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Building Information Model (BIM) and Geotechnical Baseline Report (GBR) for improving Project Management Tools of Underground Works

  • Muhammad Tajammal KHAN (Department of Civil Engineering, School of Engineering, The University of Tokyo) ;
  • Masahide HORITA (Department of Civil Engineering, School of Engineering, The University of Tokyo)
  • Published : 2024.07.29

Abstract

Among various risk factors that need managing in large scale complex infrastructure projects, geotechnical risk is one of the most prominent factor particularly for underground works like tunnels. Uncertainties in soil conditions cannot be avoided 100% even after extensive geotechnical investigations. Therefore, underground works face large delays and cost overrun especially for hydropower projects in developing countries. Its uncertainty ex ante and ex post directly cause increased transaction cost in terms of contract administration, claims, variation orders and disputes. It also reduces trust and increases opportunistic behaviors due to asymmetric information between the parties. Subsequently, parties are spending more time on claim management rather than handling the project execution. Traditional project management tools are becoming less effective under these conditions. FIDIC published the Conditions of Contract for Underground Works wherein a Geotechnical Baseline Report (GBR) sets out the allocation of risks between the parties for subsurface physical conditions determining the foreseeable and unforeseeable conditions. At the same time, Building Information Modeling (BIM) is being adopted for efficient design, quality control and cost management. In this study, soil classification along the tunnel alignment for on-going hydropower projects is modelled in the virtual environment of Autodesk Revit (2024). The actual soil encountered along the tunnel during construction stage can be compared with the baseline conditions. In addition, BIM serves as a central source providing symmetric information to the Parties to develop an environment of trust and coordination. It is anticipated that these tools will improve the project management skills for underground works through minimizing the opportunistic behavior and transaction cost.

Keywords

Acknowledgement

This work was supported by JSPS KAKENHI Grant Number JP22H01561.

