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dc.contributor.authorKhabbaz Beheshti, Behrouz
dc.contributor.supervisorMoses Tadeen_US
dc.date.accessioned2019-07-25T05:41:28Z
dc.date.available2019-07-25T05:41:28Z
dc.date.issued2019en_US
dc.identifier.urihttp://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.publisherCurtin Universityen_US
dc.titlePlant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Studyen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentWA School of Mines: Minerals, Energy and Chemical Engineeringen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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