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Environmental Earth Sciences

, 77:787 | Cite as

Critical slip surface and landslide volume of a soil slope under random earthquake ground motions

  • Yu Huang
  • Liuyuan Zhao
  • Min Xiong
  • Chun Liu
  • Ping Lu
Original Article
  • 52 Downloads

Abstract

Finding the critical slip surface and estimating the landslide volume are of primary importance for slope seismic design. However, this may be difficult due to the uncertainty of ground motions. To address this problem, a new method for calculating uncertainties is recommended in this paper, especially for the critical slip surface and landslide volume under random earthquake ground motions. Firstly, a series of intensity–frequency nonstationary random earthquake ground motions were generated based on an improved orthogonal expansion method. A given number of potential slip surfaces were set in a soil slope. Subsequently, the factor of safety (FOS) of each slip surface for all ground motions was calculated and the minimum FOS curves were obtained. It was found that the critical slip surfaces and failure times are uncertain under different earthquakes. The Monte Carlo method was used to verify the accuracy of probability density evolution method (PDEM), and the results of the PDEM and the Monte Carlo method are consistent, meaning that the PEDM has higher computational efficiency. Moreover, the distributions of earthquake-triggered landslide volume and landslide depth were analyzed by considering equivalent extreme events. Both landslide volume and depth exhibit a normal distribution for a homogeneous soil slope. The framework of this study is meaningful for slope seismic design in engineering, for example, the location of critical slip surface can be used for slope reinforcement, and the distribution of sliding volume can be used for disaster assessment.

Keywords

Slope dynamic stability Critical slip surface Landslide volume Random earthquake ground motions 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant nos. 41625011 and 51778467), the Fundamental Research Funds for the Central Universities, and Tongji Civil Engineering Peak Discipline Plan.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Yu Huang
    • 1
    • 2
  • Liuyuan Zhao
    • 1
  • Min Xiong
    • 1
  • Chun Liu
    • 3
  • Ping Lu
    • 3
  1. 1.Department of Geotechnical Engineering, College of Civil EngineeringTongji UniversityShanghaiChina
  2. 2.Key Laboratory of Geotechnical and Underground Engineering of the Ministry of EducationTongji UniversityShanghaiChina
  3. 3.College of Surveying and Geo-InformaticsTongji UniversityShanghaiChina

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