OPTIMIZATION OF MATERIAL COMPOSITION OF FUNCTIONALY GRADED PLATE FOR THERMAL STRESS RELAXATION USING A GENETIC ALGORITHM

摘要

In this article, a genetic algorithm is applied to an optimization problem of material composition for a plate of step-formed functionally graded materials. The step-formed functionally graded plate is analyzed as a laimianted composite plate made iof numerous layers with homogeneous and different isotropic material properties. First, the onedimensional transient temperature distributionf or a laminated plate is analyzed theoretically. In addition, the thermal stress components for such an infinitely long plate are formualted under the mechanical condition of being traction-free.