Safety and productivity analysis on alternative steel column-girder joint for automated construction

Dong In Kim, Hunhee Cho

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    The automated construction method has been regarded as an alternative way to decrease the dependency of skilled laborers and to improve the constructional condition for ensuring safety and increasing productivity of relevant processes. For applying an automated construction system and for the realization of its expected effectiveness, unavoidable changes in conventional details of materials and sub-components might be needed. Now, in Korea, a project to research an automated construction system for steel structures is ongoing, and an alternative detail for the column-girder joint has been suggested as a partial progress result. In this study, performances of the suggested detail were analyzed on the points of collision stress and installation time that are measured in the pilot project. From the result, the application of the specified detail can be considered to satisfy this requirement, related to the allowable stress of the structural steel, and to result in an effective improvement in productivity.

    Original languageEnglish
    Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
    Pages2338-2341
    Number of pages4
    Publication statusPublished - 2010
    EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
    Duration: 2010 Oct 272010 Oct 30

    Publication series

    NameICCAS 2010 - International Conference on Control, Automation and Systems

    Other

    OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
    Country/TerritoryKorea, Republic of
    CityGyeonggi-do
    Period10/10/2710/10/30

    Keywords

    • Automated construction
    • Productivity
    • Safety
    • Steel structural joint

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Control and Systems Engineering

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