Modern Civil and Structural Engineering

Download PDF (459.4 KB) PP. 11 - 17 Pub. Date: April 3, 2018

DOI: 10.22606/mcse.2018.22001

• Ding Jihui^*
  Department of Civil Engineering, College of Civil Engineering and Architecture, Hebei University, Baoding, 071002, China
• Xiang Mengjia
  Department of Civil Engineering, College of Civil Engineering and Architecture, Hebei University, Baoding, 071002, China
• Shen Yu
  Supervision office, Shanghai Electronics Industry School, Minhang District, Shanghai 200240, China
• Wei Yaxing
  Department of Civil Engineering, Colege of Civil Engineering and Architecture, Hebei University, Baoding, 071002, China
• Huang Jie
  Department of Civil Engineering, Colege of Civil Engineering and Architecture, Hebei University, Baoding, 071002, China

Taking a rock slope in Qinhuangdao as an example, the non-probabilistic reliability model of rock slope stability is established, and the interval method is applied to the non-probabilistic reliability analysis of rock slope stability. It can provide a simple and effective calculation method for the stability analysis of actual slope engineering. According to the safety factor and reliability index, the slope angle is optimized, continuously decreasing 1 degree until the safety factor F is greater than 1.2 on the basis of the original angle. The influence of rock mass parameter variability on the non-probabilistic reliability index of rock slope stability is discussed. The influence of rock mass parameter change on the position of sliding surface is considered. According to the position of different sliding surfaces, the relationship between the variability of rock weight (γ), cohesion (c), internal friction angle (ϕ) and non-probabilistic reliability index (η) is analyzed. Variations of the geotechnical parameters on slope stability are mostly negative. Therefore, in the actual project, the range of the geometric parameters must be strictly controlled.

Interval analysis; non-probabilistic reliability; slope angle optimization; sliding surface; sensitivity analysis

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