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| Stability analysis of surrounding rock mass of underground caverns at Huanggou hydropower station considering cumulative microseismic damage effect |
| ZHOU Chao1,YIN Jianmin1,ZHOU Chunhua1,2,WANG Yang1,XU Chunmin1#br# |
(1. Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources,Yangtze River Scientific Research Institute,Wuhan,Hubei 430010,China;2. Faculty of Engineering,China University of Geosciences,Wuhan,Hubei 430074,China)
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Abstract Microseismic monitoring,as an indicator to determine the additional damage of rock mass,has been widely used in the identification,delineation and stability evaluation of surrounding damage areas during underground engineering construction. However,how to use the abundant microseismic information to calibrate the mechanical parameters of the rock mass is the key to quantitatively evaluate the damage degree and stability of surrounding rock. Taking Huanggou pumped storage power station as the research background,which is the first pumped storage power station to adopt microseismic monitoring for rockburst,microseismic activity and surrounding rock damage of underground caverns during construction are firstly analyzed. Secondly,a rock mass deterioration model using microseismic apparent volume to determine rock mass damage scale and considering cumulative damage effect is established. Finally,the FISH language is written to embed microseismic data into numerical simulation,and the stability analysis of surrounding rock of underground caverns considering cumulative microseismic damage effect is realized for the first time. The results show that the surrounding rock stability analysis method considering the cumulative microseismic damage effect makes effective use of microseismic information reflecting abnormal activation such as external construction disturbance and geological structure,and that the analysis results of rock damage degree,stress field and plastic zone are in good agreement with microseismic monitoring results. The research work has guiding significance for optimal design of support scheme.
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