Show simple item record

dc.contributor.authorKhabbaz Beheshti, Behrouz
dc.contributor.supervisorMoses Tadeen_US

In this research, the application of Artificial Intelligence and knowledge engineering, automation of equipment arrangement design, automation of piping and support design, using machine learning to automate the stress analysis, and finally, using information modelling to shift ‘field weld locating’ activity from the construction to the design phase were investigated. The results of integrating these methods on case studies, to increase the safety in the lifecycle of process plants were analysed and discussed.

dc.publisherCurtin Universityen_US
dc.titlePlant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Studyen_US
curtin.departmentWA School of Mines: Minerals, Energy and Chemical Engineeringen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record