The geometric shape of the slope and the distribution characteristics of the complex fracture system significantly impact the stability of highly-jointed rock slopes. Constructing an accurate three-dimensional (3D) geological model is crucial for the 3D stability analysis of these slopes. However, the numerous minor discontinuities in rock slopes complicate model construction and reduce computational efficiency. This paper proposes a stability-analysis method for highly-jointed rock slopes that integrates automatic identification of real discontinuities with hierarchical modeling of 3D multi-scale fracture networks. Real discontinuity information was automatically extracted using a developed fuzzy k-means clustering algorithm, which calculated the number of dominant discontinuity sets and their spatial distribution laws. The Monte Carlo stochastic method was then employed to generate a complex 3D fracture-network system with statistical characteristics identical to those of the real discontinuities. The multi-scale fracture network was classified based on trace length. Given the numerous minor discontinuities that significantly impact computational efficiency, synthetic rock mass technology was utilized to determine the representative elementary volume with equivalent rock-mass characteristics to reasonably generalise the geological engineering model of rock slopes with complex fractures. In applying the slope-excavation stability analysis and evaluation to the Feishuiyan rock slope, the method achieved high automation in contactless scanning, efficient identification of discontinuity effects, accurate model calculations, and reliable stability analysis during the generalization of the geological engineering model. This method proved effective for stability analysis of highly-jointed rock-slope excavations, and is significant for engineering evaluation, as well as for disaster prevention and mitigation of complex rock slopes.

中文翻译：

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集成自动不连续性识别和多尺度分层建模，用于高度节理岩石边坡的稳定性分析


边坡的几何形状和复杂裂隙系统的分布特征对高节理岩质边坡的稳定性有显著影响。构建精确的三维 （3D） 地质模型对于这些边坡的 3D 稳定性分析至关重要。然而，岩石边坡中的许多微小不连续性使模型构建复杂化并降低了计算效率。本文提出了一种高度节理岩石边坡的稳定性分析方法，该方法将真实不连续性的自动识别与 3D 多尺度裂隙网络的分层建模相结合。使用开发的模糊 k-means 聚类算法自动提取真实的不连续信息，该算法计算了主要不连续集的数量及其空间分布规律。然后采用蒙特卡洛随机方法生成一个复杂的 3D 裂缝网络系统，其统计特征与真实不连续性相同。多尺度裂缝网络根据痕量长度进行分类。鉴于许多对计算效率有重大影响的微小不连续性，合成岩体技术被用来确定具有等效岩体特征的代表性基本体积，以合理地概括具有复杂裂隙的岩质边坡的地质工程模型。该方法将边坡-开挖稳定性分析评价应用于飞水岩边坡，实现了无损扫描的高度自动化、不连续效应的高效识别、模型计算的准确、地质工程模型泛化过程中稳定性分析的可靠性。 该方法对高节理岩质边坡开挖的稳定性分析具有有效的效果，对工程评价以及复杂岩质边坡的防灾减灾具有重要意义。