Geomechanics and Engineering

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Strain-based stability analysis of locally loaded slopes under variable conditions

  • Wang, Jia-Chen (School of Earth Sciences and Engineering, Nanjing University) ;
  • Zhu, Hong-Hu (School of Earth Sciences and Engineering, Nanjing University) ;
  • Shi, Bin (School of Earth Sciences and Engineering, Nanjing University) ;
  • Garg, Ankit (Department of Civil and Environmental Engineering, Shantou University)
  • Received : 2019.06.18
  • Accepted : 2020.10.26
  • Published : 2020.11.10
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Abstract

With the rapid development of the distributed strain sensing (DSS) technology, the strain becomes an alternative monitoring parameter to analyze slope stability conditions. Previous studies reveal that the horizontal strain measurements can be used to evaluate the deformation pattern and failure mechanism of soil slopes, but they fail to consider various influential factors. Regarding the horizontal strain as a key parameter, this study aims to investigate the stability condition of a locally loaded slope by adopting the variable-controlling method and conducting a strength reduction finite element analysis. The strain distributions and factors of safety in different conditions, such as slope ratio, soil strength parameters and loading locations, are investigated. The results demonstrate that the soil strain distribution is closely related to the slope stability condition. As the slope ratio increases, more tensile strains accumulate in the slope mass under surcharge loading. The cohesion and the friction angle of soil have exponential relationships with the strain parameters. They also display close relationships with the factors of safety. With an increasing distance from the slope edge to the loading position, the transition from slope instability to ultimate bearing capacity failure can be illustrated from the strain perspective.

Keywords

Acknowledgement

The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China (No. 41722209, 42077235), the National Key Research and Development Program of China (No. 2018YFC1505104), and the Open Fund of Key Laboratory of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences.

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