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Adjustment of maximum ratings of RMR parameters using a canonical correlation analysis

机译:使用规范相关分析调整RMR参数的最大额定值

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摘要

In Korea, the RMR and the Q-system are most widely used for the rock mass classification method in designing tunnels. Since these systems do not consider local geological characteristics and use the same rating ranges for every rock types, they cannot sufficiently present the engineering anisotropy of rocks. Therefore, there is low reliability in selecting support categories with rock mass classification results. This causes frequent design changes in tunnel supports and gives one of reasons to collapse during tunnel construction. Therefore, there have been many studies on how to classify rock masses, reflecting geological characteristics. In this study, tunnel face mapping data of 3 tunnels excavated in massive granites, anisotropic phyllites, and sedimentary rock are analyzed to find out how geological anisotropy affects the observation of face mapping. And the canonical correlation analysis was carried out to clarify a discrepancy of rock mass classification caused by differences of geological characteristics. And we would like to introduce adjustments of maximum ratings of RMR parameters.
机译:在韩国,RMR和Q系统在设计隧道时最广泛用于岩体分类方法。由于这些系统没有考虑当地的地质特征,并且对每种岩石都使用相同的额定范围,因此它们无法充分体现岩石的工程各向异性。因此,选择具有岩体分类结果的支护类别的可靠性较低。这会导致隧道支护的频繁设计变更,并给出了在隧道施工过程中坍塌的原因之一。因此,已经有许多关于如何对岩体进行分类以反映地质特征的研究。在这项研究中,分析了在大量花岗岩,各向异性斜晶石和沉积岩中开挖的3条隧道的隧道面图数据,以了解地质各向异性如何影响面图的观测。并进行了典范的相关性分析,以澄清由地质特征差异引起的岩体分类差异。并且,我们想介绍调整RMR参数的最大额定值。

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