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http://dx.doi.org/10.12989/gae.2022.28.4.335

Analysis of the buckling failure of bedding slope based on monitoring data - a model test study  

Zhang, Qian (Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University)
Hu, Jie (School of Mechanical Engineering, Nanjing University of Science and Technology)
Gao, Yang (Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University)
Du, Yanliang (Key Laboratory of Structural Health Monitoring and Control, Shijiazhuang Tiedao University)
Li, Liping (Geotechnical and Structural Engineering Research Center, Shandong University)
Liu, Hongliang (Geotechnical and Structural Engineering Research Center, Shandong University)
Sun, Shangqu (Shandong Provincial Key Laboratory of Civil Engineering Disaster Prevention and Mitigation, Shandong University of Science and Technology)
Publication Information
Geomechanics and Engineering / v.28, no.4, 2022 , pp. 335-346 More about this Journal
Abstract
Buckling failure is a typical slope instability mode that should be paid more attention to. It is difficult to provide systematic guidance for the monitoring and management of such slopes due to unclear mechanism. Here we examine buckling failure as the potential instability mode for a slope above a railway tunnel in southwest China. A comprehensive model test system was developed that can be used to conduct buckling failure experiments. The displacement, stress, and strain of the slope were monitored to document the evolution of buckling failure during the experiment. Monitoring data reveal the deformation and stress characteristics of the slope with different slipping mass thicknesses and under different top loads. The test results show that the slipping mass is the main subject of the top load and is the key object of monitoring. Displacement and stress precede buckling failure, so maybe useful predictors of impending failure. However, the response of the stress variation is earlier than displacement variation during the failure process. It is also necessary to monitor the bedrock near the slip face because its stress evolution plays an important role in the early prediction of instability. The position near the slope foot is most prone to buckling failure, so it should be closely monitored.
Keywords
buckling failure; critical load; model test; monitoring data; slope;
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Times Cited By KSCI : 12  (Citation Analysis)
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