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The Sandia Fracture Challenge: blind round robin predictions of ductile tearing |
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| Authors: | B L Boyce S L B Kramer H E Fang T E Cordova M K Neilsen K Dion A K Kaczmarowski E Karasz L Xue A J Gross A Ghahremaninezhad K Ravi-Chandar S-P Lin S-W Chi J S Chen E Yreux M Rüter D Qian Z Zhou S Bhamare D T O’Connor S Tang K I Elkhodary J Zhao J D Hochhalter A R Cerrone A R Ingraffea P A Wawrzynek B J Carter J M Emery M G Veilleux P Yang Y Gan X Zhang Z Chen E Madenci B Kilic T Zhang E Fang P Liu J Lua K Nahshon M Miraglia J Cruce R DeFrese E T Moyer S Brinckmann L Quinkert K Pack M Luo T Wierzbicki |
| Affiliation: | 1. Sandia National Laboratories, Albuquerque, NM, USA 2. Schlumberger, Sugar Land, TX, USA 3. University of Texas at Austin, Austin, TX, USA 4. University of Miami, Coral Gables, FL, USA 5. University of California at Los Angeles, Los Angeles, CA, USA 6. University of Illinois at Chicago, Chicago, IL, USA 7. University of Texas at Dallas, Richardson, TX, USA 8. University of Cincinnati, Cincinnati, OH, USA 9. Northwestern University, Evanston, IL, USA 10. Materials Science and Engineering, Chongqing University, Chongqing, China 11. Department of Mechanical Engineering, The American University in Cairo, Cairo, Egypt 12. NASA Langley, Hampton, VA, USA 13. Cornell University, Ithaca, NY, USA 14. Tsinghua University, Beijing, China 15. Zhejiang University, Hangzhou, China 16. University of Missouri, Columbia, MO, USA 17. Dalian University of Technology, Dalian, China 18. University of Arizona, Tucson, AZ, USA 19. Global Engineering and Materials Inc., Princeton, NJ, USA 20. Naval Surface Warfare Center Carderock Division, Washington, DC, USA 21. Max-Planck Institut für Eisenforschung, Düsseldorf, Germany 22. Industrial and Automotive Drivetrains, Ruhr-University Bochum, Bochum, Germany 23. Massachusetts Institute of Technology, Cambridge, MA, USA |
| Abstract: | Existing and emerging methods in computational mechanics are rarely validated against problems with an unknown outcome. For this reason, Sandia National Laboratories, in partnership with US National Science Foundation and Naval Surface Warfare Center Carderock Division, launched a computational challenge in mid-summer, 2012. Researchers and engineers were invited to predict crack initiation and propagation in a simple but novel geometry fabricated from a common off-the-shelf commercial engineering alloy. The goal of this international Sandia Fracture Challenge was to benchmark the capabilities for the prediction of deformation and damage evolution associated with ductile tearing in structural metals, including physics models, computational methods, and numerical implementations currently available in the computational fracture community. Thirteen teams participated, reporting blind predictions for the outcome of the Challenge. The simulations and experiments were performed independently and kept confidential. The methods for fracture prediction taken by the thirteen teams ranged from very simple engineering calculations to complicated multiscale simulations. The wide variation in modeling results showed a striking lack of consistency across research groups in addressing problems of ductile fracture. While some methods were more successful than others, it is clear that the problem of ductile fracture prediction continues to be challenging. Specific areas of deficiency have been identified through this effort. Also, the effort has underscored the need for additional blind prediction-based assessments. |
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