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Fourier-based generation method of rough discrete fracture network
International Journal of Rock Mechanics and Mining Sciences ( IF 7.2 ) Pub Date : 2023-06-07 , DOI: 10.1016/j.ijrmms.2023.105424
Jingren Zhou, Feiyue Liu, Sayedalireza Fereshtenejad, Feng Dai, Jiong Wei, Yujia Tang

Natural fractures have been often generated with rough morphologies as a result of complex geological processes. Joint surface undulation/roughness degree dominantly affects mechanical characteristics of jointed rock masses, hence should be considered in geometrical modeling of fracture networks. Considering the intrinsic geometric characteristic of natural fractures, this paper proposes a method to generate rough discrete fracture networks (RDFN) for jointed rock mass. Fourier transform is employed to obtain statistical spectrum information of natural rough fractures and fractures in the RDFN model are individually reconstructed in spatial frequency domain based on the information. Besides, three scale-independent shape descriptors, namely Elongation, Regularity and Smoothness, are selected to characterize the geometric characteristics of fractures in different scales and to verify the rationality of the proposed method. A case study is further employed to demonstrate the accuracy of the proposed method, and its applicability to numerical realization is discussed. The proposed method is important for a wide range of applications when considering the discrete modelling of rough fractures.



中文翻译:

基于傅里叶的粗糙离散裂缝网络生成方法

由于复杂的地质过程,天然裂缝往往具有粗糙的形态。节理面起伏/粗糙度主要影响节理岩体的力学特性,因此在裂缝网络的几何建模中应予以考虑。考虑到天然裂缝的内在几何特征,本文提出了一种生成节理岩体粗糙离散裂缝网络(RDFN)的方法。采用傅立叶变换获取天然粗糙裂缝的统计谱信息,RDFN模型中的裂缝单独重建基于信息的空间频域。此外,选取伸长率、规则性和平滑度三个尺度无关的形状描述符来表征不同尺度下裂缝的几何特征,验证所提方法的合理性。进一步通过案例研究证明了所提方法的准确性,并讨论了其在数值实现中的适用性。当考虑粗糙裂缝的离散建模时,所提出的方法对于广泛的应用很重要。

更新日期:2023-06-07
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