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Advances in Computational Mechanics to Address Challenges in Crystal Plasticity FEM

Living reference work entry

Abstract

Image-based computational models are essential for predicting microstructure-property relationships. Crystal plasticity finite element models or CPFEM constitute a major part of these computational models. These models generally adopt conventional finite element analysis tools such as available commercial codes. However, they face severe challenges when modeling complex microstructures undergoing extreme phenomena. This chapter examines a few challenges of conventional CPFEM and proposes remedies through advanced methods of computational mechanics. The methods discussed include of element stabilization, multi-time-domain subcycling, and efficiency enhancement through adaptivity. It demonstrates the need for such numerical advances and the advantages gained. It provides motivation for looking beyond the available tools and making fundamental advances in field of computational mechanics that can benefit predictive modeling.

Notes

Acknowledgements

The author acknowledges the contributions of his postdoctoral researchers Dr. J. Cheng, Dr. Y. Azdoud, Dr. P. Chakraborty and graduate student A. Shahba for their work on various aspects in this chapter. He also acknowledges the sponsorship of the National Science Foundation, Mechanics and Structure of Materials Program, the Air Force Office of Scientific Research, and the Army Research Office. Computing support by the Homewood High Performance Compute Cluster (HHPC) and Maryland Advanced Research Computing Center (MARCC) is gratefully acknowledged.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Departments of Civil Engineering, Mechanical Engineering, and Materials Science and EngineeringJohns Hopkins UniversityBaltimoreUSA

Section editors and affiliations

  • Wei Cai
    • 1
  • Somnath Ghosh
    • 2
  1. 1.Department of Mechanical EngineeringStanford UniversityStanfordUSA
  2. 2.Dept. of Mechanical EngineeringJohns Hopkins UniveristyBaltimoreUSA

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