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Reliability Analysis of Weak Rock Slope in Laohuding Mining Area, Jixian County, Tianjin City

Author: GuoZuo
Tutor: WangQing;ChenJianPing
School: Jilin University
Course: Geotechnical Engineering
Keywords: Weak rock slope reliability analysis RMR SMR probability distribution of parameter Generalized Spline Probatility Distribution
CLC: TU457
Type: Master's thesis
Year: 2011
Downloads: 71
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Abstract


Mudrock and shale, examples of weakrock as the most widespread on the surface of the earth, takes 50% distribution of the exposed rock on the earth. The geological engineering properties of them, such as yielding at low stress, spalling, slaking, rapid chainging of strength and slaking when meet water, is of rarly benefit to the people. Therefore, the disasters in tunneling engineering and slope engineering happened a lot in the history.Relying on the project of reclaiming and environmental remediation of Laohuding Mining area, in Jixian County, Tianjin City, the engineering geological investigation of weak rock area at the back part of Laohuding Minging area was carried out. During witch, totally nine slope profiles of three shale slopes (numbered as 12,13,14) were drawn. The slope is composed of shale and shale interbedded with sandstone, belonging to Xiamaling Group, Qingbaikou System, which is highly weathered and in low strength. According to the in situ description and point load strength test for pickable spicemen, the shale is classified as a weak rock. Taking five corss-sections (Ⅰ-Ⅰ,Ⅱ-Ⅱ,Ⅲ-Ⅲ,Ⅳ-Ⅳ,Ⅴ-Ⅴ) of No.13 slope as examples, applying Rock Mass Rating (RMR) and Slope Mass Rating (SMR) classification systems, the slope rock mass was classified as Poor and Bad. By Orr’s and Martin’s regression relationships for rock mass classification and typical (mean) and minimum slope angle, the mean and safety slope angles were calculated and the results indicate that almost all cross-sections are not stable. Based on the engineering geological analysis to the No.13 slope, the stereographic projection shows that the toppling may occure on this slope. The slip surfaces with minimum factor of safety were searched on each cross-section using Bishop, Mongenstern-Price and Sarma method as well as calculating factor of safety. The results shows that most factors of safety are slightly larger than 1.0. Subsequently, the reliability analysis based on Bishop method as well as unit weight, Cohesion and internal friction angle obeying either normal distribution or Generalized Spline Probability Distribution were performed on each cross-section with an result that almost every factor of safety are slightly larger than 1.0 with an excetption of cross-sectionⅠ-Ⅰless than 1.0, but, the failure may still occure on all cross-sections with a certain probability of failure repectively. Refer associated standard or provision, set factor of safety as 1.35 and 1.50 as two schemes of planning factor of safety, aiming to which, slope cutting were taken to each cross-section.Due to that the physical and mechanical parameters of slope rock can not be described by ideal probability distribution type in the reliability analysis for No.13 slope, a grouped reliability analysis was taken on an assumed homogeneous slope while the parameters following different probability distributions. By which, as a result, the influence of different probability distributions of every parameter on reliability analysis were in various ways, but the factors of safety were mostly normal distributed or lognormal distributed.The research in this paper indicates that the reliability analysis is an effective method for evaluation of slope stability, however, the probability distribution of parameter influence the reliability analysis in a certain degree. Therefore, before reliability analysis, research on reliability and probability distribution of parameters are very necessary to get correct result of reliability analysis.

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CLC: > Industrial Technology > Building Science > Soil mechanics,foundation engineering > Rock ( rock ) mechanics and rock testing > Rock stability analysis
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