4.6 Article

Security monitoring of a large-scale and complex accumulation slope: an application in the Xiluodu hydropower station

期刊

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10064-014-0637-1

关键词

Accumulation slope; Geological modeling; 3D nephogram; Tractive landslide; Early warning

资金

  1. National Basic Research Programme of China (973 Programme) [2011CB013504]
  2. National Natural Science Foundation of China [50909038, BK2011743]
  3. Research Innovation Project of Science and Technology for College graduates in Jiangsu Province [CXLX12_0242]

向作者/读者索取更多资源

The security and stability of accumulation slopes are significant concerns in the field of engineering. In this study, a 3D geological model was established in VISUALBASIC. NET with the use of NURBS surface technology. Rock cores from the virtual drilling and deformation curve of measuring points were comprehensively analyzed to determine the location zone and distribution law of slip faults. 3D cloud maps of monitoring data on clinometer holes were used to identify the deformation and failure mode of the accumulation slope. Analyses show that a significant slip plane exists at a depth of 28.5-29.5 m. The accumulation slope comes from a tractive landslide and is in the stage of creeping deformation. The calculated safety factor indicated that the accumulation slope may be caused by failure as an effect of heavy rains and earthquake, and the early warning research is very important. The data obtained were applied to examine the instability warning indexes, criteria, and thresholds of the accumulation slope. The results achieved dynamic optimization design and information construction based on feedback analysis of various data. These findings can assist in early warnings for disaster management, provide important safeguards to ensure that key support parts are available, and ensure stable engineering operations. The proposed approach can also be used as a valuable reference for other similar projects.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据