A new multiple-factor clustering method considering both box fractal dimension and orientation of joints

作     者：Tiexin Liu Annan Jiang Jianhui Deng Jun Zheng Zhenghu Zhang Tiexin Liu;Annan Jiang;Jianhui Deng;Jun Zheng;Zhenghu Zhang

作者机构：Department of Civil EngineeringDalian Maritime UniversityDalian116026China State Key Laboratory of Hydraulics and Mountain River EngineeringCollege of Water Resource&HydropowerSichuan UniversityChengdu610065China Department of Civil EngineeringZhejiang UniversityHangzhou310058China State Key Laboratory of the Coastal and Offshore EngineeringSchool of Civil EngineeringDalian University of TechnologyDalian116024China 

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：2022年第14卷第2期

页      面：366-376页

核心收录：

学科分类：08[工学] 080104[工学-工程力学] 0818[工学-地质资源与地质工程] 0801[工学-力学（可授工学、理学学位）] 

基　　金：funded by the National Natural Science Foundation of China(Grant Nos.41972264 and 52078093) Liaoning Revitalization Talents Program,China(Grant No.XLYC1905015)。 

主　　题：Joint clustering Box fractal dimension(BFD) Orientation Hard boundary 

摘      要：The paper proposes a new multiple-factor clustering method(NMFCM)with consideration of both box fractal dimension(BFD)and orientation of joints.This method assumes that the BFDs of different clusters were uneven,and clustering was performed by redistributing the joints near the boundaries of clusters on a polar map to maximize an index for estimating the difference of the BFD(DBFD).Three main aspects were studied to develop the NMFCM.First,procedures of the NMFCM and reasonableness of assumptions were illustrated.Second,main factors affecting the NMFCM were investigated by numerical simulations with disk joint models.Finally,two different sections of a rock slope were studied to verify the practicability of the NMFCM.The results demonstrated that:(1)The NMFCM was practical and could effectively alleviate the problem of hard boundary during clustering;(2)The DBFD tended to increase after the improvement of clustering accuracy;(3)The improvement degree of the NMFCM clustering accuracy was mainly influenced by three parameters,namely,the number of clusters,number of redistributed joints,and total number of joints;and(4)The accuracy rate of clustering could be effectively improved by the NMFCM.