{"title":"岩石节理粗糙度层析扫描","authors":"Nick Braun","doi":"10.1080/25726838.2022.2035641","DOIUrl":null,"url":null,"abstract":"ABSTRACT Geotechnical logging of drillcore typically includes joint roughness due to its importance in rock mass characterisation. Here we propose digitising the measurement of roughness via a tomography scan. Image processing steps are described for relating the scan to a simple profilometric definition of roughness. The approach is amenable to directional statistical visualisation on a stereoplot.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"131 1","pages":"27 - 31"},"PeriodicalIF":0.9000,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Tomographic scanning of rock joint roughness\",\"authors\":\"Nick Braun\",\"doi\":\"10.1080/25726838.2022.2035641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Geotechnical logging of drillcore typically includes joint roughness due to its importance in rock mass characterisation. Here we propose digitising the measurement of roughness via a tomography scan. Image processing steps are described for relating the scan to a simple profilometric definition of roughness. The approach is amenable to directional statistical visualisation on a stereoplot.\",\"PeriodicalId\":43298,\"journal\":{\"name\":\"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy\",\"volume\":\"131 1\",\"pages\":\"27 - 31\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2022-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/25726838.2022.2035641\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/25726838.2022.2035641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
ABSTRACT Geotechnical logging of drillcore typically includes joint roughness due to its importance in rock mass characterisation. Here we propose digitising the measurement of roughness via a tomography scan. Image processing steps are described for relating the scan to a simple profilometric definition of roughness. The approach is amenable to directional statistical visualisation on a stereoplot.