Composite Materials Research Progress
Composite Materials Research Progress
Composite Materials Research Progress
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Optimization of Laminated <strong>Composite</strong> Structures… 101<br />
stiffness, buckling and strength based designs. It is routinely used in an (European) industrial<br />
context for the design of composite aircraft box structures located in the wings, the center<br />
wing box, and the vertical and horizontal tail plane. This approach is based on sequential<br />
convex programming and consists in replacing the original optimization problem by a<br />
sequence of approximated sub-problems. A very general and self adaptive approximation<br />
scheme is used. It can consider the particular structure of the mechanical responses of<br />
composites, which can be of a different nature when both fiber orientations and plies<br />
thickness are design variables.<br />
References<br />
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methods for engineering applications: a review, Structural Optimization, 9, 137-159.<br />
Autio M. (2000). Determining the real lay-up of a laminate corresponding to optimal<br />
lamination parameters by genetic search, Structural and Multidisciplinary Optimization,<br />
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Third World Congress of Structural and Multidisciplinary Optimization, Amherst, New<br />
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composite structures, Internal Report OA-58, LTAS-Optimization Multidisciplinaire,<br />
Université de Liège, Belgium.<br />
Bruyneel M. (2002). Schémas d’approximation pour la conception optimale des structures en<br />
matériaux composites, Doctoral Thesis, Faculté des Sciences Appliquées, Univesrité de<br />
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Bruyneel M. and Fleury C. (2002). <strong>Composite</strong> structures optimization using sequential<br />
convex programming, Advances in Engineering Software, 33, 697-711.<br />
Bruyneel M., Duysinx P. and Fleury C. (2002). A family of MMA approximations for<br />
structural optimization, Structural & Multidisciplinary Optimization, 24, 263-276.<br />
Bruyneel M. and Duysinx P. (2005). Note on topology optimization of continuum structures<br />
including self-weight, Structural & Multidisciplinary Optimization, 29, 245-256.