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In this research, three optimization problems including minimization of the mean compliance considering a certain amount of material, minimization of weight with avoiding local stress concentration as well as minimization of weight and strain energy under local stress constraints are dealt with.
Hybrid structures enable minimization of weight, improved damage tolerance in the joined structure, optimized matching of properties to design needs, and improved economy in basic material costs as well as the cost of fabricating difficult materials.
Constrained optimization is conducted for maximization of modal loss factors and minimization of weight of sandwich beams and plates with elastic laminated constraining layers and a viscoelastic core, with layer thickness and material and laminate layer ply orientation angles as design variables.
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Thus, optimization can be performed by maximization of the buckling load for a specific weight, or by minimization of the weight of the structure under the constraint of applied buckling load.
The aim is the maximization of a given natural bending frequency (usually the first) for a given beam weight or equivalently the minimization of beam weight for a specified value of a natural frequency.
Minimization of total weight and total annual cost are considered as objectives.
In addition, the minimization of the weight of the hatch cover was selected as an objective function.
In both problems, minimization of takeoff weight and drag is considered as objective functions, which have been optimized using Non-dominated Sorting Genetic Algorithm (NSGA).
First problem was the maximization of the flight altitude and minimization of the gross weight.
Waterman and Ashby (1991) showed that the criterion for minimization of the disc weight is s/ρ.
Third problem was the maximization of the duration time over the target flight altitude and minimization of the gross weight.
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