Cluster Computing

, Volume 22, Supplement 4, pp 8529–8539 | Cite as

Load-computational methods of anti-slide piles

  • Wei Zhong
  • Tao Yang
  • Na HeEmail author
  • Tom Cosgrove


Anti-slide piles composed of reinforced concrete are commonly used in landslide mitigation engineering. How to calculate the load acting on the piles plays a crucial role in their design process. To estimate the load exerted on anti-slide piles based on the partial safety factor numerical method and limit equilibrium method, the landslide body is subdivided into two independent parts according to the positions of piles: the lower part of the landslide body and the upper one of the landslide body. The corresponding loads acting on the anti-slide piles are respectively computed, and the shear strength of the upper section of the landslide body can be determined according to the given designed safety factors. The locations of the piles are set as the fixed boundary, and the horizontal stress exerted on the anti-slide piles from the upper one of the landslide body is taken as the landslide thrust. The thrust forces are then applied to the lower portion of the landslide body, and the maximum force that the lower of the landslide body can effectively resist, and that satisfies well the given designed safety factors is taken as the maximum resistance of the lower portion of the landslide body. Comparing the results of the numerical computational method, the strict slice method and transfer coefficient method, it is found that the computational results agree well with each other. However, the numerical computational method is employed here in this research because the load distribution can be directly derived, which favors the subsequent calculation process and shortens the computational time.


Anti-slide pile Numerical computational method Safety factor Landslide mitigation 



The authors acknowledge Identification and Risk Analysis of Potential Mega Geo-hazards along China-Pakistan Economic Corridor (41661144028), Science and Technology Service Network Initiative (KFJ-EW-STS-094), the National Natural Science Foundation of China (41302284 & 51178402), Department of Transportation Technology Projects (2011 318 740 240) and the doctoral fund of Henan Polytechnic University (Grant No B2015-58).


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Key Laboratory of Mountain Hazards and Surface ProcessesChinese Academy of SciencesChengduChina
  2. 2.Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina
  3. 3.School of Civil EngineeringSouthwest Jiaotong UniversityChengduChina
  4. 4.School of Civil EngineeringHenan Polytechnic UniversityJiaozuoChina
  5. 5.Department of Civil Engineering & Materials ScienceUniversity of LimerickLimerickIreland

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