Abstract Using the Yangtze River Tunnel as an example, the risk assessment of a water burst in an underwater tunnel was carried out using a geographic information system (GIS) and numerical simulation. Firstly, the assessment units were divided on the horizontal and longitudinal sections of tunnel. Secondly, the data obtained by numerical simulations were converted in the GIS to form a relative database which can judge the shear failure and tensile failure in each assessment unit by the Mole-Coulomb criteria and maximum tensile strain criteria, respectively. Thirdly, each unit of water burst in the horizontal section was analyzed to search for potential passage for a water burst. Finally, the water-burst risk level was classified based on the above results and the percentages of water burst units as well as the allowable settlement standard. As for the water burst risk, the analyzed and calculated results show that it is 72% for the risky units, 19% for the moderate units, 9% for the safe units in the longitudinal profile, and 12% for the units with potential water burst passages, to which a high level of attention should be paid.
Abstract：
Using the Yangtze River Tunnel as an example, the risk assessment of a water burst in an underwater tunnel was carried out using a geographic information system (GIS) and numerical simulation. Firstly, the assessment units were divided on the horizontal and longitudinal sections of tunnel. Secondly, the data obtained by numerical simulations were converted in the GIS to form a relative database which can judge the shear failure and tensile failure in each assessment unit by the Mole-Coulomb criteria and maximum tensile strain criteria, respectively. Thirdly, each unit of water burst in the horizontal section was analyzed to search for potential passage for a water burst. Finally, the water-burst risk level was classified based on the above results and the percentages of water burst units as well as the allowable settlement standard. As for the water burst risk, the analyzed and calculated results show that it is 72% for the risky units, 19% for the moderate units, 9% for the safe units in the longitudinal profile, and 12% for the units with potential water burst passages, to which a high level of attention should be paid.
.GIS-Based Risk Assessment of a Water Burst in an Underwater Tunnel:
A Case Study of the Yangtze River Tunnel in Wuhan[J] MODERN TUNNELLING TECHNOLOGY, 2013,V50(4): 104-108
2013, Vol. 50 