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Mostreliability-basedoptimizationstudiesfocusonvariablesthatareavailableinthedesignstage.However,ithas been shown that inclusion of postdesign measures, such as structural tests and health monitoring, can lead to better design choices. More recently, a new reliability-based design framework that can include both predesign and postdesign uncertainty-reduction variables has been proposed in an earlier work. The present study elaborates on that study by including the system reliability considerations. A representative wing and tail system is considered in this study, and the wing and the tail are designed together with their corresponding structural tests. The number of coupon tests, the number of structural element tests, and the additional company knockdown factors for each component are selected as design variables to perform system reliability-based optimization for minimum direct operating cost. It is found that the optimum company knockdown factor for the wing is larger than that of the tail, becauseasmallfractionofthewingmaterialismovedtotailforoptimalreliabilityallocation.Itisalsofoundthatthe optimum number of structural element tests for the wing is larger than or equal to that of the tail. Finally, the optimum number of coupon tests for the wing is found to be smaller than that of the tail.
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Erdem Acar (2011) studied this question.
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