Improving the reliability of geotechnical design by incorporating realistic 3D DFN modeling

通过结合真实的 3D DFN 建模提高岩土设计的可靠性

• 批准号: 470490-2014
• 负责人: Cai, Ming
• 金额: $ 6.74万
• 依托单位: Laurentian University of Sudbury
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=646678
• 关键词: Improving; reliability; geotechnical; design; incorporating

Rock masses contain discontinuities at different scales, such as cracks, joints, shears and faults, forming discrete fracture networks (DFNs). The geometry of these fracture networks and the fracture surface conditions control the strength and deformation behaviour of rock masses and the geometry and interconnectivity of a DFN can influence groundwater flow and contaminant mobility. The motivation of this research program is to explore and test the application of innovative rule-based geostatistical methods in deriving improved realizations of site-specific DFN's that explicitly honour fracture network geometry and spatial characteristics.**** The engineering challenge is to advance the science of DFN modelling and to develop a robust software tool for engineers and geoscientists to conduct 3D DFN modelling more effectively and reliably. The objectives of the project are to: (1) develop improved algorithms, novel interface paradigms and novel workflows to allow geotechnical engineers to generate visually realistic and geologically plausible fracture networks; (2) investigate how rock engineering in fractured rock masses can be enhanced with the aid of better-characterized DFNs; (3) transfer knowledge to the industry by means of embedding algorithmic and methodological improvements in the MoFrac software tool and (ii) training of new HQP. The approach to be adopted is a combined application of experimental observation, field monitoring, and numerical modeling.**** The outcome of the research will contribute to the nuclear waste management organization and the mining industry in Canada to have an alternative tool to generate improved fracture network models at different scales (from sub-regional to tunnel scales). This has the distinct potential to advance DFN generation and materially improve the safety, productivity, and profitability of underground engineering projects.

岩体包含不同尺度的不连续性，例如裂缝、节理、剪切和断层，形成离散裂缝网络（DFN）。 这些裂缝网络的几何形状和裂缝表面条件控制着岩体的强度和变形行为，DFN 的几何形状和互连性可以影响地下水流和污染物的迁移性。该研究计划的动机是探索和测试基于规则的创新地质统计方法的应用，以改进特定地点 DFN 的实现，明确尊重裂缝网络几何形状和空间特征。**** 工程挑战是推进DFN 建模科学，并为工程师和地球科学家开发强大的软件工具，以便更有效、更可靠地进行 3D DFN 建模。 该项目的目标是：（1）开发改进的算法、新颖的界面范例和新颖的工作流程，使岩土工程师能够生成视觉上真实且地质上合理的裂缝网络； (2) 研究如何借助更好表征的 DFN 来增强裂隙岩体中的岩石工程； (3) 通过在 MoFrac 软件工具中嵌入算法和方法改进，向行业传递知识；(ii) 培训新的 HQP。所采用的方法是实验观察、现场监测和数值模拟的结合应用。****研究成果将有助于加拿大的核废料管理组织和采矿业拥有一种替代工具来产生核废料。改进了不同尺度（从次区域到隧道尺度）的裂缝网络模型。这对于推进 DFN 发电并显着提高地下工程项目的安全性、生产率和盈利能力具有独特的潜力。