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Morphological Feature Description Method of Structural Surface in Borehole Image During In-Situ Instrumentation
Rock Mechanics and Rock Engineering ( IF 5.5 ) Pub Date : 2020-03-21 , DOI: 10.1007/s00603-020-02072-9
Xianjian Zou , Chuanying Wang , Yiteng Wang , Huan Song

It is of great significance to obtain the high precise structural surface properties of rock mass during the process of deep geotechnical engineering investigation by in-situ instrumentation, especially for preventing disasters and reducing damages. To obtain more detailed features of the structural surface in the image obtained by digital panoramic borehole imaging technique, this paper describes and analyzes the morphological feature of structural surface in the borehole image during in-situ instrumentation, and the feature is used to describe joint roughness coefficient (JRC) and analyzed the anti-sliding ability of borehole rock mass. We use a digital panoramic borehole imaging system to obtain the camera image and related data of borehole rock mass, extract the profile line of structural surface in the image, analyze the dip direction and dip angle, and transform the circular profile line of structural surface into three-dimensional feature. Finally, the statistical parameters of three-dimensional feature from the profile lines in each direction are calculated and used to form a roughness coefficient rose diagram according to related JRC theory. Results show that the rose diagram can well describe the actual three-dimensional morphology of the structural surface and its anisotropy of borehole rock mass structures. This paper provides a novel way to describe the morphological feature of structural surface in borehole image and can be applied to determine the dominant anti-slip direction of rock structure, which can solve the difficulty of obtaining the morphological features and mechanical properties of structural surface in deep rock mass.

中文翻译:

原位检测井眼图像结构面形态特征描述方法

现场仪器仪表在深部岩土工程勘察过程中,获取岩体高精度的结构表面特性,尤其对防灾减损具有重要意义。为了在数字全景钻孔成像技术获得的图像中获得更详细的结构面特征,本文对原位测井成像中结构面的形态特征进行了描述和分析,并利用该特征来描述节理粗糙度。系数(JRC)并分析了钻孔岩体​​的抗滑能力。我们使用数字全景钻孔成像系统获取钻孔岩体的摄像机图像和相关数据,提取图像中的构造面轮廓线,分析倾角方向和倾角,将构造面的圆形剖面线转化为三维特征。最后,根据JRC相关理论,计算各个方向轮廓线的三维特征统计参数,形成粗糙度系数玫瑰图。结果表明,玫瑰图可以很好地描述井眼岩体结构的实际三维形态及其各向异性。本文提供了一种在钻孔图像中描述结构面形态特征的新方法,可用于确定岩石结构的主导抗滑移方向,解决了获得结构面形态特征和力学特性的困难。深岩体。并将结构面的圆形轮廓线转化为三维特征。最后,根据JRC相关理论,计算各个方向轮廓线的三维特征统计参数,形成粗糙度系数玫瑰图。结果表明,玫瑰图可以很好地描述井眼岩体结构的实际三维形态及其各向异性。本文提供了一种在钻孔图像中描述结构面形态特征的新方法,可用于确定岩石结构的主导抗滑移方向,解决了获得结构面形态特征和力学特性的困难。深岩体。并将结构面的圆形轮廓线转化为三维特征。最后,根据JRC相关理论,计算各个方向轮廓线的三维特征统计参数,形成粗糙度系数玫瑰图。结果表明,玫瑰图可以很好地描述井眼岩体结构的实际三维形态及其各向异性。本文提供了一种在钻孔图像中描述结构面形态特征的新方法,可用于确定岩石结构的主导抗滑移方向,解决了获得结构面形态特征和力学特性的困难。深岩体。
更新日期:2020-03-21
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