This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results
Filter
Author / Creator / Contributor
Subject / Keyword
Year
Collections
Languages
Item type
-
A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions
Download2023-11-01
Rezasefat, Mohammad, Hogan, James D.
This study presents a data-driven finite element-machine learning surrogate model for predicting the end-to-end full-field stress distribution and stress concentration around an arbitrary-shaped inclusion. This is important because the model’s capacity to handle large datasets, consider...
1 - 1 of 1