Geomechanics and Engineering

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Linear regression analysis for factors influencing displacement of high-filled embankment slopes

  • Zhang, Guangcheng (Department of Engineering, China University of Geosciences) ;
  • Tan, Jiansong (CCCC Second Highway Consultants Co. LTD.) ;
  • Zhang, Lu (Department of Engineering, China University of Geosciences) ;
  • Xiang, Yong (Department of Engineering, China University of Geosciences)
  • Received : 2014.04.03
  • Accepted : 2014.12.28
  • Published : 2015.04.25
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Abstract

It is a common failure type that high-filled embankment slope sideslips. The deformation mechanism and factors influencing the sideslip of embankment slope is the key to reduce the probability of this kind of engineering disaster. Taking Liujiawan high-filled embankment slope as an example, the deformation and failure characteristics of embankment slope and sheet-pile wall are studied, and the factors influencing instability are analyzed, then the correlation of deformation rate of the anti-slide plies and each factor is calculated with multivariate linear regression analysis. The result shows that: (1) The length of anchoring segment is not long enough, and displacement direction of embankment and retaining structure are perpendicular to the trend of the highway; (2) The length of the cantilever segment is so large that the active earth pressures behind the piles are very large. Additionally, the surface drainage is not smooth, which leads to form a potential sliding zone between bottom of the backfill and the primary surface; (3) The thickness of the backfill and the length of the anti-slide pile cantilever segment have positive correlation with the deformation whereas the thickness of anti-slide pile through mudstone has a negative correlation with the deformation. On the other hand the surface water is a little disadvantage on the embankment stability.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

References

  1. Anastasopoulos, I., Georgarakos, T., Georgiannou, V., Drosos, V. and Kourkoulis, R. (2010), "Seismic performance of bar-mat reinforced-soil retaining wall: Shaking table testing versus numerical analysis with modified kinematic hardening constitutive model", Soil Dyn. Earthq. Eng., 30(10), 1089-1105. https://doi.org/10.1016/j.soildyn.2010.04.020
  2. Ashour, M., Pilling, P. and Norris, G.M. (2004), "Lateral behavior of pile group in layered soils", J. Geotech. Geoenviron. Eng., 130(6), 580-592. https://doi.org/10.1061/(ASCE)1090-0241(2004)130:6(580)
  3. Gao, Y.T., Zhang, H.J., Sun, J.H. and Wu, S.C. (2004), "Theoretical study on treatment of side slope in high filled embankment and its application in engineering", J. Highway Transport. Res. Develop., 21(9), 9-12.
  4. Han, K. (2013), "Landslide sliding mechanism and stability analysis of highway in Qinghai-Tibet mountainous area", Coal Geol. Explorat., 41(1), 63-67.
  5. Huang, C., Horng, J. and Charng, J. (2008), "Seismic stability of reinforced slopes: failure mechanisms and displacements", Geosynth. Int., 15(5), 333-349. https://doi.org/10.1680/gein.2008.15.5.333
  6. Shen, J., Priest, S.D. and Karakus, M. (2012a), "Determination of Mohr-Coulomb shear strength parameters from generalized Hoek-Brown criterion for slope stability analysis", Rock Mech. Rock Eng., 45(1), 123-129. https://doi.org/10.1007/s00603-011-0184-z
  7. Shen, J., Karakus, M. and Xu, C. (2012b), "Direct expressions for linearization of shear strength envelopes given by the Generalized Hoek-Brown criterion using genetic programming", Comput. Geotech., 44, 139-146. https://doi.org/10.1016/j.compgeo.2012.04.008
  8. Shen, J., Karakus, M. and Xu, C. (2013), "Chart-based slope stability assessment using the Generalized Hoek-Brown criterion", Int. J. Rock Mech. Min. Sci., 64, 210-219.
  9. Smethurst, J.A. and Powrie, W. (2007), "Monitoring and analysis of the bending behavior of discrete piles used to stabilize a railway embankment", Geotechnique, 57(8), 663-677. https://doi.org/10.1680/geot.2007.57.8.663
  10. Strata Systems Inc. (2000), Reinforced soil slopes and embankments, GA, USA.
  11. Sun, Y.Z., Wang, S., Ran, L.T., Liu, D.X. and Yu, R.S. (2013), "Failure mode of high slope of Dabenliugou material field of Jinping Hydropower Station", Yangtze River, 44(6), 6-10.
  12. Vahedifard, F., Leshchinsky, D. and Meehan, C. (2012), "Relationship between the seismic coefficient and the unfactored geosynthetic force in reinforced earth structures", J. Geotech. Geoenviron. Eng., 138(10), 1209-1221. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000701
  13. Wang, Y.M. (2001), "Method of plant protecting in highway subgrade slope", Coal Geol. Explorat., 29(5), 37-39.
  14. Wang, G.X., Wang, Y.X. and Ma, H.M. (2008), 100 Cases of Landslide Prevention, China Communications Press, Beijing, China.
  15. Won, J., You, K., Jeong, S. and Kim, S. (2005), "Coupled effects in stability analysis of pile-slope systems", Comput. Geotech., 32(4), 304-315. https://doi.org/10.1016/j.compgeo.2005.02.006
  16. Wu, K. (2011), "Study on progressive destroy mechanism and protection methods for bedding pane landslide", J. Railway Eng. Soc., 152(5), 13-17.
  17. Zhang, D.C., Xu, Z.M. and Wang, Z.Q. (2011), "Time series analysis of landslide displacement taking the embankment landslide of Chu-Meng Road from K64+200 to K64+228 for instance", Earth Environ., 39(2), 224-230.
  18. Zhao, H.B., Feng, X.T., Li, S.J. and Yin, S.D. (2013), "Forecasting evolution of slope deformation by genetic-support vector machine", Rock Soil Mech., 24(4), 631-633.

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