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2018 Research Highlight: Probabilistic Modeling and Uncertainty Quantification for Computational Models of Composites

Probabilistic Modeling and Uncertainty Quantification for Computational Models of Composites 

CMEDE Researchers
Professor Lori Graham-Brady 
Johns Hopkins University
Professor Michael Shields
Johns Hopkins University
Professor Michael Kirby
University of Utah
Professor Yanyan He
New Mexico Institute of Mining and Technology

Goal: The long-term goal of this project is to develop an efficient sampling-based framework for performing uncertainty quantification (UQ) and/or probabilistic modeling of composite materials in armor applications.

Research strategy: This joint team from the MEDE and MSME CRAs addresses probabilistic modeling and UQ for continuum plain-weave composite models under projectile impact. The efficient sampling framework is being applied to better understand the sensitivities of the model parameters with respect to the residual velocity of the projectile and other outputs of interest.