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白鹤滩水电站初始地应力场研究分析
引用本文:金长宇,冯夏庭,张春生.白鹤滩水电站初始地应力场研究分析[J].岩土力学,2010,31(3):845-850.
作者姓名:金长宇  冯夏庭  张春生
作者单位:1. 中国水电顾问集团华东勘测设计研究院,杭州 310014;2. 中国科学院 武汉岩土力学研究所岩土力学与工程国家重点实验室,武汉 430071
基金项目:中国科学院岩土力学与工程国家重点实验室资助,青年科学基金资助项目 
摘    要:金沙江下游拟建的白鹤滩水电站上接乌东德梯级,下邻溪洛渡梯级,是继三峡和溪洛渡之后又一座千万千瓦级的水电站。白鹤滩水电站采用地下式厂房,其厂房的高度和跨度分别为78.5 m和32 m。为了保证地下洞室群围岩的稳定性,需要准确掌握初始地应力场的方向和大小。依据地质构造作用和现场实测方法分析发现,白鹤滩水电站左、右岸的初始地应力场,由于受到河流侵蚀和岸坡卸荷等因素影响,两岸厂区的地应力场方向在局部产生一定的偏转,从该地区的NWW方向变为NE方向,通过数值反演方法对计算区域的边界条件进行回归,与实测值比较确定回归边界条件的合理性和准确性。

关 键 词:初始地应力场  反演  地质构造  神经网络  
收稿时间:2009-03-04

Research on initial stress field of Baihetan hydropower station
JIN Chang-yu,FENG Xia-ting,ZHANG Chun-sheng.Research on initial stress field of Baihetan hydropower station[J].Rock and Soil Mechanics,2010,31(3):845-850.
Authors:JIN Chang-yu  FENG Xia-ting  ZHANG Chun-sheng
Institution:1. East China Hydropower Investigation and Design Institute, CHECC, Hangzhou 310014, China; 2. State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
Abstract:A planned Baihetan hydropower station on the lower reaches of the Jinsha River, located between the hydropower stations of Wudongde and Xiluodu, is the third biggest hydropower station following the Three Gorges project and the Xiluodu power station. The station will have an installation capacity of 10 million kW. Baihetan hydropower station uses underground powerhouse, of which height and span respectively are 78.5 m and 32 m. To guarantee stability of wall rock of underground cavern, it is necessary to know the magnitude and direction of initial in-situ stress field exactly. Based on geological structure analysis and field testing, it is found that the directions of initial in-situ stress fields of both banks of Baihetan hydropower station, which are influenced by factors, such as fluvial erosion and slope unloading deflect from NWW to NE partly. Numerical inverse method is used to inverse boundary conditions of study area, it has rationality and veracity by comparing with measuring values.
Keywords:initial stress field  back analysis  geological structure  neural network
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