The synthetic rock mass (SRM) approach and discrete fracture network (DFN) model, generated from the field surveys, are novel methodologies to study fracture rock mass behavior. In this paper, SRM and DFN methodologies were used to understand the influence of natural fractures on the mechanical response and failure mechanisms of stone mine pillars. First, a multi-stage up-scaling procedure with the homogenization process is established. Later, a stochastic sampling process on the SRM model to have further insight on the stone mine pillar mechanics is performed. Two-dimensional Universal Distinct Element Code (UDEC) is utilized to represent intact rock with the Voronoi-Trigon discretized blocks and to capture fractured rock mass behavior. The laboratory-size limestone mine rock specimens are systematically up-scaled to the average width of the field-size stone mine pillars. Then, the DFN model, generated from field data, is sampled to construct the SRM of the field-size pillars. By doing so, the effect of discrete discontinuities on pillar stability is studied by assessing the pillar strengths and failure mechanisms in various width-to-height ratios.

由现场调查产生的合成岩体 (SRM) 方法和离散裂缝网络 (DFN) 模型是研究裂缝岩体行为的新方法。在本文中，使用 SRM 和 DFN 方法来了解天然裂缝对石矿柱力学响应和破坏机制的影响。首先，建立了具有同质化过程的多阶段放大程序。随后，对 SRM 模型执行随机抽样过程，以进一步了解石矿柱力学。二维通用独特元素代码 (UDEC) 用于表示具有 Voronoi-Trigon 离散块的完整岩石并捕获破裂岩体行为。实验室大小的石灰石矿山岩石标本被系统地放大到现场大小的石矿柱的平均宽度。然后，对从现场数据生成的 DFN 模型进行采样，以构建字段大小支柱的 SRM。通过这样做，通过评估不同宽高比的支柱强度和失效机制来研究离散不连续性对支柱稳定性的影响。