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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium ICME Infrastructure Development for Accelerated Materials Design: Data Repositories, Informatics, and Computational Tools
Presentation Title Statistical Characterization of Microstructure-sensitive Models Applied to Engineering Components
Author(s) Gustavo M. Castelluccio, Joseph E. Bishop, Richard V. Field, John M. Emery, Matthew R. W. Brake
On-Site Speaker (Planned) Gustavo M. Castelluccio
Abstract Scope The structural assessments of mechanical components employ safety coefficients that represent the uncertainties from the mechanical solicitations, the manufacturing processes, and the materials properties. The quantification and characterization of the mechanisms responsible for theses variabilities are key to estimating the probability of failure and reducing safety coefficients. One of the intrinsic sources of variability in metals is the discreet nature of grains, which develop anisotropic elastic and plastic deformation upon mechanical solicitation. This work employs finite element simulations of representative volume elements (RVEs) that explicitly render grain morphology to characterize the statistical distributions of internal state variables and parameters (e.g., strains, stresses). These distributions are then employed to estimate microstructure-sensitive stress and strain fields in engineering components using homogenized constitutive models. Our results indicate that a first-order inference of the microstructural variability is possible, and it could be used to assess the need for more complex and computationally demanding models.
Proceedings Inclusion? Planned: A print-only volume


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