Parametric modelling based approach for efficient quantity takeoff of NATM-Tunnels

Daegu Cho, Nam Seok Cho, Hunhee Cho, Kyung In Kang

    Research output: Contribution to conferencePaperpeer-review

    5 Citations (Scopus)

    Abstract

    Purpose: As every construction project is quite different according to the type of construction, 3D-representations on design, estimation, construction, and management also need to be different. While the 3D-approach has been widely applied to building projects, it has rarely been tested on large construction projects such as tunnels, mass transit systems, dams, highways, etc. Meanwhile, characteristics of NATM (New Austrian Tunnelling method) tunnel projects-including long-linear-simple shapes, cyclic-repetitive operations, and relatively small numbers of objects-are compatible with parametric modeling that can be supported by BIM-applications5. The purpose of this paper is to propose an efficient approach for quantity takeoff of NATM-tunnels, using parametric modeling. Method: NATM-tunnel characteristics are described that should be applied to the 3D-modeling and technical requirements for parametric modeling functions toward obtaining efficient solutions. Results & Discussion: Results from a pilot project indicate that standardization on tunnel libraries, parameters, levels of detail, and parametric relationships can dramatically improve the efficiency of quantity takeoffs.

    Original languageEnglish
    Publication statusPublished - 2012
    Event29th International Symposium of Automation and Robotics in Construction, ISARC 2012 - Eindhoven, Netherlands
    Duration: 2012 Jun 262012 Jun 29

    Other

    Other29th International Symposium of Automation and Robotics in Construction, ISARC 2012
    Country/TerritoryNetherlands
    CityEindhoven
    Period12/6/2612/6/29

    Keywords

    • BIM
    • Information technology
    • NATM tunnel
    • Parametric modeling

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Building and Construction
    • Modelling and Simulation

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