Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study
dc.contributor.author | Khabbaz Beheshti, Behrouz | |
dc.contributor.supervisor | Moses Tade | en_US |
dc.date.accessioned | 2019-07-25T05:41:28Z | |
dc.date.available | 2019-07-25T05:41:28Z | |
dc.date.issued | 2019 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/75673 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | WA School of Mines: Minerals, Energy and Chemical Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |