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Volume 41 Issue 2
Mar.  2022
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Article Navigation >  Bulletin of Geological Science and Technology  > 2022  >  41(2): 91-103
Jia Wei, Luo Changhong, Dong Zhao, Wang Mingfei, Liu Xiaohong, Bao Liulei. Type identification and engineering geology zoning of the unstable slope in Tongkuangling[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 91-103. doi: 10.19509/j.cnki.dzkq.2022.0057
Citation: Jia Wei, Luo Changhong, Dong Zhao, Wang Mingfei, Liu Xiaohong, Bao Liulei. Type identification and engineering geology zoning of the unstable slope in Tongkuangling[J]. Bulletin of Geological Science and Technology, 2022, 41(2): 91-103. doi: 10.19509/j.cnki.dzkq.2022.0057
shu

Type identification and engineering geology zoning of the unstable slope in Tongkuangling

doi: 10.19509/j.cnki.dzkq.2022.0057
  • Received Date: 18 Jun 2021
    Abstract
  • The subgrade, tunnel and bridge engineering of highways or railways may be affected by some geological disasters, especially by unknown disaster types, which directly affects the overall treatment decision.This article takes the Tongkuangling unstable slope on the Yiba Expressway as an example andidentifies the types of the Tongkuangling unstable slope by using field geological surveys, engineering geological analysis and monitoring data analysis. The field investigation shows that this unstable slope is made up of the eluvial deluvial deposit of the upper part and siltstone with an inverted layer of the lower part. Combined with the displacement monitoring data, it is determined that there are multiple shear slip surfaces in the loose deposits. The unstable slope is comprehensively determined to be a deep creep deformation body. Last, according to the characteristics of deformation, the Tongkuangling deformation body is finally divided into two zones, of which zone Ⅱ can be subdivided into two small zones. The Ⅱ2 zone is the key control part. This provides the geological basis for the subsequent treatment design of the deep deformation body.It can be seen that the combination of traditional engineering geological surveys and monitoring data analysis is an effective means to identify the type of geological disasters and determine the boundary range.

     

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