Multiobjective stacking sequence optimization for laminated composite structures

A Pareto-based multiobjective evolutionary algorithm is presented for stacking sequence optimization of composite structural parts. Special attention has been paid to engineering design guidelines for stacking sequence design. These guidelines are included into the formulation of the optimization pr...

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Published in:Composites science and technology 2009-06, Vol.69 (7), p.983-990
Main Authors: Irisarri, François-Xavier, Bassir, David Hicham, Carrere, Nicolas, Maire, Jean-François
Format: Article
Language:English
Subjects:
A. Laminate mechanics
Applied sciences
B. Failure
C. Buckling
C. Evolutionary algorithm
C. Multiobjective
Exact sciences and technology
Forms of application and semi-finished materials
Laminates
Polymer industry, paints, wood
Technology of polymers
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container_title Composites science and technology
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description A Pareto-based multiobjective evolutionary algorithm is presented for stacking sequence optimization of composite structural parts. Special attention has been paid to engineering design guidelines for stacking sequence design. These guidelines are included into the formulation of the optimization problem as constraints or additional objectives. A new initialization strategy is proposed following mechanical considerations. The method is applied to the optimal design of a composite plate for weight minimization and maximization of the buckling margins under three hundred load cases that make also the originality of this work. It is shown that the introduction of new ply orientations compared to the classical 0°, ±45° and 90° plies can lead to significantly improved optimal designs.
doi_str_mv 10.1016/j.compscitech.2009.01.011
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subjects A. Laminate mechanics
Applied sciences
B. Failure
C. Buckling
C. Evolutionary algorithm
C. Multiobjective
Exact sciences and technology
Forms of application and semi-finished materials
Laminates
Polymer industry, paints, wood
Technology of polymers
title Multiobjective stacking sequence optimization for laminated composite structures
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