Building Information Modeling in the execution phase of conventional tunneling projects

被引:4
|
作者
Huymajer, Marco [1 ]
Melnyk, Oleksandr [2 ]
Wenighofer, Robert [1 ]
Huemer, Christian [3 ]
Galler, Robert [1 ]
机构
[1] Univ Leoben, Chair Subsurface Engn, Erzherzog Johann Str 3-III, A-8700 Leoben, Austria
[2] TU Wien, Res Unit Construct Proc & Methods, Karls pl 13, A-1040 Vienna, Austria
[3] TU Wien, Res Unit Business Informat, Favoriten str 9, A-1040 Vienna, Austria
关键词
Conventional tunneling; Drill and blast; BIM; IFC; Construction phase; Digitalization; FRAMEWORK;
D O I
10.1016/j.tust.2023.105539
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Building Information Modeling (BIM) has become the key technology for the digital transformation of the architecture, engineering, and construction (AEC) sector. The Industry Foundation Classes (IFC), as an open and vendor-neutral data model, play an essential role in this transformation. Despite all the recent advances of BIM, tunneling needs to catch up with other AEC sectors adopting digital technologies. Currently, IFC is mainly used to capture information directly connected to the structural elements of the final tunnel but rarely as a means to document the tunnel excavation and support. This article proposes an IFC-driven process for the execution phase of conventional tunneling projects by extending the usage of IFC to information about the process, labor, equipment, and employed material. The proposed process is evaluated by a case study demonstrating how to represent data from a conventional tunneling project by IFC. The results show that IFC provides the necessary concepts to express the data of the execution phase of conventional tunneling projects. Implementing an IFC-driven process in this phase significantly contributes to the digital transformation of tunneling projects.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] The Situation of Cost Management in Execution of Building Projects in Syria
    Kasem, Sarab
    Alhaffar, Mohammad Bachar
    JORDAN JOURNAL OF CIVIL ENGINEERING, 2011, 5 (04) : 510 - 520
  • [32] Empirical Factors Analysis in the Execution of House Building Projects
    Abhar, Hosein
    Farimani, All Ehsani
    Maghareh, Mohammad Reza
    SUSTAINABLE CITIES DEVELOPMENT AND ENVIRONMENT, PTS 1-3, 2012, 209-211 : 1396 - +
  • [33] Strategies for Adopting Building Information Modeling (BIM) in Sustainable Building Projects-A Case of Malaysia
    Manzoor, Bilal
    Othman, Idris
    Gardezi, Syed Shujaa Safdar
    Harirchian, Ehsan
    BUILDINGS, 2021, 11 (06)
  • [34] Utilization of Design Data on Conventional System to Building Information Modeling (BIM)
    Akbar, Boyke M.
    Larasati, Dewi Z. R.
    3RD INTERNATIONAL CONFERENCE ON CONSTRUCTION AND BUILDING ENGINEERING (ICONBUILD 2017), 2017, 1903
  • [35] FMTI Digital Planning and Construction Phased Plan for Execution of Building Information Modeling (BIM)
    不详
    FLEISCHWIRTSCHAFT, 2016, 96 (02): : 43 - 43
  • [36] Construction Safety and Efficiency: Integrating Building Information Modeling into Risk Management and Project Execution
    Salzano, Antonio
    Cascone, Stefano
    Zitiello, Enrico Pasquale
    Nicolella, Maurizio
    SUSTAINABILITY, 2024, 16 (10)
  • [37] ECONOMIC COMPARISON OF INDUSTRIALIZED BUILDING SYSTEM AND CONVENTIONAL CONSTRUCTION SYSTEM USING BUILDING INFORMATION MODELING
    Faghirinejadfard, Amir
    Mahdiyar, Amir
    Marsono, Abdul Kadir
    Mohandes, Saeed Reza
    Omrany, Hossein
    Tabatabaee, Sanaz
    Tap, Masine Md
    JURNAL TEKNOLOGI, 2016, 78 (01): : 195 - 207
  • [38] Building information modeling in construction projects: the case of the Portuguese code of public contracts
    Matos, Bruno C.
    Cruz, Carlos O.
    Branco, Fernando A.
    JOURNAL OF PUBLIC PROCUREMENT, 2025, 25 (01) : 1 - 40
  • [39] Benefits of Building Information Modeling in Road Projects for Cost Overrun Factors Mitigation
    Sanchez, Omar
    Castaneda, Karen
    Herrera, Rodrigo F.
    Pellicer, Eugenio
    CONSTRUCTION RESEARCH CONGRESS 2022: PROJECT MANAGEMENT AND DELIVERY, CONTRACTS, AND DESIGN AND MATERIALS, 2022, : 472 - 482
  • [40] The Control of Civil Engineering Projects Based on Deep Learning and Building Information Modeling
    Wang, Fang
    Chen, Liangqiong
    INFORMATION RESOURCES MANAGEMENT JOURNAL, 2023, 36 (01)