首页> 外文会议>US Rock Mechanics/Geomechanics Symposium >Study on rock mass classification method based on geological investigation in NATM
【24h】

Study on rock mass classification method based on geological investigation in NATM

机译:基于Natm地质调查的基于地质调查的岩体分类方法研究

获取原文

摘要

In order to construct mountain tunnels rationally and safely, observational construction method has been employed. The necessity for such observation relating to the behavior of tunnel and surrounding ground means that there are so many uncertainties in the tunnel construction process. Uncertainties are inaccuracy in the geological survey before construction start, many assumptions in the design of tunnel supports, difference between design and constructed result and so on. Especially rock mass classification is important, because a design of tunnel supports and tunneling method is carried out based on the pre- investigated result under the condition of budget and construction period. However the item in pre-investigation might be limited. And rock mass class selected in the design is often different from that of actual condition. In this paper, rock mass classification result based on the advancing boring from tunnel face is compared with actually constructed rock mass class. Authors also discussed about rock mass classification process with geological engineers who have had many experiences in pre-investigation and advancing boring. As a result, it was suggested that rock mass classification table given in the standard cannot exactly provide a good result. So rock mass classification process should be examined in detail and a new scheme to have more reliable classification results should be discussed.
机译:为了合理和安全地构建山隧道,采用了观察施工方法。这种观察结果与隧道和周围地面的行为有关的必要性意味着隧道施工过程中存在如此多的不确定性。建设开始前的地质调查中的不确定性是不准确的,隧道设计设计中的许多假设,设计和构造成果之间的差异等。特别是岩石质量分类很重要,因为基于预算和施工期的预测结果进行了隧道支撑和隧道方法的设计。然而,预调查中的物品可能有限。在设计中选择的岩石质量类通常与实际情况不同。本文将基于隧道面钻孔钻孔的岩石质量分类结果与实际构造的岩石群体进行比较。作者还讨论了与地质工程师的岩石大众分类过程讨论过,他们在预调查和推进无聊的经历。结果,建议标准中给出的岩石质量分类表不能完全提供良好的结果。因此,应详细检查岩体质量分类过程,并讨论具有更可靠的分类结果的新方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号