Chengqiang Xuan, Yangsong Zhang, Wentao Xu, Xiaozhao Li, Ning Zhang
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The FCM method is improved by embedding with the CFSFDP algorithm in the discontinuity sets grouping. The CFSFDP algorithm coincides well with the Fisher distribution of discontinuity orientations, which is suitable for the Beishan situation. A parallel scheme is used when implementing the method, which accelerates the discontinuity calculation. This improved rock discontinuity identification method was tested on a slope above the BET and applied in the BET. The discontinuity identification results were compared with the results from the manual field measurement and the open‐source software DSE. The results show that the improved discontinuity identification method obtains reliable discontinuity data and costs less time and human workload than the other two methods. 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引用次数: 0
摘要
北山探索隧道(BET)是为开发中国首个高放射性核废物(HLW)处置安全相关技术而建造的设施。围岩不连续面识别是北山探洞的关键研究课题,可为未来高放射性核废料处置稳定性和完整性研究提供重要的地质数据。本文介绍了基于运动结构(SfM)摄影测量技术的 BET 岩石不连续性识别研究进展。通过引入区域生长算法来优化候选子平面,改进了不连续面识别算法。该算法自动挑选种子,避免了人工干预,从而提高了不连续性识别的工作效率。在不连续集分组中嵌入 CFSFDP 算法,改进了 FCM 方法。CFSFDP 算法与不连续面方向的 Fisher 分布吻合度很高,适合北山的情况。该方法采用并行方案,加快了不连续计算速度。这种改进的岩石不连续性识别方法在 BET 上的斜坡上进行了测试,并应用于 BET 中。不连续性识别结果与人工实地测量和开源软件 DSE 的结果进行了比较。结果表明,改进后的不连续面识别方法能获得可靠的不连续面数据,与其他两种方法相比,花费的时间和人力更少。围岩不连续性识别研究为北山 HLW 处置地质调查提供了有力工具。
Beishan exploration tunnel surrounding rock discontinuity identification based on structure from motion photogrammetry technology
The Beishan Exploration Tunnel (BET) is a facility built to develop technologies associated with the safety of China's first high‐level radioactive nuclear waste(HLW) disposal. The surrounding rock discontinuity identification is a key research topic in BET, which could provide essential geological data for future HLW disposal stability and integrity research. This article presents the rock discontinuity identification research progress in BET based on Structure from Motion (SfM) photogrammetry technology. The discontinuity identification algorithm is improved by introducing the region‐growing algorithm to optimize the candidate subplane. This algorithm automatically picks the seed, avoids human intervention, and thus increases the work efficiency of the discontinuity identification. The FCM method is improved by embedding with the CFSFDP algorithm in the discontinuity sets grouping. The CFSFDP algorithm coincides well with the Fisher distribution of discontinuity orientations, which is suitable for the Beishan situation. A parallel scheme is used when implementing the method, which accelerates the discontinuity calculation. This improved rock discontinuity identification method was tested on a slope above the BET and applied in the BET. The discontinuity identification results were compared with the results from the manual field measurement and the open‐source software DSE. The results show that the improved discontinuity identification method obtains reliable discontinuity data and costs less time and human workload than the other two methods. The surrounding rock discontinuity identification research provides a powerful tool for the Beishan HLW disposal geological investigation.