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Spacing and block volume estimation in discontinuous rock masses using image processing technique: a case study
Environmental Earth Sciences ( IF 2.8 ) Pub Date : 2021-07-09 , DOI: 10.1007/s12665-021-09768-3
Mohammad Azarafza 1 , Mustafa K. Koçkar 1 , Lohrasb Faramarzi 2
Affiliation  

Application of the image processing techniques (IPT) to identify rock mass geometry provides more fast information about discontinuity properties used in geo-engineering characteristics. In this regard, the field survey can be improved using IPT. This study has utilised the IPT to identify the discontinuity and block volume characteristics in a discontinuous rock mass. For this purpose, a visual evaluation of the rock mass outcrop with discontinuities from a road slope cut located in the South Pars Special Zone, Assalouyeh, Iran, was considered. A three-step IPT analysis (i.e. pre-processing, main processing, and post-processing) was conducted to extract the features through the Python programming language. Regarding the IPT methodology, the studied rock mass characteristics consist of four major discontinuity sets and rock block volumes between the intersections of the discontinuities, as confirmed with a scan-line field survey. The evaluated data indicated that the maximum, minimum, and average block volumes processed by the IPT were 1.068, 0.479, and 1.055 m3, and their field measurement results were 1.092, 0.479, and 1.065 m3, respectively. Additionally, the orientations of the estimated discontinuity properties and their spacings determined by IPT for the rock mass ranging between 32 and 69.9° and 0.5 and 2.18 m, respectively. Similarly, the orientations of the field measurement results were also obtained between 33 and 71° and 0.58 and 2.25 m, respectively. The results of the IPT and the field survey were close, which revealed that the IPT is a reliable method for determining discontinuity spacing and rock block volume along large cut slopes. This approach provided rapid data processing with spatial extensions in a short period, making it possible to achieve accurate results in discontinuity network characteristics.



中文翻译:

使用图像处理技术估计不连续岩体的间距和块体体积:案例研究

应用图像处理技术 (IPT) 来识别岩体几何形状,可提供有关用于地球工程特征的不连续性特性的更快速信息。在这方面,可以使用 IPT 改进现场调查。本研究利用 IPT 来识别不连续岩体中的不连续性和块体体积特征。为此,考虑对位于伊朗阿萨卢耶的南帕尔斯特区的道路斜坡切割不连续的岩体露头进行目视评估。通过Python编程语言进行三步IPT分析(即预处理、主处理和后处理)以提取特征。关于 IPT 方法论,所研究的岩体特征包括四个主要的间断面组和间断面交叉点之间的岩块体积,这已通过扫描线实地调查得到证实。评估数据表明,IPT 处理的最大、最小和平均块体积分别为 1.068、0.479 和 1.055 m3,其现场测量结果分别为1.092、0.479和1.065 m 3。此外,估计的不连续性的方向和它们的间距由 IPT 确定,岩体的范围分别为 32 和 69.9°以及 0.5 和 2.18 m。类似地,也分别在 33°和 71°以及 0.58 和 2.25 m 之间获得了现场测量结果的方向。IPT结果与野外调查结果相近,表明IPT是确定大切坡断面间距和岩块体积的可靠方法。这种方法在短时间内提供了具有空间扩展的快速数据处理,使得在不连续网络特征中获得准确结果成为可能。

更新日期:2021-07-09
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