| About this Abstract |
| Meeting |
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Symposium
|
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
|
| Presentation Title |
Developing Continuum Damage Model Tensors for Ceramic Matrix Composites Using Genetic Programming Based Symbolic Regression |
| Author(s) |
Will Jenkins, Jacob Hochhalter, Craig Przybyla |
| On-Site Speaker (Planned) |
Will Jenkins |
| Abstract Scope |
Modeling damage initiation and progression in continuous fiber reinforced ceramic matrix composites (CMCs) needs to be improved before they can be widely adopted in critical aerospace applications. While damage mechanisms in CMCs are heavily dependent on the microstructure, we propose a continuum damage model that homogenizes these microstructural interactions for application at the engineering scale. The proposed continuum damage model operates on the ply-level, under 2D plan stress assumptions, derived using a thermodynamics-based approach. To facilitate the development of this model, we employ genetic programming based symbolic regression (GPSR) to learn damage model tensors from SiC testing data. Known elastic material behavior is separated such that GPSR specifically learns the corresponding damage tensor. In addition, training constraints using physical knowledge are enforced to promote evolution of models that are physically valid and interpretable. Using this framework, GPSR learns damage tensors that include ply level damage behavior and interactions between off-angle plies. The resulting damage tensors provide physical insight into damage mechanisms and interactions that were missing from previous models. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |