of Aircraft, vol 23, no. 1, pp.6-18, (1986).

DOI: 10.2514/3.45260

Google Scholar

[2] H. Arizono and K. Isogai, Application of genetic algorithm for aeroelastic tailoring of a cranked-arrow wing, Journal of Aircraft, vol. 42, no. 2, pp.493-499, (2005).

DOI: 10.2514/1.392

Google Scholar

[3] M. Kameyama and H. Fukunaga, Optimum design of composite plate wings for aeroelastic characteristics using lamination parameters, Computers & Structures, vol. 85, no. 3, pp.213-224, (2007).

DOI: 10.1016/j.compstruc.2006.08.051

Google Scholar

[4] A. Manan and J. Cooper, Robust Design of Composite Wings for Gust Response, in 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Palm Springs, California, (2009).

DOI: 10.2514/6.2009-2318

Google Scholar

[5] G. A. Vio and J. E. Cooper, Optimisation of Composite Wing Structure for Passive Gust Alleviation, in Aircraft Structural Design, Challenges for the next Generation – Concept to Disposal, Liverpool: Royal Aeronautical Society, (2008).

Google Scholar

[6] D. Locatelli, S. B. Mulani, and R. K. Kapania, Wing-box weight optimization using curvilinear spars and ribs (sparibs), Journal of Aircraft, vol. 48, no. 5, pp.1671-1684, (2011).

DOI: 10.2514/1.c031336

Google Scholar

[7] W. J. Renton, D. Olcott, W. Roeseler, R. Batzer, W. Baron, and A. Velicki, Future of flight vehicle structures (2000 to 2023), Journal of Aircraft, vol. 41, no. 5, pp.986-998, (2004).

DOI: 10.2514/1.4039

Google Scholar

[8] R. Le Riche and R. T. Haftka, Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm, AIAA Journal, vol. 31, no. 5, pp.951-956, (1993).

DOI: 10.2514/3.11710

Google Scholar

[9] N. Kogiso, L. T. Watson, Z. Gürdal, and R. T. Haftka, Genetic algorithms with local improvement for composite laminate design, Structural optimization, vol. 7, no. 4, pp.207-218, (1994).

DOI: 10.1007/bf01743714

Google Scholar

[10] R. Haupt and S. Haupt, Practical genetic algorithms, Second ed. Chichester: Wiley- Interscience, (2004).

Google Scholar

[11] S. N. Sivanandam, S. N Deepa, Introduction to Genetic Algorithms, Springer- Verlag, Berlin, (2008).

Google Scholar

[12] L. A. Peigl and W. Tiller, The NURBS book. Springer Verlag, (1997).

Google Scholar

[13] P. Lavoie, An introduction to NURBS, Tech. Rep., (1999).

Google Scholar

[14] F. Mortensen, Development of tools for engineering analysis and design of high-performance FRP-composite structural elements, Ph.D. dissertation, Aalborg University, Aalborg East, (1998).

Google Scholar

[15] A. E. H. Love, A treatise on the mathematical theory of elasticity. Cambridge University Press, (2013).

Google Scholar

[16] R. Ryan, The Effect of Aeroelastic Tailoring in the Passive Control of Flutter and Divergence of Aircraft Wings, " Master, s thesis, School of Aeronautics and Astronautics Purdue University, West Lafayette, (1983).

Google Scholar

[17] A. Manan, G. A. Vio, M.Y. Harmin, and J. E. Cooper, Optimization of aeroelastic composite structures using evolutionary algorithms, Engineering Optimization, vol. 42(2), 171-184, (2010).

DOI: 10.1080/03052150903104358

Google Scholar