2024, Vol. 5, Issue 2, Part A
Risk identification and management in mechanized tunneling projects
Author(s): Monika Dadhwal and RS Kesharwani
Abstract: Mechanized tunneling, powered by Tunnel Boring Machines (TBMs), has revolutionized underground construction, delivering efficiency and precision in even the most challenging geological conditions. Yet, beneath the surface lies a web of unpredictable risks—unstable ground, TBM malfunctions, financial pitfalls, and environmental disruptions—all threatening project success. This study dives deep into the art and science of risk management, employing cutting-edge methodologies like Hierarchical Holographic Modeling (HHM), Fuzzy Analytical Hierarchy Process (FAHP), and Fault Tree Analysis (FTA) to dissect, assess, and mitigate threats before they escalate. With a strategic blend of real-time monitoring, geotechnical reinforcements, and AI-driven predictive analytics, this research unveils game-changing solutions for tunneling professionals. The future of underground construction belongs to those who conquer risk, not fear it—and this study is the blueprint to mastering it.
DOI: 10.22271/27078264.2024.v5.i2a.77Pages: 63-71 | Views: 101 | Downloads: 52Download Full Article: Click Here
How to cite this article:
Monika Dadhwal, RS Kesharwani.
Risk identification and management in mechanized tunneling projects. Int J Res Civ Eng Technol 2024;5(2):63-71. DOI:
10.22271/27078264.2024.v5.i2a.77