References

  1. Robinson, G., Leonard, J., Whittington, T., "Future of Construction: A Global Forecast for Construction to 2030", Marsh & Guy Carpenter, Oxford Economics: London, UK, 2021. 
  2. https://www.iea.org/reports/hydropower-special-market-report/executive-summary, the page was accessed on January 19, 2024. 
  3. Hata, K., "Evaluation of Tunnel Rock Mass Using Deep Learning", Japanese Society of Civil Engineers, (2022), Vol. 10, 260-274 
  4. Esmailzadeh, A., Shirzad, P. J., and Haghshenas, S. S., "Technical Analysis of Collapse in Tunnel Excavation and Suggestion of Preventing Appropriate Applicable Methods (Case Study: Sardasht Dam Second Diversion Tunnel)", Civil Engineering Journal, 2017, Vol. 3, No. 9, DOI: 10.21859/cej-03095 
  5. Imteyaz, W., and Mishra, S., "Failure of tunnels across the world: Case study", Expanding Underground Knowledge and Passion to Make a Positive Impact on the World, First Edition, CRC Press (2023): DOI: 10.1201/9781003348030-234 
  6. https://www.thenews.com.pk/print/1016930-report-identifies-11-reasons-for-tunnel-collapse-in-neelum-jhelum-project, the page was accessed on December 25, 2023. 
  7. https://www.bbc.com/news/world-asia-india-67551478, the page was accessed on Dec. 25, 2023. 
  8. FIDIC Conditions of Contract for Underground Works (2019): Emerald Book; first edition. 
  9. Hosseinian, S. M., Carmichael, D. G., "Optimal Incentive Contract with Risk-Neutral Contractor" Journal of Construction Engineering and Management, 2013, 139(8): 899-909. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000663 
  10. Ceric, A., "Strategies for Minimizing Information Asymmetries in Construction Projects: Project Managers' Perceptions", Journal of Business Economics and Management, 2014 Volume 15(3): 424-440. https://doi.org/10.3846/16111699.2012.720601 
  11. You, J., Chen, Y., Wang, W., Shi, C., "Uncertainty, opportunistic behavior, and governance in construction projects", The efficacy of contracts, International Journal of Project Management 36 (2018) 795-807. https://doi.org/10.1016/j.ijproman.2018.03.002 
  12. Kraus, S., "An overview of incentive contracting", Artificial Intelligence 83 (1996) 297-346 
  13. Liu, J., Wang, Z., Skitmore, M., Yan, L., "How Contractor Behavior Affects Engineering Project Value-Added Performance", Journal of Management in Engineering, 2019, Vol. 35(4): 04019012. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000695 
  14. Chang, C. Y., "Principal-Agent Model of Risk Allocation in Construction Contracts and Its Critique", Journal of Construction Engineering and Management, 2014, 140(1): 04013032. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000779 
  15. Construction Law International, Volume 17, Issue, 2022 (A Committee publication from the IBA Energy, Environment, Natural Resources and Infrastructure Law Section tinyurl.com/IBA-SEERIL) 
  16. Gomes, A. R. A., "Considerations on the Practical Development of the Geotechnical Baseline Report (GBR) for the FIDIC Emerald Book and Similar Contract Forms", ITA-AITES World Tunnel Congress, WTC 2020 and 46th General Assembly Kuala Lumpur Convention Centre, Malaysia 15-21 
  17. Mitelman, A., Gurevich, U., "Implementing BIM for conventional tunnels: a proposed methodology and case study", Journal of Information Technology in Construction (ITcon), 2021, Vol. 26, pg. 643-656. DOI: 10.36680/j.itcon.2021.034 
  18. Rich, F., Via, C. G., Bitetti, B., Ragazzo, G., Pepiot, J., Lione, S., "Tunnel Euralpin Lyon-Turin CO08: BIM implementation in conventional tunneling", Expanding Underground. Knowledge and Passion to Make a Positive Impact on the World, Anagnostou, Benardos & Marinos (Eds)-2023. DOI: 10.1201/9781003348030-346 
  19. Fabozzi, S., Biancardo, S. A., Veropalumbo, R., Bilotta, E., "I-BIM based approach for geotechnical and numerical modelling of a conventional tunnel excavation", Tunnelling and Underground Space Technology 108 (2021) 103723. https://doi.org/10.1016/j.tust.2020.103723 
  20. Zou, Y., Kiviniemi, A., Jones, S. W., "BIM-based Risk Management: Challenges and Opportunities", Procurement of the 32nd CIB W78 Conference 2015, 27th-29th October 2015, Eindhoven, The Netherlands 
  21. Moshtaghian, F., Golabchi, M., Noorzai, E., "A framework to dynamic identification of project risks", Smart and Sustainable Built Environment © Emerald Publishing Limited 2046-6099 
  22. Tomek, A. and Matejka, P., "The impact of BIM on risk management as an argument for its implementation in a construction company", Procedia engineering 85(2014)501-509 
  23. Jamil, A. H. A., Fathi, M. S., "Contractual issues for Building Information Modelling (BIM)- based construction projects: An exploratory case study", 10th Asia Pacific Structural Engineering and Construction Conference 2018, IOP Conf. Series, Materials Science and Engineering (2019) 012035 
  24. Arensman, D. B., Ozbek, M. E., "Building Information Modeling and Potential Legal Issues", International Journal of Construction Education and Research, 8:2, 146-156 
  25. Sibaii, M. E., Granja, J., Bidarra, L., Azenha M., "Towards efficient BIM use of geotechnical data from geotechnical investigations", Journal of Information Technology in Construction (ITcon), 2022, Vol. 27, pg. 393-415. DOI: 10.36680/j.itcon.2022.019 
  26. Erharter, G. H., Weil, J., Bacher, L., Heil, F., Kompolschek, P., "Building information modelling-based ground modelling for tunnel projects", Tunnelling and Underground Space Technology 135 (2023) 105039. https://doi.org/10.1016/j.tust.2023.105039 
  27. Handbook, Using the Q-system, Rock mass classification and support design, Norweign Geotechnical Institute, New Edition (2022), Postboks 3930, Ulleval Stadion, 0806 OSLO, Norway, www.ngi.no 
  28. Hoek, E., Kaiser, P. K. and Bawden, W. F., Support of Underground Excavations in Hard Rock, A. A. Balkema/ Rotterdam/ Brookfield, Edition (1995) 
  29. Hydropower Project Documents and Data: Detailed Engineering Design, Bidding Document, Contract Document, Progress Reports, and other related data.