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http://dx.doi.org/10.9711/KTAJ.2016.18.1.001

TBM risk management system considering predicted ground condition ahead of tunnel face: methodology development and application  

Chung, Heeyoung (School of Civil, Environmental and Architectural Engineering, Korea University)
Park, Jeongjun (Advanced Infrastructure Research Team, Korea Railroad Research Institute)
Lee, Kang-Hyun (Corporate Strategy & Policy Research Division, Korea Expressway Corporation Research Institute)
Park, Jinho (School of Civil, Environmental and Architectural Engineering, Korea University)
Lee, In-Mo (School of Civil, Environmental and Architectural Engineering, Korea University)
Publication Information
Journal of Korean Tunnelling and Underground Space Association / v.18, no.1, 2016 , pp. 1-12 More about this Journal
Abstract
When utilizing a Tunnel Boring Machine (TBM) for tunnelling work, unexpected ground conditions can be encountered that are not predicted in the design stage. These include fractured zones or mixed ground conditions that are likely to reduce the stability of TBM excavation, and result in considerable economic losses such as construction delays or increases in costs. Minimizing these potential risks during tunnel construction is therefore a crucial issue in any mechanized tunneling project. This paper proposed the potential risk events that may occur due to risky ground conditions. A resistivity survey is utilized to predict the risky ground conditions ahead of the tunnel face during construction. The potential risk events are then evaluated based on their occurrence probability and impact. A TBM risk management system that can suggest proper solution methods (measures) for potential risk events is also developed. Multi-Criterion Decision Making (MCDM) is utilized to determine the optimal solution method (optimal measure) to handle risk events. Lastly, an actual construction site, at which there was a risk event during Earth Pressure-Balance (EPB) Shield TBM construction, is analyzed to verify the efficacy of the proposed system.
Keywords
TBM; Risk management; Ahead of tunnel face; Risky ground prediction; MCDM;
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Times Cited By KSCI : 5  (Citation Analysis)
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