Bing Li

Dr. Bing Li

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 February 2021 in International Journal for Numerical and Analytical Methods in Geomechanics
Verified
Journal Article
Closed access
PDF file
BLBing Li
Bing Li
Wenping GongWenping Gong
Wenping Gong
HTHuiming Tang
Huiming Tang
ZZZongxing Zou
Zongxing Zou
VBVictor Mwango Bowa
Victor Mwango Bowa
CJC. Hsein Juang
C. Hsein Juang

10 January 2022 in Landslides
Verified
Journal Article
Closed access
PDF file
BLBing Li
Bing Li
HTHuiming Tang
Huiming Tang
Wenping GongWenping Gong
Wenping Gong
ZCZhan Cheng
Zhan Cheng
Tianzheng LiTianzheng Li
Tianzheng Li
LWLei Wang
Lei Wang

11 March 2024 in Bulletin of Engineering Geology and the Environment
Verified
Journal Article
Closed access
PDF file
BLBing Li
Bing Li
Wenping GongWenping Gong
Wenping Gong
HTHuiming Tang
Huiming Tang
LWLei Wang
Lei Wang


27 February 2025 in Water
Verified
Journal Article
Open access
PDF file
HFHao Fang
Hao Fang
BLBing Li
Bing Li
KLKai Liu
Kai Liu
YMYaobin Meng
Yaobin Meng
Understanding the dynamic behavior of landslides is essential for effective risk assessment. This study examines the Yanguan landslide, which occurred on 29 October 2017, in the Three Gorges Reservoir (TGR) region of China. Due to its unique capability in modeling discontinuum behaviors during landslide fragmentation, the discrete element method was utilized to analyze the movement characteristics of this landslide. The investigation began with a field survey to assess the geological features and failure mechanism of the landslide, which indicates that the landslide was likely triggered by prolonged variations in reservoir water levels and heavy rainfall preceding the event. Following this, a three-dimensional numerical model of the landslide was constructed using pre- and post-event terrain data. The accuracy of the numerical model was validated by comparing its simulation results with field survey data. Finally, the landslide’s movement behavior and energy transformation were analyzed based on the validated model. This work can enhance landslide risk assessment by quantifying dynamic parameters critical for impact prediction, further provide a scientific basis for the study of the landslides in the TGR area, and contribute to disaster prevention.