Abstract
The second Sandia Fracture Challenge illustrates that predicting the ductile fracture of Ti-6Al-4V subjected to moderate and elevated rates of loading requires thermomechanical coupling, elasto-thermo-poro-viscoplastic constitutive models with the physics of anisotropy and regularized numerical methods for crack initiation and propagation. We detail our initial approach with an emphasis on iterative calibration and systematically increasing complexity to accommodate anisotropy in the context of an isotropic material model. Blind predictions illustrate strengths and weaknesses of our initial approach. We then revisit our findings to illustrate the importance of including anisotropy in the failure process. Mesh-independent solutions of continuum damage models having both isotropic and anisotropic yields surfaces are obtained through nonlocality and localization elements.
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Acknowledgments
The authors are grateful for the support of our colleagues during the Sandia Fracture Challenge. We profited from fruitful discussions regarding the analysis and experiments from Lauren Beghini, Michael Chiesa, John Emery, Wei-Yang Lu, and Tracy Vogler. We would like to give special thanks to Alejandro Mota, Jake Ostien, and Bill Scherzinger for their contributions in constitutive modeling and methods for regularization. Finally, we could not have been successful without the support of Kendall Pierson and the Sierra SolidMechanics team. The authors would like to also acknowledge that this work was supported in part through the Joint DoD/DOE Munitions Technology Development Program (JMP). Funding from JMP has enabled improvements in robustness and guidelines for methods devoted to the prediction of ductile fracture. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.
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Karlson, K.N., Foulk, J.W., Brown, A.A. et al. Sandia fracture challenge 2: Sandia California’s modeling approach. Int J Fract 198, 179–195 (2016). https://doi.org/10.1007/s10704-016-0090-1
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DOI: https://doi.org/10.1007/s10704-016-0090-1