文献类型：期刊文献

英文题名：Characterization of Joint Roughness Heterogeneity and Its Application in Representative Sample Investigations

作者：Du, Shi-Gui[1,2];Lin, Hang[3];Yong, Rui[1,2];Liu, Guang-Jian[1,2]

机构：[1]Ningbo Univ, Sch Civil & Environm Engn, Ningbo 315211, Zhejiang, Peoples R China;[2]Shaoxing Univ, Key Lab Rock Mech & Geohazards Zhejiang Prov, Shaoxing 312000, Zhejiang, Peoples R China;[3]Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China

年份：0

外文期刊名：ROCK MECHANICS AND ROCK ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:000770743900003)、、EI(收录号：20221211828755)、Scopus(收录号：2-s2.0-85126791645)、WOS

基金：The study was funded by the National Natural Science Foundation of China (Nos. 42177117, 41427802, and 41572299), Zhejiang Provincial Natural Science Foundation (No. LQ16D020001), and Zhejiang Collaborative Innovation Center for Prevention and Control of Mountain Geological Hazards (Nos. PCMGH-2017-Z03, PCMGH-2017-Y-04, and PCMGH-2017-Y-05).

语种：英文

外文关键词：Heterogeneity; Rock joint; Sampling method; Scale effect

外文摘要：Rock joint surface roughness is usually characterized by heterogeneity, but the determination of a required number of samples for achieving a reasonable heterogeneity assessment remains a challenge. In this paper, a novel method, the global search method, was proposed to investigate the heterogeneity of rock joint roughness. In this method, the roughness heterogeneity was characterized based on a statistical analysis of the roughness of all samples extracted from different locations of a given rock joint. Analyses of the effective sample number were conducted, which showed that sampling bias was caused by an inadequate number of samples. To overcome this drawback, a large natural slate joint sample (1000 mm x 1000 mm in size) was digitized in a laboratory using a high-accuracy laser scanner. The roughness heterogeneities of both two-dimensional (2D) profiles and three-dimensional (3D) surface topographies were systematically investigated. The results show that the expected value obtained from conventional methods failed to accurately represent the overall roughness. The relative errors between the population parameter and the expected value varied not only from sample to sample but also with the scale. The roughness heterogeneity characteristics of joint samples of various sizes can be obtained using the global search method. This new method could facilitate the determination of the most representative samples and their positions.