Xiaobo Zhang, Zhisong Cao, Yongli Ma, Chi Yao, Jianhua Yang, Zhiwei Ye, Chuangbing Zhou
{"title":"A roughness quantification method of rock discontinuity considering the influence of both inclination and amplitude of asperities","authors":"Xiaobo Zhang, Zhisong Cao, Yongli Ma, Chi Yao, Jianhua Yang, Zhiwei Ye, Chuangbing Zhou","doi":"10.1007/s10064-025-04277-0","DOIUrl":null,"url":null,"abstract":"<div><p>The existing quantitative evaluation methods of joint roughness are rich in achievements, among them most methods mainly focus on the influence of either the inclination or the height of joint asperity, and seldom consider both the two factors in the overall roughness quantification of rock joints. In this study, a batch of granite and sandstone joints were prepared for three-dimensional morphology analysis and were subjected to direct shear tests. The Structure-from-Motion (SfM) photogrammetry technique was adopted to digitally reconstruct the three-dimensional joint morphology, which provided data basis for roughness quantification. The non-stationary joint morphology was identified and was removed from the original morphology. Based on the stationary morphology feature, the influence of asperity amplitude on roughness estimation was investigated and a significant effect was revealed. A new statistical roughness parameter, the amplitude-weighted average asperity inclination <i>θ</i><sub>aw</sub>, was proposed that consider extra the contribution of the asperity height feature. In order to quantitatively estimate the JRC for a certain rock joint, a prediction model was suggested to assess the JRC of two-dimensional (2D) joint profile using the new roughness parameter <i>θ</i><sub>aw</sub>. The model was validated to be effective in predicting JRC of joint profiles from published studies. Subsequently, another model was established to predict the JRC of three-dimensional (3D) joint surface by incorporating a three-dimensional influence factor <i>f</i><sub>3D</sub> into the 2D model. This 3D model was verified to have high prediction accuracy in quantifying the roughness of rough joints, through both test results and published data.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 6","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Engineering Geology and the Environment","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10064-025-04277-0","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
The existing quantitative evaluation methods of joint roughness are rich in achievements, among them most methods mainly focus on the influence of either the inclination or the height of joint asperity, and seldom consider both the two factors in the overall roughness quantification of rock joints. In this study, a batch of granite and sandstone joints were prepared for three-dimensional morphology analysis and were subjected to direct shear tests. The Structure-from-Motion (SfM) photogrammetry technique was adopted to digitally reconstruct the three-dimensional joint morphology, which provided data basis for roughness quantification. The non-stationary joint morphology was identified and was removed from the original morphology. Based on the stationary morphology feature, the influence of asperity amplitude on roughness estimation was investigated and a significant effect was revealed. A new statistical roughness parameter, the amplitude-weighted average asperity inclination θaw, was proposed that consider extra the contribution of the asperity height feature. In order to quantitatively estimate the JRC for a certain rock joint, a prediction model was suggested to assess the JRC of two-dimensional (2D) joint profile using the new roughness parameter θaw. The model was validated to be effective in predicting JRC of joint profiles from published studies. Subsequently, another model was established to predict the JRC of three-dimensional (3D) joint surface by incorporating a three-dimensional influence factor f3D into the 2D model. This 3D model was verified to have high prediction accuracy in quantifying the roughness of rough joints, through both test results and published data.
期刊介绍:
Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces:
• the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations;
• the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change;
• the assessment of the mechanical and hydrological behaviour of soil and rock masses;
• the prediction of changes to the above properties with time;
• the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.