Research on design rules for composite laminate

Abstract

A methodology of laminate design rules is proposed to incorporate constraint in genetic algorithm (GA). It can provide optimization result that conforms to the composite design rules. Several methods such as replacement approach, swap approach, combined approach, and zero fitness approach are introduced to execute the laminate design rules concept. Effects are analyzed in terms of fitness value and convergence rate. Using rule operators, the convergence speed of the GA is increased. The proposed solutions will be more suitable than standard GA for some particular application with their conformance to the design rules. As a result, these methods are successfully applied and a practical optimal stacking sequence is obtained with the most appropriate for design rules.