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WU Yue, LIU Dong-sheng, ZHOU Zhong-hao. Mobility assessment model for landslide mass considering disintegration energy consumption in slipping process[J]. Chinese Journal of Geotechnical Engineering, 2015, 37(1): 35-46. DOI: 10.11779/CJGE201501003
Citation: WU Yue, LIU Dong-sheng, ZHOU Zhong-hao. Mobility assessment model for landslide mass considering disintegration energy consumption in slipping process[J]. Chinese Journal of Geotechnical Engineering, 2015, 37(1): 35-46. DOI: 10.11779/CJGE201501003

Mobility assessment model for landslide mass considering disintegration energy consumption in slipping process

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  • Received Date: February 06, 2014
  • Published Date: January 19, 2015
  • The mobility assessment model for landslide mass can be used in calculating the speed, sliding distance, impact energy and affected area of landslide. It’s the key technology for risk assessment of landslide. In the conventional methods, the landslide mass is usually assumed as the mass point or rigid block, and the dynamic assessment process does not take the disintegration energy consumption into account. An assessment model for landslide mass in slipping process considering the disintegration energy consumption is proposed. In the model, the landslide mass is assumed as a system consisting of two mass points and a dashpot, and the slipping process is simplified as a deformation body in plan motion. Furthermore the stress-strain characteristics of landslide mass follow the rules of soil residual strength from repeated direct shear tests. The motion equations of the mobility assessment model and the relevant formula for calculating viscosity resistance force of the dashpot are established. The equation is used to deduce the formula for intensity indexes (including slipping velocity, impact energy and sliding distance). As a case study, a landslide project is analyzed to illustrate this mobility assessment model. The results show that the proposed model conforms to the energy transformation rules of landslide mass, and its results are closer to the reality than those of the conventional methods. It is more convenient than the numerical methods.
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