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Physical modeling on failure mechanism of locked-segment landslides triggered by heavy precipitation

  • Han-Dong Liu
  • Dong-Dong LiEmail author
  • Zhong-Fu Wang
  • Zheng Geng
  • Liang-Dong Li
Technical Note


Physical modeling is an effective method for studying the failure process of locked-segment type landslides, whose stability is governed by the locking section along the potential slip surface. In this study, a series of large-scale laboratory tests were conducted using specific flume test equipment. Three slope models with different types of locked segment were tested simultaneously: a slope without a locked segment (S1), a slope with an anti-tipping locked segment (S2), and a slope with a retaining-wall-like locked segment (S3). The effects of the three locking-section configurations on the failure time and deformation behavior were investigated under the same rainfall conditions. The displacement of several characteristic observation points along the slopes and the pore-water pressure in the slopes were recorded using a laser scanner and pore-water pressure sensor; the initiation and evolution of cracks were captured by a high-resolution camera. Analysis of the monitoring data and the observations from the tests shows that the slope-crest settlement and pore-water pressure changes may be used to identify the type of locked segment of natural slopes.


Locked-segment landslide Physical modeling Rainfall Failure mechanism 



We thank Dalia Lahav-Jones, from Liwen Bianji, Edanz Group China (, for editing the English text of a draft of this manuscript.

Funding information

This study was supported by the National Natural Science Foundation of China (NO. U1704243), Key Scientific Research Project Plan of Henan higher Education institutions (NO.17A410002), Project of levee Safety and Disease Control Engineering Technology Research Center of The Ministry of Water Resources of the People’s Republic of China, and The Project of High level talents in North China University of Water Resource and Electric Power (NO.201518).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Han-Dong Liu
    • 1
  • Dong-Dong Li
    • 1
    Email author
  • Zhong-Fu Wang
    • 1
  • Zheng Geng
    • 1
  • Liang-Dong Li
    • 1
  1. 1.College of Geosciences and EngineeringNorth China University of Water Resources and Electric PowerZhengzhouChina

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