Prediction Study of Tunnel Collapse Risk in Advance based on Efficacy Coefficient Method and Geological Forecast
Collapse is one of the most common accidents in underground constructions. Risk evaluation is the method of measuring the risk of chamber collapse. To ensure the safety of construction, a risk evaluation model of tunnel collapse based on an efficacy coefficient method and geological prediction was...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Eastern Macedonia and Thrace Institute of Technology
2014-08-01
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| Series: | Journal of Engineering Science and Technology Review |
| Subjects: | |
| Online Access: | http://www.jestr.org/downloads/Volume7Issue4/fulltext257414.pdf |
| Summary: | Collapse is one of the most common accidents in underground constructions. Risk evaluation is the method of measuring
the risk of chamber collapse. To ensure the safety of construction, a risk evaluation model of tunnel collapse based on an
efficacy coefficient method and geological prediction was put forward. Based on the comprehensive analysis of collapse
factors, five main factors including rock uniaxial compressive strength, surrounding rock integrated coefficient, state of
discontinuous structural planes, the angle between tunnel axis and major structural plane and underground water were
chosen as the risk evaluation indices of tunnel collapse. The evaluation indices were quantitatively described by using
TSP203 system and core-drilling to establish the risk early warning model of tunnel collapse based on the basic principle
of the efficacy coefficient method. The model established in this research was applied in the collapse risk recognition of
Kiaochow Bay subsea tunnel in Qingdao, China. The results showed that the collapse risk recognition method presents
higher prediction accuracy and provided a new idea for the risk prediction of tunnel collapse. |
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| ISSN: | 1791-2377 1791-2377 |