Optimum design of experiments in composite reliability

Abstract

Many composite material applications require a high degree of safety and functionality. This demands that reliability be incorporated in composite design. The design predition of reliability requires a parametric model based on the failure processes in strength and life. The estimation of the needed parameters requires large data set usually limited by time and equipment. The objective of this investigation is to provide, via simulation, a statistics based rationale of experiment design. The result enables multiple use of limited equipment through scheduled censoring to optimize information.