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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Fracture: 65 Years after the Weibull Distribution and the Williams Singularity
Presentation Title A Data-driven Approach to Predict Microstructurally Small Crack Evolution
Author(s) Kyle Pierson, Jacob Hochhalter, P. Thomas Fletcher, Ashley Spear
On-Site Speaker (Planned) Ashley Spear
Abstract Scope Microstructurally small/short cracks (MSCs) have been shown to be inherently three-dimensional, and their local growth rates can exhibit significant variability caused by sensitivity to local microstructure. Results from both experiments and models have shown that stress fields surrounding MSCs can be heterogeneous, varying by an order of magnitude among grains. For these reasons, the applicability of an analytical stress singularity, on which linear elastic fracture mechanics is based, is questionable. Two main challenges associated with predicting failure of structural components include: 1) lack of an agreed-upon, quantitative, crack-driving mechanism or model to predict MSC growth rates, and 2) lack of a computationally tractable framework that allows for the representation of evolving plasticity and fracture with adequate fidelity to accommodate the crack-driving mechanism. This talk will focus on recent efforts to address these challenges through the integration of high-resolution experimental data, high-fidelity numerical modeling, and machine learning approaches.
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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