About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
High Performance Steels
|
| Presentation Title |
A Computational Framework for Modeling and Predicting Tensile Behavior of Materials Applied to Martensitic Steels |
| Author(s) |
Clay Houser, Bartek Kaplan, Thomas Barkar, Armin Salmasi |
| On-Site Speaker (Planned) |
Clay Houser |
| Abstract Scope |
We here introduce a computational framework for modelling and predicting the mechanical behaviour of materials during plastic deformation, focusing on the phenomenon of strain hardening.
The framework provides tools to estimate the stress-strain relationships of materials, including models for stress beyond the ultimate tensile strength and fracture properties. The framework combines theoretical approximations, such as the Ramberg-Osgood relationship, with numerical methods and machine learning models.
Inputs include alloy compositions and thermal history, while outputs include engineering and true stress-strain curves, yield strength, ultimate tensile strength, fracture strength and elongation. Approximations are made using empirical relationships, analytical elastic and plastic response equations, and parameter estimates based on material data.
The current implementation is directed towards predicting the mechanical properties of martensitic steels but the framework supports modularity and allows for integration of additional material classes and strain-hardening models.
Results and validation will be presented in several graphs. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Iron and Steel, Mechanical Properties, Modeling and Simulation |