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机构地区:[1]中交第二公路勘察设计研究院有限公司,武汉430052 [2]成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都610059 [3]浙江华东建设工程有限公司,杭州310030
出 处:《长江科学院院报》2016年第3期75-79,共5页Journal of Changjiang River Scientific Research Institute
基 金:国家自然科学基金项目(40772177)
摘 要:在西南地区岩质边坡高陡的特殊地形条件下,常规的地面地质调查方法难以开展。引入三维激光扫描技术获取边坡体出露的结构面各项几何参数(产状、间距、迹长),然后以这些地质资料为基础,结合结构面网络模拟技术生成不同走向网络图,通过在网络图上布置人工虚拟钻孔来计算得到岩体质量指标(RQD)。结果表明:提出的方法适用性较强,方便可靠,不仅解决了常规地质调查方法在高陡边坡地段难以开展的问题,而且还克服了以往钻孔岩芯获取岩体RQD指标数据少、误差大的缺点,获得岩体RQD指标经过修正后能满足工程实际需求。In southeast of China,conventional geological investigations are hard to carry out due to special terrain of high and steep rock slope. In view of this,we introduce 3D laser scanning technique to collect geometric parameters( occurrence,spacing and depth) of structural planes in the surface of slope. On the basis of geological data,we establish network graphs with different strikes in association with network simulation technique of structural plane. Meanwhile,we layout artificially virtual drills on the network graph to calculate rock quality of designation( RQD). Test results show that the proposed method is of strong applicability,convenience and high reliability. It doesn't have shortages of traditional methods by drilling core,including few data and big error of RQD. Furthermore,the method can be used in high and steep slope which is difficult for geology investigation by traditional methods. Finally,revised RQD parameters of rock mass obtained by the method meet the requirement of actual projects.
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