Probabilistic Remaining Useful Life Prediction of Composite Aircraft Components

Probabilistic Remaining Useful Life Prediction of Composite Aircraft Components Probabilistic Remaining Useful Life Prediction of Composite Aircraft Components The goal of this Phase II effort is to develop and demonstrate a software tool for a high fidelity probabilistic fatigue life prediction of composite aircraft components with a rigorous model fusion technique based on the Bayesian Maximum Entropy (BME) updating procedure. Three (3) tasks associated with module development and integration will be completed under the Year 1 program while two (2) tasks associated with experimental exploration and validation and demonstration will be completed under Year 2 program. The titles of these five (5) task components are Task 1 - Development of a High Fidelity FDAN Toolkit for Abaqus (Year 1) Task 2 - Development of a Reduced-Order Model of FDAN for SHM Data and Probabilistic Analysis (Year 1) Task 3 Development of PFDAN via an Advanced Probabilistic Integration with FDAN (Year 1) Task 4 Experimental Exploration and Validation of FDAN and PFDAN (Year 2) Task 5 Demonstration and Specifications for Phase III (Year 2)