Buy article PDF
Instant access to
the full article PDF
for the next 48 hrs
US$ 35
|
Geomechanics and Engineering Volume 8, Number 5, May 2015, pages 631-647 DOI: https://doi.org/10.12989/gae.2015.8.5.631 |
|
|
|
An optimal classification method for risk assessment of water inrush in karst tunnels based on the grey system |
||
Z.Q. Zhou, S.C. Li, L.P. Li, S.S. Shi and Z.H. Xu
|
||
| Abstract | ||
| Engineers may encounter unpredictable cavities, sinkholes and karst conduits while tunneling in karst area, and water inrush disaster frequently occurs and endanger the construction safety, resulting in huge casualties and economic loss. Therefore, an optimal classification method based on grey system theory (GST) is established and applied to accurately predict the occurrence probability of water inrush. Considering the weights of evaluation indices, an improved formula is applied to calculate the grey relational grade. Two evaluation indices systems are proposed for risk assessment of water inrush in design stage and construction stage, respectively, and the evaluation indices are quantitatively graded according to four risk grades. To verify the accuracy and feasibility of optimal classification method, comparisons of the evaluation results derived from the aforementioned method and attribute synthetic evaluation system are made. Furthermore, evaluation of engineering practice is carried through with the Xiakou Tunnel as a case study, and the evaluation result is generally in good agreement with the field-observed result. This risk assessment methodology provides a powerful tool with which engineers can systematically evaluate the risk of water inrush in karst tunnels. | ||
| Key Words | ||
| optimal classification method; GST; risk assessment; water inrush; engineering application | ||
| Address | ||
| Geotechnical and Structural Engineering Research Center, Shandong University, Ji\'nan 250061, Shandong, China. | ||