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Failure mechanism and deformation prediction of soft rock tunnels based on a combined finite–discrete element numerical method

地质学 变形(气象学) 岩土工程 离散元法 有限元法 压力(语言学) 各向同性 剪切(地质) 不连续变形分析 流离失所(心理学) 流体静力平衡 断裂(地质) 机械 结构工程 工程类 岩石学 海洋学 物理 量子力学 心理学 语言学 哲学 心理治疗师
作者
Penghai Deng,Quansheng Liu,Bin Liu,Haifeng Lu
出处
期刊:Computers and Geotechnics [Elsevier]
卷期号:161: 105622-105622 被引量:13
标识
DOI:10.1016/j.compgeo.2023.105622
摘要

The large deformation mechanisms and predictions of soft rock tunnels have always been important but difficult to solve problems in the field of geotechnical engineering. A combined finite–discrete element numerical simulation method (FDEM) was used to study large deformation mechanism, classification and prediction. The deformations or failure mechanisms of tunnel surrounding rock were revealed, and the failure modes and displacement value prediction of surrounding rock with different strength-stress ratios were also investigated. The following conclusions were obtained: (1) Critical hysteresis damping can be adopted to simulate the progressive large deformation process of soft rock tunnels, which can obtain the final deformation of unsupported tunnels and avoid a dynamic response. (2) Under concentrated tangential stress, the surrounding rock undergoes X-shaped conjugate shear fracture, and this type of fracture network continues to propagate toward the depth of the surrounding rock until the model reaches a stable state; the reduction in tunnel cross-section is mainly caused by the macroscopic movement and volume expansion of rock fragments, and the latter is due to the generation of a large number of macroscopic voids. (3) As the strength-stress ratio decreases, the deformation or failure modes of the surrounding rock can be divided into four categories: elastic–plastic deformation, closed fracturing, shear dilation and broken expansion. (4) Finally, a prediction equation for isotropic and homogeneous soft rock unsupported tunnel deformation with general size driven by hydrostatic in situ stress is obtained, which indicates that with an increasing strength-stress ratio, the surrounding rock displacement decreases as an exponential function, with a correlation coefficient of R2 = 0.997. In addition, the robustness and reliability of the prediction equation is verified.
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