A novel parameter inversion method for an improved DEM simulation of a river damming process by a large-scale landslide

被引:32
作者
Xu, Wen-Jie [1 ]
Xu, Qiang [2 ]
Liu, Guang-Yu [1 ]
Xu, Hui-Ya [3 ]
机构
[1] Tsinghua Univ, State Key Lab Hydrosci & Hydraul Engn, Dept Hydraul Engn, Beijing 100084, Peoples R China
[2] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China
[3] China Univ Min & Technol Beijing, Beijing 100084, Peoples R China
关键词
Landslide; Discrete element method (DEM); River blocking; Parameter inversion; Failure process; JINSHA RIVER; BAIGE LANDSLIDE; MODEL; INSIGHTS; DAMS; PREDICTION; EARTHQUAKE;
D O I
10.1016/j.enggeo.2021.106282
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The Discrete Element Method (DEM) is one of the most common numerical methods employed for the study of landslide disasters. Herein, this study proposes a method addressing the challenges associated with the selection of contact parameters for DEM blocks (or particles) when simulating landslide hazards. In 2018, two landslides occurred successively at the same slope of Baige, in Tibet, China. To efficiently simulate the entire process of landslide dynamics, a Graphics Processing Unit (GPU) program for blocky DEM, named CoSim-DEM, is developed. Furthermore, a parameter inversion method for the DEM simulation considering the deformation and failure process of landslide is provided and used to obtain the contact parameters for DEM blocks based on the failure process of the first landslide. The failure process of the second landslide is also simulated with the parameters obtained. The geomorphic characteristics of the landslide dams of the two times lanslides obtained by CoSim-DEM are validated by the field investigations. Based on the numerical results, the landslide damming process is divided into five stages and the entire path of the landside is divided into three zones. The results of this study provide a method to construct a database of parameters for geomaterials by using an inversion method based on the previous landslide cases. The method will be important for the rapid assessment and study of landslide hazards in the future.
引用
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页数:15
相关论文
共 46 条
[1]   Two methodologies to calibrate landslide runout models [J].
Aaron, Jordan ;
McDougall, Scott ;
Nolde, Natalia .
LANDSLIDES, 2019, 16 (05) :907-920
[2]   Rock Slide Simulation with the Combined Finite-Discrete Element Method [J].
Barla, Marco ;
Piovano, Giovanna ;
Grasselli, Giovanni .
INTERNATIONAL JOURNAL OF GEOMECHANICS, 2012, 12 (06) :711-721
[3]   Breaches of the Baige Barrier Lake: Emergency response and dam breach flood [J].
Cai YaoJun ;
Cheng HaiYun ;
Wu ShuaiFeng ;
Yang QiGui ;
Wang Lin ;
Luan YueSheng ;
Chen ZuYu .
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 63 (07) :1164-1176
[4]  
Costa J.E., 1991, U.S. Geological Survey Open-File Report 91-239
[5]   A big landslide on the Jinsha River, Tibet, China: geometric characteristics, causes, and future stability [J].
Cui, Yulong ;
Bao, Pengpeng ;
Xu, Chong ;
Fu, Gui ;
Jiao, Qisong ;
Luo, Yi ;
Shen, Lingling ;
Xu, Xiwei ;
Liu, Fenglin ;
Lyu, Yuejun ;
Hu, Xiuhong ;
Li, Tao ;
Li, Yongsheng ;
Liu, Yimin ;
Tian, Yunfeng .
NATURAL HAZARDS, 2020, 104 (03) :2051-2070
[6]   DISCRETE NUMERICAL-MODEL FOR GRANULAR ASSEMBLIES [J].
CUNDALL, PA ;
STRACK, ODL .
GEOTECHNIQUE, 1979, 29 (01) :47-65
[7]   The 1786 earthquake-triggered landslide dam and subsequent dam-break flood on the Dadu River, southwestern China [J].
Dai, FC ;
Lee, CF ;
Deng, JH ;
Tham, LG .
GEOMORPHOLOGY, 2005, 65 (3-4) :205-221
[8]   Assessment methodology for the prediction of landslide dam hazard [J].
Dal Sasso, S. F. ;
Sole, A. ;
Pascale, S. ;
Sdao, F. ;
Bateman Pinzon, A. ;
Medina, V. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2014, 14 (03) :557-567
[9]   Prediction of the behaviour of landslide dams using a geomorphological dimensionless index [J].
Ermini, L ;
Gasagli, N .
EARTH SURFACE PROCESSES AND LANDFORMS, 2003, 28 (01) :31-47
[10]   The characteristics of the seismic signals induced by landslides using a coupling of discrete element and finite difference methods [J].
Feng, Zheng-yi ;
Lo, Chia-Ming ;
Lin, Qun-Fu .
LANDSLIDES, 2017, 14 (02) :661-674