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6. CONCLUSION
A probabilistic formulation for the optimum design of composite laminate
s iss proposed in this paper. The minimization of the overall laminate thick
ness (therefore, weight) is considered as the objective function and the rel
iability requirement as
the constraint. The first-orderreliability method (FORM) is used to perform
the reliability analysis of composite laminates. The sequential quadratic pr
ogramming method (SQP) is used to search for the optimum solution. Numerical
examples are presented
to investigate the performance of the proposed optimization method. When onl
y thhe thicknesses of ply groups are considered to be design variables, the
method works very well. When both the thicknesses of ply groups and the opri
entations are treated as
design variables, difficulties in convergence arise because sinusoidal funct
ionss of ply group angles are involved in the search for the probabilistic o
ptimum solution. In this case, the proposed two-step procedure can be effect
ive. In the first
step,ply group angels are optimized for maximum structural performance. In t
he ssecond step, the minimization of structural weight is carried out with t
he optimum
angels obtained from the first step.
This paper brought together modern concepts of reliability analysis, com
posi
e laminate behavior and nonlinear optimization to develop a rational and pra
ctic
l procedure for the optimum design of composite laminates. The proposed meth
od w
s
demonstrated for a single laminate. It needs to be investigated for applicat
ion
o realistic structures made of composite laminates.
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