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    Plant Information Modelling, Using Artificial Intelligence, for Process Hazard and Risk Analysis Study

    Khabbaz Beheshti B 2019.pdf (5.985Mb)
    Access Status
    Open access
    Authors
    Khabbaz Beheshti, Behrouz
    Date
    2019
    Supervisor
    Moses Tade
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    WA School of Mines: Minerals, Energy and Chemical Engineering
    URI
    http://hdl.handle.net/20.500.11937/75673
    Collection
    • Curtin Theses
    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.

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