Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study
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’...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/75673 |
| _version_ | 1848763529161605120 |
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| author | Khabbaz Beheshti, Behrouz |
| author_facet | Khabbaz Beheshti, Behrouz |
| author_sort | Khabbaz Beheshti, Behrouz |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:04:54Z |
| format | Thesis |
| id | curtin-20.500.11937-75673 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:04:54Z |
| publishDate | 2019 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-756732019-07-25T05:41:28Z Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study Khabbaz Beheshti, Behrouz 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. 2019 Thesis http://hdl.handle.net/20.500.11937/75673 Curtin University fulltext |
| spellingShingle | Khabbaz Beheshti, Behrouz Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study |
| title | Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study |
| title_full | Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study |
| title_fullStr | Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study |
| title_full_unstemmed | Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study |
| title_short | Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study |
| title_sort | plant information modelling, using artificial intelligence, for process hazard and risk analysis study |
| url | http://hdl.handle.net/20.500.11937/75673 |