CERAMIC MATRIX COMPOSITES (CMCS) HAVE EXCELLENT MECHANICAL PROPERTIES AND THERMAL STABILITY. THIS MAKES THEM EXCELLENT CANDIDATES FOR STRUCTURES IN SPACECRAFT WHICH REGULARLY SEE EXTREME OPERATING CONDITIONS. HOWEVER THERE IS A KNOWLEDGE GAP CONCERNING THE SUBSURFACE CRACK BEHAVIOR IN THESE MATERIALS. THIS SEVERELY LIMITS THE PROLIFERATION OF CMCS INTO HIGH IMPACT AREAS. MANY CURRENT STUDIES OF CRACKING BEHAVIOR ARE CONDUCTED AT A FREE SURFACE WHICH IS NOT INDICATIVE OF BULK BEHAVIOR. THIS IS PRIMARILY DUE TO LACK OF CHARACTERIZATION TOOLS THAT CAN OBSERVE SUBSURFACE DAMAGE. RECENT ADVANCES IN X-RAY COMPUTED TOMOGRAPHY (XCT) HAVE GREATLY ENHANCED RESOLUTION ALLOWING FOR MULTI-SCALE IMAGING OF BULK MATERIAL. HERE I PROPOSE MAKING USE OF THESE RECENT ADVANCES IN XCT COUPLED WITH NOVEL MACHINE LEARNING (ML) TECHNIQUES TO SIMULTANEOUSLY DEVELOP EFFECTIVE CHARACTERIZATION TOOLS AND PROBE CRACK BEHAVIOR IN HIGH RADIATION HIGH TEMPERATURE ENVIRONMENTS. THIS STUDY WILL RESULT IN THE DEVELOPMENT OF A GENERAL CHARACTERIZATION TECHNIQUE AND FUNDAMENTAL INSIGHT INTO FAILURE OF CMCS WHICH NASA ENGINEERS CAN THEN USE TO DESIGN AGAINST IT.