DOI QR코드

DOI QR Code

In-situ monitoring and reliability analysis of an embankment slope with soil variability

  • Bai, Tao (School of Civil Engineering and Architecture, Wuhan Institute of Technology) ;
  • Yang, Han (School of Civil Engineering and Architecture, Wuhan Institute of Technology) ;
  • Chen, Xiaobing (School of Transportation, Southeast University) ;
  • Zhang, Shoucheng (Wuhan Municipal Engineering Design & Research Institute Co., Ltd.) ;
  • Jin, Yuanshang (Liaoning Zhixin Highway Engineering Technology Consulting Corporation)
  • 투고 : 2020.07.08
  • 심사 : 2020.10.25
  • 발행 : 2020.11.10

초록

This paper presents an efficient method utilizing user-defined computer functional codes to determine the reliability of an embankment slope with spatially varying soil properties in real time. The soils' mechanical properties varied with the soil layers that had different degrees of compaction and moisture content levels. The Latin Hypercube Sampling (LHS) for the degree of compaction and Kriging simulation of moisture content variation were adopted and programmed to predict their spatial distributions, respectively, that were subsequently used to characterize the spatial distribution of the soil shear strengths. The shear strength parameters were then integrated into the Geostudio command file to determine the safety factor of the embankment slope. An explicit metamodal for the performance function, using the Kriging method, was established and coded to efficiently compute the failure probability of slope with varying moisture contents. Sensitivity analysis showed that the proposed method significantly reduced the computational time compared to Monte Carlo simulation. About 300 times LHS Geostudio computations were needed to optimize precision and efficiency in determining the failure probability. The results also revealed that an embankment slope is prone to high failure risk if the degree of compaction is low and the moisture content is high.

키워드

과제정보

This work was jointly supported by the Science and Technology Project of Wuhan Municipal Engineering Design & Research Institute Co., Ltd. (grant number H00446), Plan of Outstanding Young and Middle-aged Scientific and Technological Innovation Team in Universities of Hubei Province (grant number T2020010), Natural Science Foundation of Hubei Province (grant number 2020CFB567), and the Science and Technology Project of Ministry of Transport of the People's Republic of China. The authors also greatly appreciates and gratefully acknowledges the sponsors' funding support.

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