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Methods for Detection and Evaluation of Material Changes in Ceramic Material Composites (CMC) Based Structures

PI: Ralph Smith (Professor of Mathematics, NCSU)

Support: Air Force Office of Scientific Research (AFOSR)

Period of Performance:  July 15th, 2018 – July 14th, 2023

Budget: $376,000

Summary: The AFOSR-supported grant “Methods for Detection and Evaluation of Material Changes in Ceramic Material Composites (CMC) Based Structures” focused on several synergistic research topics.  The first focused on parameter estimation and control methods for models and applications for which aggregate or population data is available.  This included CMC compounds.  The second topic addressed the development and implementation of a maximum entropy technique for data fusion and uncertainty quantification for multifunctional materials.  These were supported by the development of a Bayesian validation framework for engineering systems, implementation of a Python-based sensitivity analysis library, and development of a reduced-order model (ROM) methodology based on autoencoders.  A third primary thrust addressed the implementation of efficient and robust linear algebra techniques for parameter subset selection (PSS) algorithms to isolated subsets of identifiable parameters for engineering and biological models.  The component of the program focused on the implementation of a surrogate-based methodology for real-time radiological threat localization.