Lay-up optimization of composite stiffened panels using linear approximations in lamination space

J. Enrique Herencia, Raphael T. Haftka, Paul M. Weaver, Michael I. Friswell

Research output: Contribution to journalArticlepeer-review

Abstract

A study was conducted for optimization of composite stiffened panels using linear approximations in lamination space. The study proposed a fitness function based on constraint satisfaction using the linear approximation of the design constraints, for genetic algorithm (GA). GA is used to find the safest design based on a linear approximation of the design constraints. The study generated a design with lower critical constraint violation for same thickness of the laminates to reduce the thickness of the laminates. The study also found the second step produced optimum discrete designs with a potential mass saving of 3.5%. The study also observed that optimum discrete designs were further away in the lamination parameter space to the continuous optima. The second step can be used for expensive design constraints and less expensive constraints to form the fitness function.

Original languageEnglish
Pages (from-to)2387-2391
Number of pages5
JournalAIAA Journal
Volume46
Issue number9
DOIs
Publication statusPublished - Sep 2008
Externally publishedYes

Fingerprint

Dive into the research topics of 'Lay-up optimization of composite stiffened panels using linear approximations in lamination space'. Together they form a unique fingerprint.

Cite this