Parametric Optimization of a Lattice Aircraft Fuselage Barrel Using Metamodels Built with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Armani_2013,
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author = "H. Lohse-Busch and C. Huehne and D. Liu and
V. V. Toropov and U. Armani",
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title = "Parametric Optimization of a Lattice Aircraft Fuselage
Barrel Using Metamodels Built with Genetic
Programming",
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booktitle = "Proceedings of the Fourteenth International Conference
on Civil, Structural and Environmental Engineering
Computing",
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year = "2013",
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editor = "B. H. V. Topping and P. Ivanyi",
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pages = "Paper 230",
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address = "Cagliari, Italy",
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publisher_address = "Stirlingshire, UK",
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publisher = "Civil-Comp Press",
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keywords = "genetic algorithms, genetic programming, composite
structure, anisogrid design, finite element simulation,
metamodel",
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URL = "http://www.ctresources.info/ccp/paper.html?id=7563",
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DOI = "doi:10.4203/ccp.102.230",
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abstract = "In the EU FP7 collaborative research programme ALaSCA
(Advanced Lattice Structures for Composite Airframes),
the novel design of an anisogrid composite fuselage
section has been optimized using topology optimization
with respect to weight and structural performance.
According to the concept of an extended uniform LATIN
hypercube design of numerical experiments (DOE), a
101-point DOE has been developed. Each data point
represents a set of the geometric fuselage barrel
parameters, which are simulated using finite element
(FE) method. Using these training data sets, the global
metamodels have been built as explicit expressions of
the design parameters using genetic programming (GP).
This was followed by the parametric optimization of the
fuselage barrel by genetic algorithm (GA) to obtain the
best design configuration in terms of weight savings
subject to stability, strength and strain requirements.
The optimal solution has been verified using the finite
element simulation of the lattice fuselage barrel and
the true structural responses have been compared to
those provided by the metamodels. It is concluded that
the use of the global metamodel-based approach has
enabled the solution of this optimization problem with
sufficient accuracy as well as provided the designers
with a wealth of information on the structural
behaviour of the novel anisogrid design of a composite
fuselage.",
- }
Genetic Programming entries for
Heike Lohse-Busch
Christian Huehne
Dianzi Liu
Vassili V Toropov
Umberto Armani
Citations