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Structure from Motion photogrammetry to characterize underground rock masses: Experiences from two real tunnels

机译:从运动摄影测量法表征地下岩体的结构:两条真实隧道的经验

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A new methodology to identify discontinuity sets at the tunnel face based on the Structure from Motion (SfM) photogrammetric technique is proposed. The work focuses on the performance of this technique when employed to characterize the ground mass under real tunneling conditions, illustrating its possibilities and analyzing several aspects that affect the quality of the obtained results. By means of a set of overlapping photographs from the tunnel face, SfM constructs a 3D point cloud model, from which discontinuities are identified using a discontinuity set extractor software. To orientate and scale the digital model, an easy-to-use “portable orientation template”, specifically developed for this work, is employed. The proposed methodology is applied to two real tunnels under construction in Northern Spain. Its results are compared with those obtained with a traditional analysis based on manual compass measurements. Results show that the SfM methodology provides an adequate characterization of the structure of the rock mass, identifying the same number of discontinuity sets as the compass measurements approach and with differences in orientation that are within the uncertainty range associated to manual measurements. Only one sub-horizontal set presented higher orientation differences, but this is mainly due to the presence of shotcrete at the face. In addition to the advantages of a “distant” measurement technique—e.g., health and safety advantages, capability to characterize unreachable areas, etc.—, as well as to the advantage of its reduced cost, the proposed SfM methodology and its associated tools allow one to represent planes associated to each discontinuity set back into the original 3D digital point model, and to perform detailed analyses that clarify and improve the obtained results. Finally, an analysis about the minimum number of photographs needed to adequately characterize the tunnel face is conducted, with results showing that around 15 good quality photographs are enough for tunnel faces with excavated areas of about 50 m2.
机译:提出了一种基于运动结构(SfM)摄影测量技术的隧道面不连续集识别方法。这项工作着重于这项技术在表征真实隧道条件下的地面质量时的性能,阐明了其可能性并分析了影响获得结果质量的几个方面。 SfM借助来自隧道面的一组重叠照片,构建了3D点云模型,使用不连续集提取器软件可以从中识别不连续性。为了定向和缩放数字模型,采用了专门为此工作开发的易于使用的“便携式定向模板”。拟议的方法适用于西班牙北部正在建设的两条实际隧道。将其结果与基于手动指南针测量的传统分析获得的结果进行比较。结果表明,SfM方法可对岩体的结构进行充分的表征,识别出与指南针测量方法相同数量的不连续集,并且方向差异在与手动测量相关的不确定性范围内。只有一个水平下组具有较高的方向差异,但这主要是由于面部存在喷射混凝土。除了“远距离”测量技术的优点(例如,健康和安全优势,表征无法到达区域的能力等),以及其成本降低的优点外,建议的SfM方法及其相关工具还可以实现一个代表与每个不连续性相关的平面,然后将其设置回原始3D数字点模型,并执行详细的分析,以澄清和改善所获得的结果。最后,对充分表征隧道工作面所需的最少照片数量进行了分析,结果表明,大约有15张高质量照片足以用于挖掘面积约为50μm2的隧道工作面。

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