基于空间插值的工程岩体RQD预测方法

发布时间：2018-05-17 08:56

本文选题：RQD + 主要黑塞矩阵　；参考：《岩土力学》2015年11期

【摘要】：作为工程实际中评价岩体性质的重要指标,RQD的应用已相当广泛。但工程岩体中RQD值的分布存在一定的结构性和随机性,因此,通过对特定位置钻探获取的RQD值无法很到位地表达整个空间区域的实际岩石质量。为了弥补这方面的不足,统计学中的空间插值法为此提供了有力的手段。考虑到空间RQD分布存在各向异性,以及在工程坐标系中很难描述RQD分布的结构性,首先计算工程坐标系下已获取RQD值的主要黑塞方向(p Hd);然后构建空间旋转与比例缩放矩阵对其进行坐标标准化处理。在标准化的空间中,引入Kriging插值法,采用变异函数描述RQD在标准空间结构上的变化,建立其空间变异规律的数学模型,并对其进行插值计算;最后将标准空间进行坐标逆变换,实现了对工程坐标系下RQD分布的预测。利用R语言编程将该方法应用于工程实例,结果表明,这种空间插值法能够有效地预测工程岩体中RQD值的分布规律,弥补了局部钻探的局限性。
[Abstract]:As an important index for evaluating the properties of rock mass in engineering practice, the application of RQD has been quite extensive. However, the distribution of RQD values in engineering rock mass has a certain structure and randomness. Therefore, the actual rock mass of the whole space area can not be expressed in place by the RQD value of the specific location drilling. The spatial interpolation method in statistics provides a powerful means. Considering the anisotropy in the spatial RQD distribution and the difficulty in describing the structure of the RQD distribution in the engineering coordinate system, the main Hesse direction (P Hd) which has acquired the value of RQD in the engineering coordinate system is first calculated, and then the space rotation and scaling matrix are constructed to sit on it. Standard processing. In the standardized space, the Kriging interpolation method is introduced, the variation function is used to describe the change of RQD in the standard space structure, the mathematical model of its spatial variation law is established and the interpolation calculation is carried out. Finally, the standard space is replaced by the coordinate inversion, and the prediction of the RQD distribution in the engineering coordinate system is realized. R The method is applied to the engineering example by language programming. The results show that the spatial interpolation method can effectively predict the distribution of RQD value in the engineering rock mass, and make up for the limitation of local drilling.
【作者单位】：北京交通大学土木建筑工程学院;
【基金】：中国铁路总公司科技发展计划重点项目(No.KCL10062530)~~
【分类号】：TU45

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