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Comprehensive study of the Beijing Daanshan rockslide based on real-time videos, field investigations, and numerical modeling 期刊论文
LANDSLIDES, 2020, 页码: DOI: 10.1007/s10346-020-01345-2
Authors:  Zhou, Shu;  Ouyang, Chaojun;  An, Huicong;  Jiang, Tianhai;  Xu, Qingsong
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Dynamic process  Failure mechanisms  MacCormack-TVD scheme  Numerical modeling  Rockslides  
Investigation of influence of baffles on landslide debris mobility by 3D material point method 期刊论文
LANDSLIDES, 2020, 卷号: 17, 期号: 5, 页码: 1129-1143
Authors:  Li, Xinpo;  Yan, Qiwei;  Zhao, Shuxi;  Luo, Yu;  Wu, Yong;  Wang, Dongpo
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Material point method  Landslide debris  Baffles  Impact force  Soil-structure interaction  
Rainfall-induced landslides and debris flows in Mengdong Town, Yunnan Province, China 期刊论文
LANDSLIDES, 2020, 卷号: 17, 期号: 4, 页码: 931-941
Authors:  Yang, Hongjuan;  Yang, Taiqiang;  Zhang, Shaojie;  Zhao, Fuhu;  Hu, Kaiheng;  Jiang, Yuhong
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Shallow landslide  Multiple-occurrence regional landslide events  Initiation mechanism  Spatial distribution  Forested slope  Stream power  
Rainfall threshold for landslide activity in Dazhou, southwest China 期刊论文
LANDSLIDES, 2020, 卷号: 17, 期号: 1, 页码: 61-77
Authors:  Yang Hongjuan;  Wei Fangqiang;  Ma Zhenfeng;  Guo Haiyan;  Su Pengcheng;  Zhang Shaojie
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Rainfall threshold  Landslide  Logistic regression  ROC analysis  
Dynamic simulation of rockslide-debris flow based on an elastic-plastic framework using the SPH method 期刊论文
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2020, 卷号: 79, 期号: 1, 页码: 451-465
Authors:  Liang Heng;  He Siming;  Liu Wei
Adobe PDF(3165Kb)  |  Favorite  |  View/Download:47/1  |  Submit date:2020/03/20
Rockslide-debris flow  Smoothed particle hydrodynamics  Dilatancy  Mechanics behavior transition  
Debris-flow monitoring and warning: Review and examples 期刊论文
EARTH-SCIENCE REVIEWS, 2019, 卷号: 199, 页码: UNSP 102981
Authors:  Hurlimann, Marcel;  Coviello, Velio;  Bel, Coraline;  Guo, Xiaojun;  Berti, Matteo;  Graf, Christoph;  Huebl, Johannes;  Miyata, Shusuke;  Smith, Joel B.;  Yin, Hsiao-Yuan
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Debris flow  Monitoring  Sensor  Hazard  Warning  
Evolution of a landslide-dammed lake on the southeastern Tibetan Plateau and its influence on river longitudinal profiles 期刊论文
GEOMORPHOLOGY, 2019, 卷号: 343, 页码: 15-32
Authors:  Wang, Hao;  Cui, Peng;  Liu, Dingzhu;  Liu, Weiming;  Bazai, Nazir Ahmed;  Wang, Jiao;  Zhang, Guotao;  Lei, Yu
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Lulang River  Landslide-dammed lake  Sedimentary evidence  Dam failure  Longitudinal profile  
Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement 期刊论文
JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2019, 卷号: 31, 期号: 10, 页码: 13
Authors:  Zhao, Lin-Shuang;  Zhou, Wan-Huan;  Su, Li-Jun;  Garg, Ankit;  Yuen, Ka-Veng
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Natural fiber  Soil reinforcement  Bayesian nonparametric general regression  Unconfined compressive strength  
Laboratory experiments on failure characteristics of non-cohesive sediment natural dam in progressive failure mode 期刊论文
ENVIRONMENTAL EARTH SCIENCES, 2019, 卷号: 78, 期号: 17, 页码: 14
Authors:  Jiang, Xiangang;  Wei, Yunwei;  Wu, Lei;  Hu, Kaiheng;  Zhu, Zhanyuan;  Zou, Zuyin;  Xiao, Weimin
Adobe PDF(3425Kb)  |  Favorite  |  View/Download:84/1  |  Submit date:2019/10/08
Natural dam  Progressive failure  Breaching characteristics  Flume tests  
Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization 期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238
Authors:  Feng, Zhong-kai;  Niu, Wen-jing;  Zhang, Rui;  Wang, Sen;  Cheng, Chun-tian
Adobe PDF(757Kb)  |  Favorite  |  View/Download:86/0  |  Submit date:2019/08/15
Hydropower reservoir  Operation rule derivation  k-Means clustering  Extreme learning machine  Particle swarm optimization