G
Guangcheng Zhang
Researcher at China University of Geosciences (Wuhan)
Publications - 24
Citations - 577
Guangcheng Zhang is an academic researcher from China University of Geosciences (Wuhan). The author has contributed to research in topics: Landslide & Slope stability. The author has an hindex of 9, co-authored 22 publications receiving 314 citations. Previous affiliations of Guangcheng Zhang include University of Adelaide & The University of Nottingham Ningbo China.
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A new method estimating the 2D Joint Roughness Coefficient for discontinuity surfaces in rock masses
TL;DR: In this article, the authors proposed a new roughness index (λ) using a Root Mean Square method, which considers inclination angle, amplitude of asperities and their directions, and derived the logistics function between λ and JRC.
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Field monitoring and deformation characteristics of a landslide with piles in the Three Gorges Reservoir area
TL;DR: In this article, two longer test piles and an integrated monitoring system were installed in the landslide to better understand the failure mode of the landslide and to measure the deformation characteristics of landslide-stabilizing pile system.
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In-situ monitoring platform and preliminary analysis of monitoring data of Majiagou landslide with stabilizing piles
Xinli Hu,Tan Fulin,Huiming Tang,Guangcheng Zhang,Aijun Su,Cong Xu,Zhang Yuming,Chengren Xiong +7 more
TL;DR: Wang et al. as discussed by the authors designed and established a comprehensive in-situ multi-fields information monitoring platform which has been installed on Majiagou landslide in Three Gorges Reservoir area.
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New stability calculation method for rock slopes subject to flexural toppling failure
TL;DR: In this paper, a new stability analysis method for slopes against flexural toppling failure is proposed using equilibrium theory, and sensitivity analysis is performed to investigate the locations of possible failure surfaces and zones as well as changes in the stability of anti-dip rock slopes under different conditions.
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Landslide displacement prediction using kinematics-based random forests method: A case study in Jinping Reservoir Area, China
Xinli Hu,Wu Shuangshuang,Guangcheng Zhang,Wenbo Zheng,Liu Chang,He Chuncan,Zhongxu Liu,Xuyuan Guo,Zhang Han +8 more
TL;DR: Wang et al. as discussed by the authors developed an integrated landslide movement prediction model that can fully consider landslide kinematics and external influence factors using the Verhulst inverse function (VIF) and the random forest (RF) algorithm.