This study presents an efficient method for optimum design of plate an
d shell structures, when the design variables are continuous or discre
te. Both sizing and shape design variables are considered. First the s
tructural responses, such as element forces, are approximated in terms
of some intermediate variables. By substituting these approximate rel
ations into the original design problem, an explicit nonlinear approxi
mate design task with high quality approximation is achieved. This pro
blem with continuous variables can be solved very efficiently by means
of numerical optimization techniques, the results of which are then u
sed for discrete variable optimization. Now, the approximate problem i
s converted into a sequence of second level approximation problems of
separable form, each of which is solved by a dual strategy with discre
te design variables. The approach is efficient in terms of the number
of required structural analyses, as well as the overall computational
cost of optimization. Examples are offered and compared with other met
hods to demonstrate the features of the proposed method.