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Run-out of the 2015 Shenzhen landslide using the material point method with the softening model

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Abstract

Sand and soil are comprised of large amounts of discrete particles, which may lead to a transition between solid and fluid-like states in large deformation problems. How to deal with the complex transitions between these states in granular media is the key to explaining the run-out of a landslide. The Shenzhen (China) landfill landslide exemplifies a type of large deformation demonstrating this transition between solid and fluid-like states. The soil in the landfill was mainly composed of completely decomposed granite (CDG). The landslide's run-out traveled in fluid-like fashion several hundred meters and caused casualties. In this paper, we use the material point method (MPM) based on the softening model and contact algorithm to analyze the run-out of the Shenzhen landfill landslide. MPM offers substantial advantages in numerical simulations of problems involving extra-large deformations. The latest research of landslide simulations is reviewed, and the fundamental principles of MPM are introduced in the first part of the paper. Then, the post-failure behavior of the large slope in the Shenzhen landfill is simulated with the generalized interpolation material point (GIMP) method with a softening model and a contact algorithm, respectively. The trend of the velocities and displacements of material points are calculated. Topographies of the post-failure landslide using different parameters are analyzed.

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Acknowledgments

This study is financially supported by the Natural Science Foundation of Jiangsu Province (grant No. BK20160366) and Science & Technology Program of Suzhou (grant No. SYG201613).

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Authors and Affiliations

  1. School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210046, China

    Butao Shi, Yun Zhang & Wei Zhang

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  1. Butao Shi
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  2. Yun Zhang
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  3. Wei Zhang
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Correspondence to Yun Zhang or Wei Zhang.

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Shi, B., Zhang, Y. & Zhang, W. Run-out of the 2015 Shenzhen landslide using the material point method with the softening model. Bull Eng Geol Environ 78, 1225–1236 (2019). https://doi.org/10.1007/s10064-017-1167-4

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  • DOI: https://doi.org/10.1007/s10064-017-1167-4

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