Improvements to the Computational Pipeline in Crystal Plasticity Estimates of High Cycle Fatigue of Microstructures

By Kern, Paul Calvin

Georgia Institute of Technology

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Abstract

Advisors: David L. McDowell, Laurent Capolungo, Richard W. Neu

The objective of this work is to provide various improvements to the modeling and uncertainty quantification of fatigue lives of materials as understood via simulation of crystal plasticity models applied to synthetically reconstructed microstructures. A computational framework has been developed to automate standardized analysis of crystal plasticity models in the high cycle fatigue regime. This framework incorporates synthetic microstructure generation, simulation preparation, execution and post-processing to analysis statistical distributions related to fatigue properties. Additionally, an improved crack nucleation and propagation approach has been applied to Al 7075-T6 to improve predictive capabilities of the crystal plasticity model for fatigue in various loading regimes. Finally, sensitivities of fatigue response to simulation and synthetic microstructure properties have been explored to provide future guidance for the study of fatigue quantification based on crystal plasticity models.

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Researchers should cite this work as follows:

  • Kern, Paul Calvin (2016), "Improvements to the Computational Pipeline in Crystal Plasticity Estimates of High Cycle Fatigue of Microstructures," https://matin.gatech.edu/resources/2864.

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