文章摘要
袁广祥.勘察阶段洞室围岩质量预测的问题探讨[J].地质与勘探,2018,54(1):158-165
勘察阶段洞室围岩质量预测的问题探讨
Research on prediction of wall-rock mass quality for underground caverns during geotechnical surveys
投稿时间:2016-05-16  修订日期:2017-04-12
DOI:10.12134/j.dzykt.2018.01.017
中文关键词: 勘察 洞室 围岩质量 预测
英文关键词: geotechnical survey, cavern, wall rock quality, prediction
基金项目:国家自然科学基金项目(编号:41402269)、河南省科技创新人才计划(编号:154100510006)、河南省重点科技攻关项目(编号:152102210111)、河南省高等学校青年骨干教师资助计划(编号:2015GGJS-105)和华北水利水电大学青年科技创新人才项目资助
作者单位E-mail
袁广祥 华北水利水电大学资源与环境学院河南郑州 新疆工程学院新疆乌鲁木齐 中国铁道科学研究院北京 yuanguangxiang@126.com 
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中文摘要:
      因围岩质量评价对地下洞室的设计、施工具有重要作用,因此勘察规范对洞室围岩质量评价具有明确的规定。围岩质量评价方法很多,但在勘察阶段,围岩质量的评价结果与实际情况有很多差别。造成这种问题的主要原因是岩体质量评价需要准确而丰富的工程地质数据,而在察阶段,洞室围岩的直接数据有限,多为间接数据(物探数据)和推测数据(以地表工程地质测绘数据和钻孔数据为基础进行推测),仅依靠某一种数据不可能较准确地评价岩体。本文提出以下基于多种数据分析改进预测的方法:根据勘察阶段所获得的工程地质数据,以钻孔中岩心质量与测井数据之间的关系为基础,建立岩体质量与地球物理参数之间的关系,比较多种地球物理参数,可以帮助预测目标围岩质量。比较了某花岗岩体中钻孔随深度变化的BQ值曲线、RQD曲线、测井曲线和电磁法物探剖面,发现岩体质量与物探异常之间有一定的对应关系,结合钻孔数据,有助于改进岩体特征预测。
英文摘要:
      Assessment of wall rock quality is important to the design and construction of underground caverns. All codes for geotechnical surveys have definite rules for the wall-rock quality assessment. The methods to evaluate wall mass quality have a large number, but their prediction results tend to be much different from real situations in a survey stage. The reason is that such assessment needs many accurate data, but the direct data of surrounding rock is usually limited in the survey stage. Most data are indirect data (from geophysical surveys) and inferred data (based on surface geotechnical mapping and drilling) data. Thus, it is impossible to well assess wall rock solely relying on a single data set. This paper presents an improvement to this aspect based on analysis of multiple data. Using data from surveys, the relationship between the drill core quality and the logging data is established. Then we examine how the quality of wall rock relates to each geophysical parameter. Finally, comparing geophysical profiles and drill data permits to help predict the features of wall rock. As an example, we compare curves of BQ, RQD, log and an electromagnetic profile of a drill hole in granite and known wall rock quality. We find that the geophysical anomalies correspond roughly to the quality of the wall rock quality. It means that comprehensive analysis of geologic, geophysical and drilling data can help improve the prediction of wall-rock quality during geotechnical survey.
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