Detailed design of a lattice composite fuselage structure by a mixed optimization method

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@Article{doi:10.1080/0305215X.2015.1125262,

• author = "D. Liu and H. Lohse-Busch and V. Toropov and C. Huehne and U. Armani",
• title = "Detailed design of a lattice composite fuselage structure by a mixed optimization method",
• journal = "Engineering Optimization",
• year = "2016",
• volume = "48",
• number = "10",
• pages = "1707--1720",
• keywords = "genetic algorithms, genetic programming, aircraft fuselage design, topology optimization, lattice structure, metamodel, parametric optimization, Metamodel building, Parameterised finite element model, DoE",
• publisher = "Taylor \& Francis",
• ISSN = "0305-215X",
• URL = "https://ueaeprints.uea.ac.uk/id/eprint/56158/1/Detailed_design_of_a_lattice_composite_fuselage_structure_by_a_mixed_optimization_method_by_D_Liu_final.pdf",
• DOI = "doi:10.1080/0305215X.2015.1125262",
• size = "14 pages",
• abstract = "a procedure for designing a lattice fuselage barrel is developed. It comprises three stages: first, topology optimisation of an aircraft fuselage barrel is performed with respect to weight and structural performance to obtain the conceptual design. The interpretation of the optimal result is given to demonstrate the development of this new lattice airframe concept for the fuselage barrel. Subsequently, parametric optimization of the lattice aircraft fuselage barrel is carried out using genetic algorithms on meta-models generated with genetic programming from a 101-point optimal Latin hypercube design of experiments. The optimal design is achieved in terms of weight savings subject to stability, global stiffness and strain requirements, and then verified by the fine mesh finite element simulation of the lattice fuselage barrel. Finally, a practical design of the composite skin complying with the aircraft industry lay-up rules is presented. It is concluded that the mixed optimization method, combining topology optimization with the global metamodel-based approach, allows the problem to be solved with sufficient accuracy and provides the designers with a wealth of information on the structural behaviour of the novel anisogrid composite fuselage design.",
• notes = "Faculty of Science, University of East Anglia, Norwich, UK",

}

Genetic Programming entries for Dianzi Liu Heike Lohse-Busch Vassili V Toropov Christian Huehne Umberto Armani

Citations