Parametric Optimization of a Lattice Aircraft Fuselage Barrel Using Metamodels Built with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Armani_2013,
  author =       "H. Lohse-Busch and C. Huehne and D. Liu and 
                 V. V. Toropov and U. Armani",
  title =        "Parametric Optimization of a Lattice Aircraft Fuselage
                 Barrel Using Metamodels Built with Genetic
                 Programming",
  booktitle =    "Proceedings of the Fourteenth International Conference
                 on Civil, Structural and Environmental Engineering
                 Computing",
  year =         "2013",
  editor =       "B. H. V. Topping and P. Ivanyi",
  pages =        "Paper 230",
  address =      "Cagliari, Italy",
  publisher_address = "Stirlingshire, UK",
  publisher =    "Civil-Comp Press",
  keywords =     "genetic algorithms, genetic programming, composite
                 structure, anisogrid design, finite element simulation,
                 metamodel",
  URL =          "http://www.ctresources.info/ccp/paper.html?id=7563",
  DOI =          "doi:10.4203/ccp.102.230",
  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