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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Fracture: 65 Years after the Weibull Distribution and the Williams Singularity
Presentation Title On the Prediction of Failure in 6016 Aluminum Alloy Sheet by GISSMO Damage Model
Author(s) Bin Liang, Yan Zhao, Dengfu Chen, Xinming Wan, Junping Zhang, Jia Zhou, Mujun Long, Huamei Duan
On-Site Speaker (Planned) Bin Liang
Abstract Scope The accurate prediction of fracture behavior is a challenge in metal forming analysis. Experimental evidence shows that ductile fracture strongly depends on stress state and strain path. As a stress state dependent damage model, the GISSMO includes incremental formulation for the description of material instability and localization. It could be used to predict the failure of metal material under different load conditions. In this study, six different shaped specimens which reflects different stress state of 6016 aluminum alloy sheet were performed tests. All the experiment processes were reproduced within finite element simulation to calibrate the GISSMO parameters. The model validation indicates that the crack morphology and generation time of failure prediction are match well with actual experimental results. Moreover, compared with the traditional forming limit diagram, the GISSMO damage model is more suitable to accurately simulate and predict the fracture behavior of 6016 aluminum alloy sheet for several load paths.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Data-driven Approach to Predict Microstructurally Small Crack Evolution
A Probability Model for Stress Rupture Failure of Carbon Composites, Incorporating Weibull Fiber Strength Statistics, Local Fiber Load Sharing, and Matrix Creep
An Integrity Basis of Fracture Challenges
Applicability of Weibull Statistics for Micro- and Nano-scale Silicon Components
Comparison of Methods to Find the Weibull Stress Parameters
Composite Overwrapped Pressure Vessel (COPV) Life Test
Computational Procedure for Designing New Gen 3 Steels with High Formability and Ductile Fracture Resistance
Forward Propagation of Random Microstructural Features for Reliability Estimates of Engineering Structures
Fracture Behavior of High Performance Sheet Steel
Fracture Toughness of Silicon by Variable Temperature Micropillar Splitting
Grain and Sub-grain Level Strains ahead of an Evolving Fatigue Short Crack as Measured by X-ray Techniques
High Temperature Cracking Damage of Calcium Aluminate Cements
K-dominance of Atomistic Cracks
Limitations and Applicability of LEFM to Spalling Fracture in Single Crystal Semiconductors
NASA's Plan for Development and Transition of Computational Materials-based Capabilities for Next-generation Durability / Damage Tolerance and Additive Manufacturing
On the Experimental Evaluation of the Fracture Toughness of Shape Memory Alloys
On the Prediction of Failure in 6016 Aluminum Alloy Sheet by GISSMO Damage Model
Physical and Computational Aspects of Engineering Damage Mechanics
Predicting Joint Strength: Evaluating Interface Corner Stress Intensity Factor and Cohesive Zone Modeling Approaches
Re-tooling the Engineering Predictive Practices for Durability and Damage Tolerance
Singularities of Dynamic Cracks
Size, Temperature, Environmental Effects on Brittle Fracture (BDT)
The Complexity of Ductile Fracture
The Effect of Loading Rate on Fracture Toughness of Low Ductility Materials
Toughness, Roughness and Crack Path Engineering for Improved Ductile Fracture Resistance
Trends in Microstructure-sensitive Computational Approaches to Fatigue Cracking
Use of Weibull Distribution to Characterize High Performance Fibers
Using R-curves to Predict Fatigue Behavior in Crack Bridging Toughened Ceramics
Void Initiation during Ductile Rupture of Pure Metals
Weibull Analysis of High Strength Ni- and Fe-based Bulk Metallic Glasses

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