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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Computational Method and Experimental Approaches for Model Development and Validation, Uncertainty Quantification, and Stochastic Predictions
Presentation Title Parametrically Homogenized Models of Deformation and Failure of Metals and Alloys with Uncertainty-quantification
Author(s) Somnath Ghosh
On-Site Speaker (Planned) Somnath Ghosh
Abstract Scope Parametrically homogenized constitutive-damage models or PHCDMs are thermodynamically consistent, reduced order models that explicitly incorporate important morphological and crystallographic features of the microstructure. These models have forms of phenomenological models, chosen to represent expected macroscopic behavior of the material, such as anisotropy, tension-compression asymmetry, and history -dependence etc. Parameters and their evolution are calibrated as functional forms of morphological and crystallographic variables and evolving mechanisms, from thermodynamic consistency with the micromechanical response. This talk will develop PHCDMs for Ti alloys like Ti-6242 and Ti-64. For materials with significant morphological and crystallographic variation, a probabilistic framework will be adopted to represent this uncertainty in the macroscopic response functions. The overall constitutive response will be represented in terms of distributions of microstructural characteristic parameters. A Bayesian statistics approach will be implemented for characterizing the uncertainty in the constitutive response in terms of probability distributions of model parameters.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

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Dynamic Failure of High Energy Materials: Uncertainty Quantification and Stochastic Predictions
Errors of Molecular Dynamics Simulations, and Development of “Accurate” Analytical Bond Order Potentials for Al-Cu-H and Mg-H Systems
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Linear Scaling, Quantum-accurate Interatomic Potentials with SNAP; Reaching those Hard-to-reach Places in Classical Molecular Dynamics
Machine Learning Based Atomistic Force Fields
Machine Learning Methods for Interatomic Potentials: Application to Boron Carbide
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New Advances in Semi-empirical Interatomic Potentials - the Modified Embedded Atom Method (MEAM)
Overcoming Singularities within Rate-independent Crystal Plasticity to Enable Realistic Latent Hardening
Parametrically Homogenized Models of Deformation and Failure of Metals and Alloys with Uncertainty-quantification
Property Localization: Quantifying the Uncertainty of Inferred Constitutive Models for Grain Boundaries
The Current State of Phase Field Benchmark Problems Developed by CHiMaD/NIST
The OpenKIM Testing Framework for Interatomic Potentials
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