Bayesian Framework Based Damage Segmentation (BFDS) with Time-Reversal Tomography (TRT) for Damage Characterization in Complex Aircraft Structures

Period of Performance: 01/01/2013 - 12/31/2013

$124K

Phase 1 STTR

Recipient Firm

X-wave Innovations, Inc.
407 Upshire Circle Array
Gaithersburg, MD 20878
Principal Investigator
Firm POC

Research Institution

North Carolina State University
Campus Box 7514
Raleigh, NC 27695
Institution POC

Abstract

To meet the NASA's need for innovative technologies that decrease turn-around time for inspections and assessments for safe operations of aircraft and spacecraft, X-wave Innovations, Inc. (XII), teaming up with Prof. Fuh-Gwo Yuan at North Carolina State University (NCSU), proposes to develop an innovative guided-wave based Time-Reversal Tomography (TRT) technology and Bayesian Framework based Damage Segmentation (BFDS) technology for finite-size damage detection and characterization in complex structures. This framework provides a means for evaluation of the Model-Assisted Probability of Detection (MAPOD) and Confidence Level (CL) for damage characterization in the context of Structural Health Monitoring (SHM).