Abstract—This paper presents a novel design of an anisogrid composite aircraft fuselage by a global metamodel-based optimization approach. A 101-point design of numerical experiments (DOE) has been developed to generate a set of individual fuselage barrel designs and these designs have further been analyzed by the finite element (FE) method. Using these training data, global metamodels of all structural responses of interest have been built as explicit expressions of the design variables using a Genetic Programming approach. Finally, the parametric optimization of the fuselage barrel by genetic algorithm (GA) has been performed to obtain the best design configuration in terms of weight savings subject to stability, global stiffness and strain requirements.
Index Terms—Composite fuselage structure, anisogrid design, genetic programming, metamodel.
D. Liu is with the Faculty of Science, University of East Anglia, Norwich, NR4 7TJ, UK (e-mail: dianzi.liu@uea.ac.uk).
Xue Zhou is with the Faculty of Business, Environment and Society, Coventry University, Coventry, CV1 5FB, UK.
V. V. Toropov is with the School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, UK.
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Cite: Dianzi Liu, Xue Zhou, and Vassili Toropov, "Metamodels for Composite Lattice Fuselage Design," International Journal of Materials, Mechanics and Manufacturing vol. 4, no. 3, pp. 175-178, 2016.
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