Reliability Algorithms for Corrosion Fatigue

. The proposed innovative research will provide an advanced stochastic framework for developing an integrated risk-based condition assessment and life prediction-analysis system for a cost effective maintenance system for aircraft components. Corrosionfatigue is a key damage mechanism. Based on the component risk predictions, the reliability of damage detection and the reliability of damage growth prediction can be assessed. The reliability measures can be used for improving safety and readiness, andreduce operation and support costs.The proposed integrated system can serve as a state-of-art probabilistic component reliability prediction system that includes all significant post-design aspects, including manufacturing defects, operational loading history, progressive corrosion fatiguedamage and life consumption under interactive failure modes, maintenance activities (inspection, repair, replacement). The proposed probabilistic component design system combines stochastic stress analysis and life prediction algorithms with risk-basedmaintenance analysis. The system can be also used for comparing different designs in terms of risk/safety including maintenance activities or performing