About this Abstract |
| Meeting |
MS&T24: Materials Science & Technology
|
| Symposium
|
Mesoscale Phenomena in Functional Polycrystals and Nanostructures
|
| Presentation Title |
Predicting Failure via Grain Boundary Rupture Using a Stochastic FEM-based Approach |
| Author(s) |
Naji Mashrafi, Adnan Taqi , Matthew J. Beck |
| On-Site Speaker (Planned) |
Naji Mashrafi |
| Abstract Scope |
Microstructural complexity in additively manufactured materials makes prediction of the location and critical stress for failure initiation difficult. Here we explore correlations between local structural features and effective applied stresses necessary to initiate grain boundary rupture. Leveraging the Kentucky Random Structures Toolkit (KRaSTk) to generate model representative volume elements (mRVEs) from physically-motivated geometric seed descriptions combined with FEM, we quantify both bulk mechanical responses and localized fracture initiation in polycrystals. Specifically, we examine distributions of stresses on grain boundaries across stochastic sets of mRVEs to deduce (micro)structure-property relationships. Results demonstrate a strong correlation between specific microstructural features and probability of grain boundary rupture, providing insights into failure initiation and demonstrating a computational framework for predicting failure stresses in complex polycrystals. |