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| Study on the method for determining deformation parameters of foundation rock mass in a nuclear power project |
| LI Jin1，DU Jianbin2，ZHANG Yihu3，ZHOU Huoming3，PANG Zhengjiang3 |
| (1. China Nuclear Power Design Co.，Ltd.(Shenzhen)，Shenzhen，Guangdong 518031，China；
2. China Nuclear Power Geotechnical Engineering Co.，Ltd.(Hebei)，Shijiazhuang，Hebei 050021，China；
3. Key Laboratory of Geotechnical Mechanics and Engineering of the Ministry of Water Resources Division of Geotechnical Engineering，Changjiang Scientific Research Institute，Wuhan，Hubei 430010，China) |
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Abstract In order to study the non-linear deformation features of bedrock of nuclear power project and its effect on determination of deformation parameters，the indoor uniaxial compression test of large block from a nuclear power project was done under fine control，and the nonlinearity of its deformation features were revealed. The six different methods of getting deformation parameters of bedrock were contrasted，the results revealed that the deformation parameters got by standard indoor compression test and borehole elastic modulus test will be higher because of the higher test stress level. The deformation parameters got by acoustic wave velocity analogy method or rock mass quality classification estimation method are matched with actual stress level in water-power engineering，which will occur error when directly used in nuclear power plants engineering. The in-situ plate load test and back-analyzing method based on monitoring datum are closer to the real value when getting deformation parameters of bedrock of nuclear power plants. It?s suggested that indoor compression test and borehole elastic modulus test should be improved，and the information database including in-situ test，detection and monitor should be formed in the nuclear power project. It is also necessary to refine the in-situ test and the monitoring work when facing with important project or complex foundation and attach importance to the limitation of the test stress level when drawing specifications for the nuclear power industry.
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2019, Vol. 38 
