Paper Information

Journal:   INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)   2008 , Volume 19 , Number 10-1 (SUPPLEMENT ELECTRICAL, INDUSTRIES AND CIVIL ENGINEERING); Page(s) 167 To 172.
 
Paper: 

MULTI-OBJECTIVE OPTIMIZATION OF LAMINATED COMPOSITES USING A HYBRID NEURO ALGORITHM

 
 
Author(s):  FARSAD MEHDI, EHSANI ALI
 
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Abstract: 

In this paper, we will study the calculation of the optimized weight of laminated composites under a load equals their ultimate strength. A variety of fracture criteria have been defined for this class of composite in literature; in this study we use Tsai- Hill theorem as the fracture criterion. The base of this theorem is the Classical Lamination Theory (CLT). A DOT algorithm is employed as the optimization technique with a direct use of real variables. Since optimization is a very time consuming process, we will use Radial Basis Function Neural Networks (RBFNN) to predict output. The optimization process continues in FORTRAN environment until the optimum result is achieved.

 
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