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- 2Failure pressure
- 1Artificial neural network
- 1Axial crack
- 1Cracks in corrosion
- 1Extended finite element method
- 1Fracture energy
-
Failure Pressure Prediction of Cracks in Corrosion Defects in Pipelines using eXtended Finite Element Method
DownloadFall 2020
Pipelines are one of the safest means of oil and gas transportation. In Canada, 97% of all oil and gas production is transported by pipelines. However, their increasing age can constitute integrity concerns due to the presence of defects such as cracks, welds, dents, and corrosion. These defects...
-
Novel Artificial Neural Network Model for Predicting Failure Pressure of Thin-walled Pipes Containing Axially-oriented Surface Cracking Subjected to Internal Pressure
DownloadSpring 2024
Axial cracking is a major integrity threat for oil and natural gas transmission pipelines in Canada since its presence can lead to detrimental oil leaks or ruptures, resulting in pipeline incidents, and eventually causing severe damage to the property and the environment. Therefore, periodically...