Simulating the failure process of the Xinmo landslide using discontinuous deformation analysis

被引:119
作者
Chen, Kun-Ting [1 ]
Wu, Jian-Hong [2 ]
机构
[1] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Inst Mt Hazards & Environm, Chengdu, Sichuan, Peoples R China
[2] Natl Cheng Kung Univ, Dept Civil Engn, Tainan, Taiwan
关键词
Xinmo landslide; Discrete element method; Numerical simulation; Discontinuity; Impact area; TSAOLING LANDSLIDE; TAIWAN; CHINA; SLOPE; DISPLACEMENT; EARTHQUAKE; MECHANISM; MOVEMENT; MAOXIAN; SICHUAN;
D O I
10.1016/j.enggeo.2018.04.002
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The Xinmo landslide slope in Sichuan, China, was stable during the intensive Wenchuan Earthquake in 2008 but failed on June 24, 2017. Landslide debris buried Xinmo Village and blocked the Songpinggou River at the slope toe. This study aims to clarify the post-failure behavior of the landslide using two-dimensional discontinuous deformation analysis (2D DDA). The simulation results provide comprehensive information on the initiation and the evolution of the landslide. The failure process determined by the DDA correlates well with the seismic signal analysis results. In addition, the location of the calculated rock deposit is similar to that shown by the topographic map after the landslide. The maximum rock velocity in the landslide is 65.4 m/s. Therefore, the impacts of the high-velocity blocks and the buildings in Xinmo Village must be considered to simulate the burial of Xinmo Village by rocks and the transport of additional rocks across the Songpinggou River. This Xinmo landslide study demonstrates that the DDA accurately simulates the post-failure behavior and determines the impact area of a landslide with complicated failure processes and topography.
引用
收藏
页码:269 / 281
页数:13
相关论文
共 37 条
[1]  
Akao S., 2007, 8 INT C AN DISC DEF, P135
[2]  
An W., 2008, SEISMO GEOL, V30, P981
[3]  
[Anonymous], 2010, INVESTIGATION DISCON
[4]   A slope movement in a complex rock formation: Deformation measurements and DEM modelling [J].
Assefa, S. ;
Graziani, A. ;
Lembo-Fazio, A. .
ENGINEERING GEOLOGY, 2017, 219 :74-91
[5]  
Casagli N., 2016, Remote Sensing Applications: Society and Environment, V4, P92, DOI 10.1016/j.rsase.2016.07.001
[6]   Landslide seismic signal recognition and mobility for an earthquake-induced rockslide in Tsaoling, Taiwan [J].
Chen, Tien Chien ;
Lin, Meei Ling ;
Wang, Kuo Lung .
ENGINEERING GEOLOGY, 2014, 171 :31-44
[7]  
CUHK, CUHK ISEIS AN 6 24 L
[8]  
Dong JJ, 2017, GEOTECHNICAL HAZARDS, P203, DOI DOI 10.1007/978-4-431-56205-4_19
[9]   Geometrical feature analysis and disaster assessment of the Xinmo landslide based on remote sensing data [J].
Fan, Jian-rong ;
Zhang, Xi-yu ;
Su, Feng-huan ;
Ge, Yong-gang ;
Tarolli, Paolo ;
Yang, Zheng-yin ;
Zeng, Chao ;
Zeng, Zhen .
JOURNAL OF MOUNTAIN SCIENCE, 2017, 14 (09) :1677-1688
[10]   Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China [J].
Fan, Xuanmei ;
Xu, Qiang ;
Scaringi, Gianvito ;
Dai, Lanxin ;
Li, Weile ;
Dong, Xiujun ;
Zhu, Xing ;
Pei, Xiangjun ;
Dai, Keren ;
Havenith, Hans-Balder .
LANDSLIDES, 2017, 14 (06) :2129-2146