ITcon Vol. 26, pg. 643-656,

Implementing BIM for conventional tunnels - a proposed methodology and case study

submitted:February 2021
revised:April 2021
published:September 2021
editor(s):Turk Ž
authors:Amichai Mitelman, Ph.D.
Ph.D. Lecturer, Civil Engineering, Ariel University, Israel.

Ury Gurevich, Ph.D.
PhD, Adjunct Lecturer, Civil and Environmental Engineering, Technion, Israel.
summary:The topic of Building Information Modelling (BIM) adoption by public organizations has become a central subject of research, and a significant amount of BIM documents, guidelines, and standards have been created to meet different organizational purposes. Compared to the building industry, the application of BIM tools for tunnel project management is lagging far behind. This paper proposes a methodology for integrating BIM tools for conventional tunnelling. A fundamental distinction is made between the tunnel internal architectural domain and the external structural domain. For the former, BIM methodology can be applied similarly to the building industry. For the latter, it is suggested that a BIM model be built according to the essential information generated during tunnelling excavation. The proposed methodology was put to test for an actual tunneling project. A routine was established where the supervisor on behalf of the owner was responsible for gathering and reporting essential data in tabular form. Via REVIT's Application Programming Interface (API), a code was developed so that a BIM model was built and updated automatic to data insertion. Ultimately, the final BIM model allows managing up-to-date qualitative and quantitative information visually. Thus, human understanding and interpretation are enhanced for future uses, such as maintenance, future renovations and project post-analysis.
keywords:Building Information Modelling, Tunnelling, NATM, BIM Adoption, Tunnel Maintenance, Knowledge Management
full text: (PDF file, 0.462 MB)
citation:Mitelman A, Gurevich U (2021). Implementing BIM for conventional tunnels - a proposed methodology and case study, ITcon Vol. 26, pg. 643-656,