Influence of data analysis when exploiting DFN model representation in the application of rock mass

• 作 者: Takako Miyoshi Davide Elmo Ste
• 机 构: NBKInstituteofMining,GolderAssociatesLtd.
• 出 处: 岩石力学与岩土工程学报:英文版
• 发表日期: 2018年6期
• 关键词: Data COLLECTION DISCRETE fracture network(DFN) Classification system GEOLOGICAL
• 基金项目: NSERC (Natural Sciences and Engineering Research Council of Canada) for the financial support provided to this research through a Collaborative Research Development grant (Grant No. 11R74149, Mine-to-

Discrete fracture network(DFN)models have been proved to be effective tools for the characterisation of rock masses by using statistical distributions to generate realistic three-dimensional(3D)representations of a natural fracture network.The quality of