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Integrating Materials and Manufacturing Innovation

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30.09.2020 | Technical Article

Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations

verfasst von: Shravan Kotha, Deniz Ozturk, Benjamin Smarslok, Somnath Ghosh

Erschienen in: Integrating Materials and Manufacturing Innovation | Ausgabe 4/2020

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Abstract

This paper investigates the role of material microstructures in structural analysis and establishes the need for microstructure-integrated constitutive models in predicting structural response. A focus is on microstructure and temperature dependency of stresses and plastic strains in a structural panel under realistic loading conditions. Structural analysis is conducted using the recently developed uncertainty-quantified parametrically homogenized constitutive model (UQ-PHCM) for near-alpha Titanium alloys like Ti6242S. PHCMs exhibit explicit microstructural dependency and are developed from homogenization of crystal plasticity finite element simulation results with machine learning. Uncertainties due to model reduction, data sparsity and microstructural variability are accounted for in the model. Structural response with the UQ-PHCMs is compared to those predicted by isotropic elasticity and \({J}_2\) plasticity models without explicit microstructure information. Parametric studies illustrate how different uncertainties in the UQ-PHCM framework propagate to the structural response variables. The results also show the relative contribution of different microstructural features to the propagated uncertainty in structural response variables. The studies establish the UQ-PHCM as an effective tool for reliable structural analysis with consequences in material design.

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Titel: Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations
verfasst von: Shravan Kotha
Deniz Ozturk
Benjamin Smarslok
Somnath Ghosh
Publikationsdatum: 30.09.2020
Verlag: Springer International Publishing
Erschienen in: Integrating Materials and Manufacturing Innovation / Ausgabe 4/2020
Print ISSN: 2193-9764
Elektronische ISSN: 2193-9772
DOI: https://doi.org/10.1007/s40192-020-00187-z

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