摘要
丰宁抽水蓄能电站地下厂房洞室群开挖规模大,在施工过程中,围岩变形量大,开挖后变形缓慢增长,收敛较慢,给支护造成了极大的困难,针对上述问题,本文以河北丰宁抽水蓄能电站一期地下厂房洞室群开挖为工程背景,结合施工地质条件,总结了一期地下厂房施工期洞室群围岩变形监测结果,分析了地质条件对围岩变形的影响,采用块体理论对不利结构面组合切割形成的定位块体进行识别和稳定性分析,最终阐明了导致围岩变形的量值特征、分布规律和时效特征的主要原因,研究成果能够为保障丰宁抽水蓄能电站地下厂房的长期稳定提供依据。
The excavation scale of underground powerhouse cavern group of Fengning pumped storage power station is large.In the construction process,the deformation of surrounding rock is large,and the deformation increases slowly after excavation,and the convergence is slow,which causes great difficulties to the support.In view of the above problems,this paper takes the excavation of underground powerhouse cavern group of Fengning pumped storage power station Phase I in Hebei province as the engineering background.Combined with the construction geological conditions,the deformation monitoring results of surrounding rock of underground powerhouse cavern group of Phase I in the construction period are summarized,and the influence of geological conditions on the deformation of surrounding rock is analyzed.The block theory is used to identify and analyze the stability of the positioning block formed by the combined cutting of unfavorable structural planes.Finally,the main reasons for the quantitative characteristics,distribution law and aging characteristics of surrounding rock deformation are clarified.The research results can provide a basis for the long-term stability of the underground powerhouse of Fengning Pumped Storage Power Station.
作者
王波
黄子康
王兰普
马雨峰
孔张宇
吕风英
WANG Bo;HUANG Zikang;WANG Lanpu;MA Yufeng;KONG Zhangyu;LV Fengying(School of Emergency Technology and Management,North China Institute of Science and Technology,Yanjiao,065201,China;Hebei Fengning Pumped Storage Co.,Ltd.,Hebei Fengning 068350,China)
出处
《华北科技学院学报》
2022年第5期42-54,共13页
Journal of North China Institute of Science and Technology
基金
河北省自然科学基金面上项目(E2022508023)
中央引导地方科技发展资金项目(226Z4101G)
国网新源公司科技项目(SGXY-2020F09-2-37)。
关键词
抽水蓄能电站
地下厂房洞室群
监测数据分析
围岩变形机制
pumped storage power station
underground powerhouse cavern group
monitoring data analysis
deformation mechanism of surrounding rock
