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A new excavation analysis method for slope design using discrete fracture network based polyhedral modelling
Institution:1. CSIRO Energy Flagship, Australia;2. Glencore, Australia;1. Formerly Permian State University, Dept. of Geology, Perm, 614600, Russia;2. Department of Natural Sciences, National Museum of Scotland, Edinburgh, EH1 1JF, UK;3. Department of Earth Sciences, Natural History Museum, London, SW7 5BD, UK;4. Institute of Systematic and Evolution of Animals, Polish Academy of Sciences, 31-016, Kraków, Poland;5. Department of Invertebrate Zoology and Hydrobiology, University of Łódź, 90-237, Łódź, Poland;1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;2. College of Computer and Information, Hohai University, Nanjing 210098, China;1. Shandong University of Science and Technology, Qingdao 266510, PR China;2. State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, Nanjing 210008, PR China;3. University of the Chinese Academy of Sciences, Beijing 100049, PR China;4. Department of Earth Sciences, Natural History Museum, London SW7 5BD, UK;5. Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Science, Beijing 100101, PR China;1. Department of Mathematics, Harran University, 63290, Şanlıurfa, Turkey;2. Department of Mathematics, Middle East Technical University, 06800, Ankara, Turkey;1. Clean Combustion Research Centre, Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia;2. Mechanical Engineering Department, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt;3. Sir Harry Ricardo Laboratories, Centre for Automotive Engineering, School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, United Kingdom
Abstract:A method to analyse potential excavation geometries, termed excavation isoplethogram, has previously been proposed for use in civil or mining engineering. The results are typically presented in the form of a contour plot identifying orientations of proposed excavation planes that may lead to large volumes (or masses) of unstable blocks and wedges. In this paper, a novel algorithm is proposed to utilise the probabilistic discrete fracture network approach to quantify the risk associated with various slope designs. The method is applied using open cut mine data in order to demonstrate its potential for decision making in mine design and operations.
Keywords:Isoplethogram  Discrete fracture network (DFN)  Polyhedral modelling  Progressive failure  Rigid block stability analysis
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