A three-dimensional feature extraction-based method for coal cleat characterization using X-ray μCT and its application to a Bowen Basin coal specimen

作     者：Yulai Zhang Matthew Tsang Mark Knackstedt Michael Turner Shane Latham Euan Macaulay Rhys Pitchers Yulai Zhang;Matthew Tsang;Mark Knackstedt;Michael Turner;Shane Latham;Euan Macaulay;Rhys Pitchers

作者机构：ARC Training Centre for M3D InnovationResearch School of PhysicsAustralian National UniversityCanberraACT2601Australia Department of Materials PhysicsResearch School of PhysicsAustralian National UniversityCanberraACT2601Australia Anglo American Steelmaking CoalBrisbaneQLD4000Australia SCT Operations Pty Ltd.WollongongNSW2500Australia 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文版）)

年 卷 期：2024年第16卷第1期

页      面：153-166页

核心收录：

学科分类：081901[工学-采矿工程] 0819[工学-矿业工程] 08[工学] 

基　　金：the funding support from the Australian Research Council the ARC Training Centre for Multiscale 3D Imaging, Modeling and Manufacturing 

主　　题：Cleat separation Cleat statistics Feature extraction Discrete fracture network(DFN)modeling 

摘      要：Cleats are the dominant micro-fracture network controlling the macro-mechanical behavior of *** understanding of the spatial characteristics of cleat networks is therefore important to the coal mining *** fracture networks(DFNs)are increasingly used in engineering analyses to spatially model fractures at various *** reliability of coal DFNs largely depends on the confidence in the input cleat *** of these parameters can be made from image-based three-dimensional(3D)characterization of coal cleats using X-ray micro-computed tomography(m CT).One key step in this process,after cleat extraction,is the separation of individual cleats,without which the cleats are a connected network and statistics for different cleat sets cannot be *** this paper,a feature extraction-based image processing method is introduced to identify and separate distinct cleat groups from 3D X-ray m CT ***(filters)representing explicit cleat features of coal are built and cleat separation is successfully achieved by convolutional operations on 3D coal *** new method is applied to a coal specimen with 80 mm in diameter and 100 mm in length acquired from an Anglo American Steelmaking Coal mine in the Bowen Basin,Queensland,*** is demonstrated that the new method produces reliable cleat separation capable of defining individual cleats and preserving 3D topology after ***-parallel fractures are also identified and separated,which has his-torically been challenging to delineate and rarely reported.A variety of cleat/fracture statistics is measured which not only can quantitatively characterize the cleat/fracture system but also can be used for DFN ***,variability and heterogeneity with respect to the core axis are *** heterogeneity is observed and suggests that the representative elementary volume(REV)of the cleat groups for engineering purposes may be a complex problem requ