Slope reliability analysis based on analytical simulation of conditional random fields of rock and soil parameters

被引：0
作者：
Jiang S. [1 ,2 ]
Zeng S. [1 ]
Pan J. [1 ]
Yao C. [1 ]
Yang J. [1 ]
Zhou C. [1 ]
机构：
[1] School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031, Jiangxi
[2] State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, Hubei
来源：
Yao, Chi (chi.yao@ncu.edu.cn) | 2018年 / Academia Sinica卷 / 37期
基金：
中国国家自然科学基金;
关键词：
Conditional random field; Layout scheme of boreholes; Reliability; Slope engineering; Spatial variability; Undrained shear strength;
D O I：
10.13722/j.cnki.jrme.2017.0981
中图分类号：
学科分类号：
摘要：
Conditional random field model can make best use of limited site investigation data to characterize the spatial variation of rock and soil properties more realistically. This paper aims to propose an analytical approach to simulate the 2D anisotropic conditional random field of rock and soil parameters. The procedure of implementation of the proposed approach is presented. A 2D conditional random field model based on the undrained shear strength is constructed and the slope reliability is updated based on the data of field vane shear tests from two boreholes. Then,an example of a clay slope under the undrained conditions is investigated to demonstrate the effectiveness of the proposed approach. The effects of the borehole location and layout scheme of boreholes on the slope reliability are also explored. The results indicate that the proposed approach can fully incorporate the limited site investigation data into the modelling of conditional random fields and realistic characterization of the spatial variation of rock and soil parameters. The obtained realizations of the 2D conditional random field by the proposed approach can reflect the inherent trends of increasing of means and standard deviations of rock and soil parameters with the depth,which make the results of slope reliability analysis more consistent with the engineering practice. The borehole locations and layout scheme of boreholes have the important influences on the slope reliability. The site specific test data acquired from the boreholes which are located in the vicinity of the slope toe can provide more value of information to the evaluation of slope reliability. © 2018, Science Press. All right reserved.
引用
收藏
页码：642 / 651
页数：9
相关论文
共 28 条
  • [1] Asaoka A., A-Grivas D., Spatial variability of the undrained strength of clays, Journal of Geotechnical Engineering Division, 108, 5, pp. 743-756, (1982)
  • [2] Tan W., Wang J., Zhou R., Analysis on spatial variability of strength param eter of rockmass, Chinese Journal of Rock Mechanics and Engineering, 18, 5, pp. 546-549, (1999)
  • [3] Phoon K.K., Kulhawy F.H., Characterization of geotechnical variability, Canadian Geotechnical Journal, 36, 4, pp. 612-624, (1999)
  • [4] Phoon K.K., Kulhawy F.H., Evaluation of geotechnical property variability, Canadian Geotechnical Journal, 36, 4, pp. 625-639, (1999)
  • [5] Zhang J., Miao L., Wang H., Methods for characterizing variability of soil parameters, Chinese Journal of Geotechnical Engineering, 31, 12, pp. 1936-1940, (2009)
  • [6] Cho S.E., Park H.C., Effect of spatial variability of cross-correlated soil properties on bearing capacity of strip footing, International Journal for Numerical and Analytical Methods in Geomechanics, 34, 1, pp. 1-26, (2010)
  • [7] Cao Z.J., Wang Y., Li D.Q., Quantification of prior knowledge in geotechnical site characterization, Engineering Geology, 203, pp. 107-116, (2016)
  • [8] El-Ramly H., Morgenstern N.R., Cruden D.M., Probabilistic slope stability analysis for practice, Canadian Geotechnical Journal, 39, 3, pp. 665-683, (2002)
  • [9] Griffiths D.V., Fenton G.A., Probabilistic slope stability analysis by finite elements, Journal of Geotechnical and Geoenvironmental Engineering, 130, 5, pp. 507-518, (2004)
  • [10] Jiang S., Li D., Zhou C., Et al., Slope reliability analysis considering effect of autocorrelation functions, Chinese Journal of Geotechnical Engineering, 36, 3, pp. 508-518, (2014)
123