Technical Papers
May 23, 2019

Creep Characteristics and Model of Key Unit Rock in Slope Potential Slip Surface

Publication: International Journal of Geomechanics
Volume 19, Issue 8

Abstract

The creep characteristics of the key unit rock in a slope potential slip surface play an important role in the evolution of slope slip. In this research, a systematic restrictive shear creep experimental study was conducted to investigate the restrictive shear creep characteristics of the key unit rock in a slope potential slip surface. A new plastic nonlinear model (PFY model) was developed to characterize the progressive-failure creep characteristics reflected in the process of the restrictive shear creep of rock. A variable-parameter restrictive shear creep model was established to reflect the progressive-failure characteristics and describe the whole process of restrictive shear creep of the rock and the two failure mechanisms of the rock, which can provide the reference base for the prediction of the time of shear creep failure of the rock. The constitutive equations characterizing the shear creep characteristics of the rock were established, and the methods to solve model parameters were determined. In addition, according to the obtained experimental data, the model parameters were solved, and the theoretical curves of the model were fitted with the experimental curves. The new model was validated, and the sensitivity of the model parameters to creep-failure time were analyzed. The results show that the overburden pressure and the maximum creep strain of the key unit rock in a slope play a leading role in the progressive failure and instability of the rock, and the shear creep rate with time fits the power function well. The theoretical curves of the new model match well with the experimental curves, and the differences in the creep-failure time between the model calculation values and the experimental values are small, which indicates the new model is appropriate in describing the creep characteristics of the rock. For the shear creep-failure time, the viscous coefficient η2 is the most sensitive, the accelerating point strain γa comes next, and the progressive-failure coefficient β is the least sensitive.

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Acknowledgments

Financial support for this work was provided by the National Natural Science Foundation of China (51474220), the National Key Research and Development Program of China (2018YFC1504802, 2018YFC0808403), and the Fundamental Research Funds for the Central Universities (2009QZ03).

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 19Issue 8August 2019

History

Received: Jul 16, 2018
Accepted: Mar 25, 2019
Published online: May 23, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 23, 2019

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Ph.D. Student, Key Laboratory of Mine Geological Hazards Mechanism and Control, Xi’an 710054, China; School of Resource and Safety Engineering, China Univ. of Mining and Technology Beijing, Beijing 100083, China. Email: [email protected]
Hongbao Zhao [email protected]
Professor, Key Laboratory of Mine Geological Hazards Mechanism and Control, Xi’an 710054, China; Key Laboratory of Safety and High-Efficiency Coal Mining, Ministry of Education, Anhui Univ. of Science and Technology, Huainan 232001, China; School of Resource and Safety Engineering, China University of Mining and Technology Beijing, Beijing 100083, China (corresponding author). Email: [email protected]
Xiangyang Zhang [email protected]
Associate Professor, Key Laboratory of Safety and High-Efficiency Coal Mining, Ministry of Education, Anhui Univ. of Science and Technology, Huainan 232001, China. Email: [email protected]
Ph.D. Student, School of Resource and Safety Engineering, China Univ. of Mining and Technology Beijing, Beijing 100083, China. Email: [email protected]
Mining Engineer, Changsha Engineering & Research Institute Ltd. of Nonferrous Metallurgy, No. 199 Jiefang Middle Road, Changsha, Hunan 410001, China. Email: [email protected]
Associate Professor, Joint Center for Artificial Photosynthesis, California Institute of Technology, Pasadena, California 91125. Email: [email protected]

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