评估结合式块模型的准确性,以预测岩石质量的模拟机械行为
Isabella West1,2, Gabriel Walton1, Sankhaneel Sinha1,3
1Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO 80401, USA.
Materials (Basel, Switzerland)
|January 11, 2024
概括
合成岩石质量建模 (SRM) 准确地使用校准的结合式块模型 (BBM) 和离散断裂网络 (DFN) 预测岩石质量行为. 这种经过验证的方法模拟了大规模的岩层,为工业和学术界提供了潜力.
科学领域:
- 地质技术工程 地质技术工程
- 计算式岩石力学 岩石力学
- 材料科学 是一种材料科学.
背景情况:
- 岩石质量包括完整的岩石和关节,由于规模,这对直接实验室测试构成了挑战.
- 合成岩石质量建模 (SRM),集成离散元素模型 (DEM) 和离散断裂网络 (DFN),用于模拟现场规模的行为.
- 现有的SRM验证依赖于从业人员的经验,缺乏详细的同行评审研究.
研究的目的:
- 评估SRM方法对岩石质量行为的预测能力.
- 在SRM中验证Bonded Block Models (BBM) 的使用,以模拟结合岩石.
- 将SRM预测与Blanco Mera花岩的实验室数据进行比较.
主要方法:
- 为Blanco Mera花岩创建了一个校准的结合式块模型 (BBM),与其颗粒结构和成分相匹配.
- 将离散断裂网络 (DFN) 集成到BBM中,从实验室样本中复制关节组.
- 将联合BBM的模拟行为与实际联合实验室样本进行了比较.
主要成果:
- 结合式块模型 (BBM) 成功预测了岩石质量模拟样本的行为,这些样本具有预先存在的DFN,没有重新校准.
- 该模型准确地估计了结合样本的强度,扩张和微裂特性.
- 这项研究提供了SRM对关节性岩石质量的第一个基于文献的验证.
结论:
- 使用结合块模型 (BBM) 的合成岩石质量建模 (SRM) 证明了模拟岩石质量行为的巨大潜力.
- 经过验证的SRM方法为工业应用和岩石力学学术研究提供了可靠的工具.
- 这项研究为进一步研究 SRM 在地力学中的预测能力奠定了基础.
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