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Discussion papers | Copyright
https://doi.org/10.5194/nhess-2018-6
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 24 Jan 2018

Research article | 24 Jan 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Forecasting post-failure landslide mobility using a SPH model and data from ring shear strength tests: A case study

Miao Yu1, Yu Huang2,3, Wenbin Deng2, and Hualin Cheng2 Miao Yu et al.
  • 1Faculty of Engineering, China University of Geosciences, Wuhan, Hubei 430074, China
  • 2Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China
  • 3Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China

Abstract. Flowlike landslides, such as flowslides and debris avalanches, have caused serious infrastructure damage and casualties for centuries. Effective numerical simulation incorporating accurate soil mechanical parameters is essential for predicting post-failure landslide mobility. In this study, smoothed particle hydrodynamics (SPH) incorporating soil ring shear test results was used to forecast the long-runout mobility for a landslide on an unstable slope in China. First, a series of ring shear tests under different axial stresses and shear velocities were conducted to evaluate the residual shear strength of slip zones after extensive shear deformation. Based on the ring shear test results, SPH modeling was conducted to predict the post-failure mobility of a previously identified unstable slope. The results indicate that the landslide would cut a fire road on the slope after 12s and cover an expressway at the foot of that slope after 36s. In the model, the landslide would finally stop sliding about 25m beyond the foot of the slope after 120s. This study shows that combining the SPH method with ring shear test results to forecast landslide mobility can provide basic information for landside disaster mitigation.

Miao Yu et al.
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Miao Yu et al.
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