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Multi-dimensional design optimisation of laminated structures using an improved genetic algorithm

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dc.contributor.author Tabakov, Pavel Y.
dc.date.accessioned 2011-08-01T07:44:09Z
dc.date.available 2011-08-01T07:44:09Z
dc.date.issued 2001
dc.identifier.citation Elsevier en_US
dc.identifier.uri http://hdl.handle.net/10321/643
dc.description Originally published in: Composite Structures, Vol. 54, No. 2-3, 2001. en_US
dc.description.abstract The present study demonstrates a new variation of the genetic algorithm (GA) technique for engineering applications. This approach is highly efficient for many classes of engineering problems. The proposed selection of the best individuals and localised search makes the search more effective and rapidly improves the fitness value from generation to generation. Both continuous and discrete design variables are considered, and a comparative analysis of the performance of the algorithm is studied. The evaluation of the burst pressure of thick composite pressure vessels based on three-dimensional stress–strain analysis is considered here as an example. Exact elasticity solutions are obtained using the stress function approach where the radial, circumferential and shear stresses are determined taking the closed ends of the cylindrical shell into account. en_US
dc.format.extent pp. 349-354 (6 p.) en_US
dc.language.iso en en_US
dc.rights The electronic version of the article published in Composite Structures 2001, 54(2-3): 349-354 © 2001 copyright Elsevier. Composite Structures available online at: http://www.sciencedirect.com/science/article/pii/S026382230100109X#m4.cor en_US
dc.subject Genetic algorithm en_US
dc.subject Anisotropic cylinder en_US
dc.subject Laminated pressure vessel en_US
dc.title Multi-dimensional design optimisation of laminated structures using an improved genetic algorithm en_US
dc.type Article en_US
dc.publisher.uri http://dx.doi.org/10.1016/S0263-8223(01)00109-X en_US


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