Calculating Sliding Speed of a High-level Loose Landslide ina Reservoir

YAO Zhen-guo, XU Wen-jie, LUO Yan-ting, WANG Hong-fei

Journal of Changjiang River Scientific Research Institute ›› 2020, Vol. 37 ›› Issue (8) : 166-169.

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Journal of Changjiang River Scientific Research Institute ›› 2020, Vol. 37 ›› Issue (8) : 166-169. DOI: 10.11988/ckyyb.20200573
2020 ANNUAL CONFERENCE (ACADEMIC SEMINAR) OF SURVEY SPECIALIZEDCOMMITTEE OF CHINESE HYDRAULIC ENGINEERING SOCIETY

Calculating Sliding Speed of a High-level Loose Landslide ina Reservoir

  • YAO Zhen-guo1, XU Wen-jie2, LUO Yan-ting1, WANG Hong-fei1
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Abstract

Landslide surge is a grave disaster in the operation of reservoir. The prediction of landslide surge requires an analysis of the sliding speed of the landslide. With a high-level loose landslide body in a reservoir as an example, the sliding speed of the landslide body was calculated using traditional empirical formula and discrete element method (DEM) respectively. Traditional method has some limitations in calculating the sliding speed of loose landslides, while DEM is superior in analyzing the process of landslide surge of high-level loose landslide as the DEM-simulated deformation process is basically consistent with qualitative instability process. According to DEM-calculated deformation and failure process of landslide at different instances and the velocity of DEM spherical particles,the speed of unstable materials was not large in the incipience of sliding under the action of gravity, but increased continuously during the movement on bedrock slope, and finally reached about 40 m/s upon entering water. The present method has advantages in analyzing the disaster process of high-level loose landslides and provides a good reference for similar engineering problems.

Key words

High-level loose landslide / sliding speed / landslide surge / energy method / discrete element method( DEM)

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YAO Zhen-guo, XU Wen-jie, LUO Yan-ting, WANG Hong-fei. Calculating Sliding Speed of a High-level Loose Landslide ina Reservoir[J]. Journal of Changjiang River Scientific Research Institute. 2020, 37(8): 166-169 https://doi.org/10.11988/ckyyb.20200573

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