Numerical modelling of the long runout character of 2015 Shenzhen landslide with a general two-phase mass flow model
Numerical modelling of the long runout character of 2015 Shenzhen landslide with a general two-phase mass flow model
复制标题
采用通用两相质量流模型对2015年深圳滑坡长跳动特性进行数值模拟
DOI：
10.1007/s10064-018-1329-z
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发表时间：
2018-08
影响因子：
4.2
通讯作者：
Pan Huali
中科院分区：
文献类型：
--
作者：
Qiao Cheng;Ou Guoqiang;Pan Huali
High fluid content or pore-fluid pressure is generally the main reason for the triggering and high mobility of landslides. A catastrophic landslide occurred at Hongao construction waste dumpsite in the Guangming New District of Shenzhen, China, on Dec 20, 2015. Due to the high water content of soil in the source area, this landslide propagated over an extremely long travel distance, with maximum length and width of the affected area 1100 m and 630 m, respectively. High water content pesents a great challenge to numerical methods. In order to simultaneously include the evolution of the solid and fluid components in the mixture, a general two-phase mass flow model of Pudasaini (J Geophys Res 117: F03010, 2012) has been employed in our simulations. The complex interactions between the solid and fluid phases, including buoyancy, the virtual mass force, generalized drag and enhanced non-Newtonian viscous stress, are considered in this two-phase flow model. These are essential aspects in the motion of landslides consisting of viscous fluid and solid particles. Based on the actual geology and engineering conditions, runout characteristics of the Shenzhen landslide were analyzed numerically. The principal reasons for the long runout character and the inundation are discussed based on the physics-based model and high-resolution numerical results.
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影响因子：
3.6
作者：
F. Federico;C. Cesali
通讯作者：
F. Federico;C. Cesali
影响因子：
3.7
作者：
F. Federico;C. Cesali
通讯作者：
F. Federico;C. Cesali
影响因子：
5.8
作者：
R. M. Iverson;D. George
通讯作者：
R. M. Iverson;D. George
影响因子：
4.6
作者：
Qiang Xu;Da-lei Peng;Wei-le Li;Xiu-jun Dong;Wei Hu;M. Tang;Fangzhou Liu
通讯作者：
Qiang Xu;Da-lei Peng;Wei-le Li;Xiu-jun Dong;Wei Hu;M. Tang;Fangzhou Liu
影响因子：
2.9
作者：
J. Kafle;Puskar R. Pokhrel;Khim B. Khattri;Parameshwari Kattel;B. M. Tuladhar;S. Pudasaini
通讯作者：
J. Kafle;Puskar R. Pokhrel;Khim B. Khattri;Parameshwari Kattel;B. M. Tuladhar;S. Pudasaini