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

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).