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Geomechanics and Engineering Volume 27, Number 5, December10 2021 , pages 527-535 DOI: https://doi.org/10.12989/gae.2021.27.5.527 |
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Nonlinear creep model based on shear creep test of granite |
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Bin Hu, Er-Jian Wei, Jing Li, Xin Zhu, Kun-Yun Tian and Kai Cui
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| Abstract | ||
| The creep characteristics of rock is of great significance for the study of long-term stability of engineering, so it is necessary to carry out indoor creep test and creep model of rock. First of all, in different water-bearing state and different positive pressure conditions, the granite is graded loaded to conduct indoor shear creep test. Through the test, the shear creep characteristics of granite are obtained. According to the test results, the stress-strain isochronous curve is obtained, and then the long-term strength of granite under different conditions is determined. Then, the fractional-order calculus software element is introduced, and it is connected in series with the spring element and the nonlinear viscoplastic body considering the creep acceleration start time to form a nonlinear viscoplastic creep model with fewer elements and fewer parameters. Finally, based on the shear creep test data of granite, using the nonlinear curve fitting of Origin software and Levenberg-Marquardt optimization algorithm, the parameter fitting and comparative analysis of the nonlinear creep model are carried out. The results show that the test data and the model curve have a high degree of fitting, which further explains the rationality and applicability of the established nonlinear visco-elastoplastic creep model. The research in this paper can provide certain reference significance and reference value for the study of nonlinear creep model of rock in the future. | ||
| Key Words | ||
| accelerating creep starting element; fractional calculus; nonlinear creep model; shear creep test | ||
| Address | ||
| Bin Hu:School of Resources and Environmental Engineering, Wuhan University of Science and Technology, 947 Heping Avenue,Qingshan District, Wuhan, China/ Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, 947 Heping Avenue,Qingshan District, Wuhan, China Er-Jian Wei:School of Resources and Environmental Engineering, Wuhan University of Science and Technology, 947 Heping Avenue,Qingshan District, Wuhan, China/ Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, 947 Heping Avenue,Qingshan District, Wuhan, China Jing Li:School of Resources and Environmental Engineering, Wuhan University of Science and Technology, 947 Heping Avenue,Qingshan District, Wuhan, China/ Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, 947 Heping Avenue,Qingshan District, Wuhan, China Xin Zhu:School of Resources and Environmental Engineering, Wuhan University of Science and Technology, 947 Heping Avenue,Qingshan District, Wuhan, China/ Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, 947 Heping Avenue,Qingshan District, Wuhan, China Kun-Yun Tian:School of Resources and Safety Engineering, Henan University of Engineering, 1 Xianghe Road, Xinzheng District, Zhengzhou, China Kai Cui:School of Resources and Environmental Engineering, Wuhan University of Science and Technology, 947 Heping Avenue,Qingshan District, Wuhan, China/ Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources, 947 Heping Avenue,Qingshan District, Wuhan, China | ||