Multi-objective optimization of fiber reinforced composite laminates for strength, stiffness and minimal mass

We present a methodology for the multi-objective optimization of laminated composite materials that is based on an integer-coded genetic algorithm. The fiber orientations and fiber volume fractions of the laminae are chosen as the primary optimization variables. Simplified micromechanics equations a...

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Bibliographic Details
Published in:	Computers & structures Vol. 84; no. 29; pp. 2065 - 2080
Main Authors:	Pelletier, Jacob L., Vel, Senthil S.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.11.2006 Elsevier Science
Subjects:	Applied sciences Combinatorial optimization Composite pressure vessel Composites Computational techniques Exact sciences and technology Forms of application and semi-finished materials Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) Genetic algorithm Laminated composite materials Mathematical methods in physics Mechanical engineering. Machine design Physics Polymer industry, paints, wood Solid mechanics Stacking sequence Steel design Steel tanks and pressure vessels; boiler manufacturing Structural and continuum mechanics Technology of polymers Composite pressure vessel Stacking sequence Combinatorial optimization Laminated composite materials Genetic algorithm Stratified material Fiber reinforced material Rupture Epoxy resin Pressure vessel Biaxial load Fracture criterion Modeling Composite material Optimization Optimal design Graphite fiber Matrix fiber interface Loadbearing capacity Fiber orientation Stiffness Cylindrical shell Rupture strength
ISSN:	0045-7949, 1879-2243
Online Access:	Get full text
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