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Ductile failure X-prize

Boyce, Brad B.; Foulk, James W.; Littlewood, David J.; Mota, Alejandro M.; Ostien, Jakob O.; Silling, Stewart A.; Spencer, Benjamin S.; Wellman, Gerald W.; Bishop, Joseph E.; Brown, Arthur B.; Córdova, Theresa E.; Cox, James C.; Crenshaw, Thomas B.; Dion, Kristin D.; Emery, John M.

Fracture or tearing of ductile metals is a pervasive engineering concern, yet accurate prediction of the critical conditions of fracture remains elusive. Sandia National Laboratories has been developing and implementing several new modeling methodologies to address problems in fracture, including both new physical models and new numerical schemes. The present study provides a double-blind quantitative assessment of several computational capabilities including tearing parameters embedded in a conventional finite element code, localization elements, extended finite elements (XFEM), and peridynamics. For this assessment, each of four teams reported blind predictions for three challenge problems spanning crack initiation and crack propagation. After predictions had been reported, the predictions were compared to experimentally observed behavior. The metal alloys for these three problems were aluminum alloy 2024-T3 and precipitation hardened stainless steel PH13-8Mo H950. The predictive accuracies of the various methods are demonstrated, and the potential sources of error are discussed.

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TYPE SAND Report YEAR 2011
OSTIDOI

Quantifying the debonding of inclusions through tomography and computational homology

Foulk, James W.; Jin, Huiqing J.; Lu, Wei-Yang L.; Mota, Alejandro M.

This report describes a Laboratory Directed Research and Development (LDRD) project to use of synchrotron-radiation computed tomography (SRCT) data to determine the conditions and mechanisms that lead to void nucleation in rolled alloys. The Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory (LBNL) has provided SRCT data of a few specimens of 7075-T7351 aluminum plate (widely used for aerospace applications) stretched to failure, loaded in directions perpendicular and parallel to the rolling direction. The resolution of SRCT data is 900nm, which allows elucidation of the mechanisms governing void growth and coalescence. This resolution is not fine enough, however, for nucleation. We propose the use statistics and image processing techniques to obtain sub-resolution scale information from these data, and thus determine where in the specimen and when during the loading program nucleation occurs and the mechanisms that lead to it. Quantitative analysis of the tomography data, however, leads to the conclusion that the reconstruction process compromises the information obtained from the scans. Alternate, more powerful reconstruction algorithms are needed to address this problem, but those fall beyond the scope of this project.

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TYPE SAND Report YEAR 2010
OSTIDOI
Results 76–100 of 103
Results 76–100 of 103