Cooperative Belief-Driven Search and Tracking (Ultrasonic Nondestructive Inspection of Composite Structures)

摘要

The aim of this project is to develop a new approach to automatically and rapidly quantifying invisible defects in a composite structure through enhanced analysis of data from ultrasonic nondestructive inspection (NDI) methods. Technically, the project is aimed at developing rapid automated techniques that interrogate output from ultrasonic NDI equipment to identify the presence of defects in composite structures. The complexity of composite materials and structures make return signals complex and difficult to interpret. The proposed enhanced signal analysis attempts to identify the presence of defects by modeling signals and geometries more accurately than existing techniques. This method also will identify the type of defect (e.g., delamination, disbonding, foreign body inclusions, and porosity) as well as its location and size. The proposed enhanced signal analysis is recursively performed by utilizing active sensing.