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    Industry Foundation Classes (IFC)-based Method for Bridge Defect Information Representation and Analysis

    Xu S 2021.pdf (8.556Mb)
    Access Status
    Open access
    Authors
    Xu, Shuyuan
    Date
    2021
    Supervisor
    Xiangyu Wang
    Jun Li
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Humanities
    School
    School of Design and the Built Environment
    URI
    http://hdl.handle.net/20.500.11937/87645
    Collection
    • Curtin Theses
    Abstract

    Visual inspection is a common approach to ensure the serviceability and reliability of bridges. To facilitate its automation, this research proposed a method for the identification, representation, and analysis of inspection-related information within a dynamic bridge BIM environment, using IFC standards. The case study results indicate that the bridge BIM models integrated with defect information supports seamless model exchange across different vendors, information retrieval, and efficient transfer to models for condition assessment and structural analysis.

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