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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Verification, Calibration, and Validation Approaches in Modeling the Mechanical Performance of Metallic Materials
Presentation Title From Microstructure to Model: A Statistical Framework for Microstructural Uncertainty Quantification
Author(s) Daniella Heristchian, Ben Poole, Cory Hamelin
On-Site Speaker (Planned) Daniella Heristchian
Abstract Scope In extreme environments like those in fusion reactors, material performance is driven by complex microstructural phenomena. As representative conditions are not currently testable, predictive models play a critical role - and their reliability hinges on high-quality, statistically representative input data. Such data must often be obtained through Electron Backscatter Diffraction (EBSD). However, uncertainties arise from limited scan areas, long-range microstructural variations, and the inherent stochasticity of real-world materials. Unlike many approaches focused solely on sample size, this novel work applies multiple statistical tests, tailored to the structure–property relationship of key microstructural metrics, to quantify uncertainty from long-range heterogeneity and intrinsic randomness. This enables clearer separation between microstructural variability and size effects, essential for calibrating small-scale mechanical tests and enabling microstructurally informed predictive modelling. By providing rigorous, statistically grounded microstructural input criteria, this work enhances confidence in predictive simulations, ultimately supporting accelerated qualification of materials for fusion and other extreme environments.
Proceedings Inclusion? Planned:
Keywords Characterization, Nuclear Materials, Modeling and Simulation

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