WANG Bin, LI Jie-tao, WANG Jia-jun, et al. Model tests on accumulation landslides induced by extreme rainfall[J]. 2023, 44(S1): 234-248.
DOI:
WANG Bin, LI Jie-tao, WANG Jia-jun, et al. Model tests on accumulation landslides induced by extreme rainfall[J]. 2023, 44(S1): 234-248.DOI: 10.16285/j.rsm.2022.1458.
Model tests on accumulation landslides induced by extreme rainfall
Rainfall-induced accumulation landslide is one of the most widespread geo-hazards. In recent years
due to more extreme rainfall events brought on by climate change
the scale and frequency of the rainfall-induced accumulation landslides have further increased. Centering on the slope failure mechanisms due to the extreme rainfalls
this research carries out a series of model tests in order to explore the influence of different gradations of the slope materials on the slope failure mechanism. A series of large-scale triaxial tests is carried out first
where three different colluvium materials are remolded
with the clay content fixed at 10% and the rock contents at 30%
50%
and 70%
respectively
so that stress-strain relationships of the samples considering different gradations can be obtained. Thereafter
three slope models are built
consisting of the designed gradations. Extreme rainfalls are then applied to cause the slopes to fail
aiming to reveal different slope failure modes. Meanwhile
the changes of the water content
soil pressure
and pore water pressure inside the slope during the slope failure process are also monitored and analyzed
and the changes of fines content and its moving trajectories during the rainfall infiltration process are also illustrated. Finally
the failure mechanism of the accumulation landslide under extreme rainfall is summarized
which can hopefully provide some theoretical basis for the early warning of the accumulation landslide.
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Surface displacement field measurement for landslide model test based on computer aided inspection
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Related Author
CHEN Huai-lin
YANG Tao
RAO Yun-kang
ZHANG Zhe
WU Hong-gang
XIE Jiang-wei
TENG Han-qing
YANG Jun-peng
Related Institution
State Key Laboratory of Intelligent Construction and Maintenance for Geotechnical and Tunnel Engineering under Extreme Environments, Southwest Jiaotong University
China Northwest Research Institute Co., Ltd., of CREC
China Railway Academy Co., Ltd.
School of Civil Engineering and Transportation, South China University of Technology
Tianjin Municipal Engineering Design & Research Institute Co., Ltd.