Detailed design of a lattice composite fuselage structure by a mixed optimization method
Created by W.Langdon from
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- @Article{doi:10.1080/0305215X.2015.1125262,
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author = "D. Liu and H. Lohse-Busch and V. Toropov and
C. Huehne and U. Armani",
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title = "Detailed design of a lattice composite fuselage
structure by a mixed optimization method",
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journal = "Engineering Optimization",
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year = "2016",
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volume = "48",
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number = "10",
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pages = "1707--1720",
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keywords = "genetic algorithms, genetic programming, aircraft
fuselage design, topology optimization, lattice
structure, metamodel, parametric optimization,
Metamodel building, Parameterised finite element model,
DoE",
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publisher = "Taylor \& Francis",
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ISSN = "0305-215X",
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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",
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DOI = "doi:10.1080/0305215X.2015.1125262",
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size = "14 pages",
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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.",
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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