大岗山水电站地下厂房区三维地应力场反演分析

›› 2011, Vol. 32 ›› Issue (5): 1523-1530.

大岗山水电站地下厂房区三维地应力场反演分析

张勇慧¹，魏倩¹，盛谦¹，冷先伦¹，景锋²

1.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； 2.长江科学院水利部岩土力学与工程重点实验室，武汉 430010

收稿日期:2010-11-27 出版日期:2011-05-10 发布日期:2011-09-23
作者简介:张勇慧，男，1969年生，副研究员，主要从事岩土工程与地质灾害方面的研究
基金资助:
国家973国家重点基础研究发展计划（No. 2010CB732001）；国家自然科学基金（No. 40972202）；国家自然科学基金重大研究计划重点支持项目（No.90715042）；国家自然科学基金培育项目（No.91015010）

Three dimensional back analysis of geostress field in underground powerhouse zone of Dagangshan hydropower station

ZHANG Yong-hui¹, WEI Qian¹, SHENG Qian¹, LENG Xian-lun¹, JING Feng²

1. State Key Laboratory of Geomechanics and Geotechanical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; 2. Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources, Yangtze River Scientific Research Institute, Wuhan 430010, China

Received:2010-11-27 Online:2011-05-10 Published:2011-09-23

摘要/Abstract

摘要： 初始地应力场是地下厂房工程设计和稳定性分析的重要依据，通常工程区实测地应力点较少，必须在有限的地应力资料基础上，采用反演分析方法获得整个工程区地应力场。结合大岗山水电站地形地貌条件和地质结构特征，基于地下厂房区地应力实测资料，研究了地下厂房区地应力场分布特征；在此基础上，采用有限元数学模型多元回归方法，进行了大岗山水电站地下厂房地应力场三维反演分析研究，获得了地下厂房区域地应力分布规律和影响因素的认识。结果表明，大岗山工程区地应力场分布受构造应力、地质构造和地形地貌的综合影响，岩性对地应力影响较小，岩脉与断层影响显著；在地下厂房区最大水平主应力、最小水平主应力、铅直向应力关系为，地应力量值中等，侧压力系数垂直厂房轴线方向为0.5～0.6，轴线方向为1.1～1.3

关键词: 地应力场, 多元回归分析, 反演分析, 大岗山水电站

Abstract: Initial geostress field is very important for engineering design and stability analysis of underground engineering. The back analysis method is often adopted to get the whole geostress field of engineering zone based on the limited measured data. Based on the measured geostress data, geographic and geomorphic conditions and characteristics of geologic framework, the distributing characters of geostress field in underground powerhouse zone of Dagangshan hydropower station are studied. Furthermore, the multiple regression method is applied to back analyze the three dimensional geostress field of underground caverns of Dagangshan hydropower station; and the distributing rule and influence factor of geostress are also discussed. The results show that: the geostress field in underground powerhouse zone of Dagangshan hydropower station is affected by tectonic stress, geologic structure, terrain and physiognomy; among them, lithology has little influence; dyke and fault have great influence; the value of geostress is medium and there is , where is maximum horizontal principal stress; is minimum horizontal principal stress; is vertical stress; the lateral pressure coefficient vertical to powerhouse axis is 0.5～0.6, along powerhouse axis is 1.1～1.3

Key words: geostress, multiple regression method, back analysis, Dagangshan hydropower station

中图分类号:

TV 745

张勇慧，魏倩，盛谦，冷先伦，景锋. 大岗山水电站地下厂房区三维地应力场反演分析[J]. , 2011, 32(5): 1523-1530.

ZHANG Yong-hui , WEI Qian , SHENG Qian , LENG Xian-lun , JING Feng. Three dimensional back analysis of geostress field in underground powerhouse zone of Dagangshan hydropower station[J]. , 2011, 32(5): 1523-1530.

参考文献

相关文章 15

[1]	王庆武，巨能攀，杜玲丽，黄健，胡勇,. 拉林铁路桑日至加查段三维地应力场反演分析[J]. , 2018, 39(4): 1450-1462.
[2]	蒙伟，何川，汪波，张钧博，吴枋胤，夏舞阳. 基于侧压力系数的岩爆区初始地应力场二次反演分析[J]. , 2018, 39(11): 4191-4200.
[3]	张社荣，胡安奎，王超，彭振辉, . 基于SLR-ANN的地应力场三维智能反演方法研究[J]. , 2017, 38(9): 2737-2745.
[4]	李术才，冯啸，刘人太，张乐文，韩伟伟，郑卓. 考虑渗滤效应的砂土介质注浆扩散规律研究[J]. , 2017, 38(4): 925-933.
[5]	李华，李崇标，刘云鹏，韩刚，赵其华,. 中国西南深切峡谷岸坡地应力场基本特征[J]. , 2016, 37(S1): 482-488.
[6]	陈静瑜，赵炼恒，李亮，谭捍华，. 基于Excel数据表和极限分析法的滑坡抗剪强度参数反演分析[J]. , 2016, 37(3): 827-834.
[7]	邱道宏，李术才，张乐文，崔伟，苏茂鑫，谢富东,. 基于隧洞超前地质探测和地应力场反演的岩爆预测研究[J]. , 2015, 36(7): 2034-2040.
[8]	朱才辉，李宁. 基于黄土变形时效试验的高填方工后沉降研究[J]. , 2015, 36(10): 3023-3031.
[9]	汪旭，康飞，李俊杰. 土石坝地震永久变形参数反演方法研究[J]. , 2014, 35(1): 279-286.
[10]	王金安，黄琨，张然 , . 高陡复杂露天矿边坡地应力场分区非线性反演分析[J]. , 2013, 34(S2): 214-221.
[11]	徐坤，王志杰，孟祥磊，孙长升. 深埋隧道围岩松动圈探测技术研究与数值模拟分析[J]. , 2013, 34(S2): 464-470.
[12]	丰成君，陈群策，谭成轩，吴满路，秦向辉. 广东核电站地应力测量及其应用[J]. , 2013, 34(6): 1745-1752.
[13]	何朋立，王在泉，. 考虑温度效应的井壁竖向附加力反演分析[J]. , 2013, 34(12): 3425-3430.
[14]	陈福江，马建林，朱林，乐大维. 考虑压缩模量深度效应的深厚软土桩基沉降计算[J]. , 2012, 33(S2): 167-172.
[15]	裴启涛，李海波，刘亚群. 南水北调西线工程坝区初始地应力场反演分析[J]. , 2012, 33(S2): 338-344.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed