Investigation of the anisotropic mechanical response of layered shales
2023
Gao, M | Gong, B | Liang, Z | Jia, S | Zou, J
Data availability statement: The data sets generated and/or analysed during the current study are available from the corresponding author upon request.
Mostrar más [+] Menos [-]Copyright © 2023 The Authors. Layered shales exist widely and are often encountered during shale gas development. However, the mechanical response of layered shales is significantly affected by the existence of beddings, resulting in the obvious anisotropy characteristics regarding deformation, strength and failure mode. To clarify the underlying mechanisms of shale anisotropy that control the safety of engineering projects, the numerical simulation and theoretical analysis were conducted. The results show that with the growth of confining pressure, the compressive resistance of shales gradually increases, the shear fractures govern the instability and the anisotropy index decreases. Furthermore, several strength criteria for layered rock masses were summarized, and the modified Jaeger strength criterion was proposed by introducing the anisotropic parameter . It can effectively reflect the failure modes and strength features of layered shales under triaxial conditions with a higher accuracy. Besides, the variation of cohesion and internal friction angle of layered shale samples was comprehensively analysed under the triaxial conditions. Clearly, as the inclination angle of bedding planes increases, the cohesion of layered shales first decreases, but then increases under triaxial compression, showing the ‘U’-shaped changing trend. Additionally, the internal friction angle of layered shales gradually increases with the increase in the inclination of bedding planes.
Mostrar más [+] Menos [-]Engineering Research Center of Underground Mine Construction, Chinese Ministry of Education. Grant Number: JYBGCZX2022108; Natural Science Foundation of Anhui Province. Grant Number: 2108085QE208; Anhui University. Grant Number: 2022AH050798; China Postdoctoral Science Foundation. Grant Number: 2021M700753; University Synergy Innovation Programme of Anhui Province. Grant Number: GXXT-2022-20.
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