Probability Based Integration of Structural Health Monitoring into the Aging Aircraft Sustainment Program
Abstract
The research focused on improvements in diagnosis and prognosis of crack detection through extensive use of probabilistic techniques. A unique feature of the research is that it identifies the material properties relevant to damage propagation at the same time that it performs diagnosis and prognosis. As such, it has the potential of turning aircraft into flying fatigue laboratories and contributing to substantial improvements in the accuracy of aircraft digital twins. Specific accomplishments are include the development of frequency-wave-number migration technique, image-segmentation technique, use of Bayesian techniques for combining sensors and actuators, and for narrowing down uncertainty in material properties that govern crack propagation. Together, the research is expected to substantially advance research into making structural health monitoring practical for Air Force aging planes.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 02, 2010
- Accession Number
- ADA548075
Entities
People
- Fuh-gwo Yuan
- Nam-ho Kim
- Raphael T. Haftka
Organizations
- University of Florida