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Developing a 3D stochastic discrete fracture network model for hydraulic analyses

机译:开发用于水力分析的3D随机离散裂缝网络模型

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Fluid flow in jointed rock mass with impermeable matrix is often controlled by joint properties, including aperture, orientation, spacing, persistence and etc. On the other hand, since the rock mass is made of heterogeneous and anisotropic natural materials, geometric properties of joints may have dispersed values. One of the most powerful methods for simulation of stochastic nature of geometric characteristics of joins is three dimensional stochastic discrete fracture network (DFN) modelling. The current research is conducted to develop an applicable discrete fracture network model for hydraulic analyses. Also, DFN-FRAC3D software – which was proposed earlier for mechanical analysis - is developed to construct a hydraulic DFN. For this purpose, joint aperture parameter is added to other geometric features of model including orientation, spacing, persistence and intensity. In order to develop an accurate hydraulic DFN model, correlation between the joint aperture and length is also considered, that has not been observed in most previous studies. In this study, the software is developed for detection of connected joint networks. In order to test the performance of the provided simulator, a 3D hydraulic model for fracture network of rock mass in Mazino region is presented.
机译:具有不可渗透基质的节理岩体中的流体流动通常受节理特性控制,包括孔径,方向,间距,持久性等。另一方面,由于岩体由非均质和各向异性的天然材料制成,节理的几何特性可能会有所改变。具有分散的价值。模拟连接件几何特征的随机性的最强大方法之一是三维随机离散断裂网络(DFN)建模。进行当前的研究以开发适用于水力分析的离散裂缝网络模型。此外,还开发了DFN-FRAC3D软件(较早提出用于机械分析),以构建液压DFN。为此,将关节孔径参数添加到模型的其他几何特征中,包括方向,间距,持久性和强度。为了建立精确的液压DFN模型,还考虑了接头孔径和长度之间的相关性,这在以前的大多数研究中都没有观察到。在这项研究中,开发了用于检测连接的联合网络的软件。为了测试所提供模拟器的性能,提出了Mazino地区岩体裂缝网络的3D水力模型。

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