流纹岩天然裂隙网络几何特征分析
发布时间：2018-06-17 07:16
本文选题：岩石力学 + 岩石裂隙网络 ； 参考：《岩石力学与工程学报》2017年01期
【摘要】：天然岩石中裂隙的统计分析是其力学性能研究的基础,裂隙发育几何特征与岩石所处的应力状态密切相关。基于裂隙网络在长度和方向上的相关性,提出一种综合考虑裂隙长度和倾角的裂隙网络几何方向贡献参数ζ,可以准确计算裂隙网络的优势发育方向θ_p,进一步计算得到描述裂隙网络随机程度的随机参数κ,将其用于泥巴山隧址区流纹岩裂隙网络的分析。研究结果表明,裂隙网络几何贡献参数ζ和随机参数κ具有明确的几何物理意义,裂隙网络几何贡献参数ζ可以较为准确地计算裂隙网络的综合优势角θ_p,随机参数κ可定量评价裂隙网络发育的随机程度,κ越小裂隙网络优势方向越明显,三者之间存在定量关系。研究成果为复杂天然裂隙网络统计提供了一种有效的方法,为进一步开展裂隙性岩石力学特性研究奠定基础。
[Abstract]:The statistical analysis of fractures in natural rocks is the basis of their mechanical properties. The geometric characteristics of fracture development are closely related to the stress state of rock. Based on the correlation between length and direction of fracture networks, A new geometric contribution parameter 味, which considers the length and inclination of the fracture network, is proposed, which can accurately calculate the dominant development direction 胃 p of the fracture network, and further calculate the random parameter 魏, which describes the random degree of the fracture network. It is applied to the analysis of rhyolite fissure network in the tunnel area of Muba Mountain. The results show that the geometric contribution parameter 味 and the random parameter 魏 of the fracture network have definite geometric and physical significance. The geometric contribution parameter 味 of fracture network can accurately calculate the synthetic dominant angle 胃 p of fracture network. The random parameter 魏 can quantitatively evaluate the random degree of fracture network development. The smaller the fracture network is, the more obvious the dominant direction of fracture network is. There is a quantitative relationship among the three. The research results provide an effective method for the statistics of complex natural fracture networks and lay a foundation for further research on the mechanical properties of fractured rocks.
【作者单位】： 西南交通大学土木工程学院;成都理工大学地质灾害防治与地质环境保护国家重点实验室;成都西南交大W毶こ碳际跤邢薰，
本文编号：2030202
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