通过数字露头模型（DOM）切割的虚拟平面上的露头裂缝表征
Outcrop fracture characterization on suppositional planes cutting through digital outcrop models (DOMs)
摘要：
传统的裂缝数据采集方法通常在平面上实施或假设它们是平面的;这些方法可能会在不均匀的露头表面上引入采样误差。因此，在有限类型的露头表面（主要是层面）上收集的数据可能无法充分代表露头中的裂隙网络特征。最近开发的技术，从露头获得DOM和提取的完整范围的个人骨折提供了机会，以解决执行不均匀的露头表面上的传统采样方法的问题。在这项研究中，我们提出了一种新的方法，进行露头裂缝表征虚拟平面切割通过DOM。虚拟平面是露头面的最佳拟合平面，在虚拟平面上提取裂缝轨迹图，以便进一步表征裂缝网络。在16个不同粗糙度的不平整露头表面上，估算了传统方法引入的采样误差和新方法避免的采样误差。结果表明，传统的取样方法不适用于除层面或粗糙度> 0.04 m的露头外的露头，而本文提出的方法可以大大扩展露头裂缝表征的露头面类型，使虚拟平面穿过DOM。
英文摘要：
Conventional fracture data collection methods are usually implemented on planar surfaces or assuming they are planar; these methods may introduce sampling errors on uneven outcrop surfaces. Consequently, data collected on limited types of outcrop surfaces (mainly bedding surfaces) may not be a sufficient representation of fracture network characteristic in outcrops. Recent development of techniques that obtain DOMs from outcrops and extract the full extent of individual fractures offers the opportunity to address the problem of performing the conventional sampling methods on uneven outcrop surfaces. In this study, we propose a new method that performs outcrop fracture characterization on suppositional planes cutting through DOMs. The suppositional plane is the best fit plane of the outcrop surface, and the fracture trace map is extracted on the suppositional plane so that the fracture network can be further characterized. The amount of sampling errors introduced by the conventional methods and avoided by the new method on 16 uneven outcrop surfaces with different roughnesses are estimated. The results show that the conventional sampling methods don't apply to outcrops other than bedding surfaces or outcrops whose roughness > 0.04 m, and that the proposed method can greatly extend the types of outcrop surfaces for outcrop fracture characterization with the suppositional plane cutting through DOMs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
