Multi-objective Optimization Design for Composite Stiffened Panel Considering Damage Tolerance

摘要

This paper investigates structural optimization design with Multi-Objective Genetic Algorithm (MOGA) for composite blade-type stiffened panel. Intact and damaged stiffened panel was examined to consider damage tolerance on optimal design. For the purpose of reducing the required computational cost because of the iteration of MOGA, Response Surface (RS) with Radius Basis Function (RJBF) was successfully applied to approximate the design space. In order to consider damage tolerance capability, multi-objective optimization design minimizing structural weight and strength degradation due to damage was also performed. The resulting pareto solutions showed trade-off relationship between structural weight and damage tolerance capability; from the point of view of the weight efficiency, these trade-off information are useful for optimization design of composite stiffened panels.