Geomechanics and Engineering

  • 제36권6호
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  • Pages.631-640
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  • 2024
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Reliability analysis of soil slope reinforced by micro-pile considering spatial variability of soil strength parameters

  • Yuke Wang (School of Water Conservancy and Transportation, Zhengzhou University) ;
  • Haiwei Shang (School of Water Conservancy and Transportation, Zhengzhou University) ;
  • Yukuai Wan (School of Civil and Hydraulic Engineering, Ningxia University) ;
  • Xiang Yu (School of Water Conservancy and Transportation, Zhengzhou University)
  • 투고 : 2022.08.03
  • 심사 : 2024.03.18
  • 발행 : 2024.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

In the traditional slope stability analysis, ignoring the spatial variability of slope soil will lead to inaccurate analysis. In this paper, the K-L series expansion method is adopted to simulate random field of soil strength parameters. Based on Random Limit Equilibrium Method (RLEM), the influence of variation coefficient and fluctuation range on reliability of soil slope supported by micro-pile is investigated. The results show that the fluctuation ranges and the variation coefficients significantly influence the failure probability of soil slope supported by micro-pile. With the increase of fluctuation range of soil strength parameters, the mean safety factor of the slope increases slightly. The failure probability of the soil slope increases with the increase of fluctuation range when the mean safety factor of the slope is greater than 1. The failure probability of the slope increases by nearly 8.5% when the fluctuation range is increased from δv=2 m to δv =8 m. With the increase of the variation coefficient of soil strength parameters, the mean safety factor of the slope decreases slightly, and the probability of failure of soil slope increases accordingly. The failure probability of the slope increases by nearly 31% when the variation coefficient increases from COVc=0.2, COVφ=0.05 to COVc=0.5, COVφ=0.2.

키워드

과제정보

The research described in this paper was financially supported by Natural Science Foundation of Henan (232300421069); Central Plains Science and Technology Innovation Leader Project (234200510014); Program for Science and Technology Innovation Talents in Universities of Henan Province (24HASTIT014); Natural Science Foundation of Ningxia (2023AAC03036) and the First Class Discipline Construction in Ningxia (No. NXYLXK2021A03); Project of Science and Technology Department of Henan Provincial Department of Transportation (2022-5-5). These financial supports are gratefully acknowledged; Henan Provincial Key Laboratory of Grain and Oil Warehousing Construction and Safety Open Subjects (2020KF-B06).

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