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

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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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Acknowledgements

This work has been supported through a subcontract to JHU (sub-recipient) from The Ohio State University (main recipient) through a sub-award No. 60038238 from an AFRL Grant No. FA8650-13-2-2347 as a part of the AFRL Collaborative Center of Structural Sciences. The program managers of this grant are Dr. Benjamin Smarslok and Dr. R. Chona, and the PI is Prof. J. McNamara. This support to JHU is gratefully acknowledged. Computing support from Hopkins High Performance Computing Center (HHPC) and Maryland Advanced Research Computing Center (MARCC) is gratefully acknowledged. The authors would like to thank Prof. J. McNamara and Dr. Kirk Brouwer from The Ohio State University for providing the panel configuration for analysis.

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Authors and Affiliations

  1. Department of Civil Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA

    Shravan Kotha & Deniz Ozturk

  2. Structural Sciences Center, Air Force Research Laboratory, Wright Patterson AFB, Dayton, OH, 45433, USA

    Benjamin Smarslok

  3. Departments of Civil, Mechanical and Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA

    Somnath Ghosh

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  1. Shravan Kotha
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  2. Deniz Ozturk
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  4. Somnath Ghosh
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Correspondence to Somnath Ghosh.

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Kotha, S., Ozturk, D., Smarslok, B. et al. Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations. Integr Mater Manuf Innov 9, 322–338 (2020). https://doi.org/10.1007/s40192-020-00187-z

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