Health monitoring system design under uncertainty for hot aerospace structures

Structural Health Monitoring (SHM) systems increase aerospace vehicle safety and reliability, while reducing vehicle operating and maintenance costs. While many advances have been made in terms of sensors, composite materials, and damage detection algorithms, much additional research needs to be focused on probabilistic modeling, probabilistic analysis and design, as well as on sensor placement optimization under uncertainty. This paper develops a methodology to integrate the advances in various individual disciplines for optimum design and layout of structural health monitoring systems under uncertainty.