About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Materials for Qualification and Certification
|
| Presentation Title |
Achievements, Challenges, and Opportunities of a Zone-Based Probabilistic Damage Tolerance Framework for AM Components |
| Author(s) |
James Sobotka, Erin DeCarlo, Carl Fauver, Sakshi Braroo, Michael Enright |
| On-Site Speaker (Planned) |
James Sobotka |
| Abstract Scope |
Additive manufacturing (AM) processes introduce a variety of potential material anomalies that reduce fatigue life performance under cyclic loading through the processes of crack formation, fatigue crack growth, and fracture. A zone-based probabilistic damage tolerance framework has been proposed by Gorelik (Int. J. Fatigue, 2017) to ensure the structural integrity of higher-criticality AM parts. This probabilistic framework enables analysts to quantify uncertainty inherent in AM materials and potentially accelerate qualification and certification efforts. In this presentation, we present an overview of recent activities to apply and to adapt this framework towards increasingly complex AM components by highlighting recent achievements, ongoing challenges, and opportunities to expand this capability for industrial applications within the engineering software DARWIN®. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, |