Predicting the strength, density, and porosity of rocks from roll crusher tests

IF 0.7 4区 材料科学 Q4 METALLURGY & METALLURGICAL ENGINEERING
S. Kahraman, I. Ince, M. Rostami̇, B. Di̇bavar
{"title":"Predicting the strength, density, and porosity of rocks from roll crusher tests","authors":"S. Kahraman, I. Ince, M. Rostami̇, B. Di̇bavar","doi":"10.17159/2411-9717/1528/2024","DOIUrl":null,"url":null,"abstract":"The density, porosity, and strength of rocks are fundamental in the design of geo-engineering projects. Determining these properties requires the preparation of smooth core samples, which is usually impossible for soft rocks. Besides, only fragmented samples may be available in some projects. A method for predicting rock properties from rock particles such as drilling debris would therefore be useful. This study was undertaken to develop prediction equations for compressive strength (UCS), tensile strength (BTS), density, and porosity values from the crushability index (CI) obtained from rock fragments. The results showed that UCS, BTS, density, and porosity were strongly correlated with the CI. The physical characteristics and strength of rocks may be predicted with the help of the derived equations. The CI test is a valuable tool for estimating rock properties in drilling projects and in situations where core specimens are not available.","PeriodicalId":49025,"journal":{"name":"Journal of the Southern African Institute of Mining and Metallurgy","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Southern African Institute of Mining and Metallurgy","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.17159/2411-9717/1528/2024","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"METALLURGY & METALLURGICAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

The density, porosity, and strength of rocks are fundamental in the design of geo-engineering projects. Determining these properties requires the preparation of smooth core samples, which is usually impossible for soft rocks. Besides, only fragmented samples may be available in some projects. A method for predicting rock properties from rock particles such as drilling debris would therefore be useful. This study was undertaken to develop prediction equations for compressive strength (UCS), tensile strength (BTS), density, and porosity values from the crushability index (CI) obtained from rock fragments. The results showed that UCS, BTS, density, and porosity were strongly correlated with the CI. The physical characteristics and strength of rocks may be predicted with the help of the derived equations. The CI test is a valuable tool for estimating rock properties in drilling projects and in situations where core specimens are not available.
通过辊式破碎机试验预测岩石的强度、密度和孔隙率
岩石的密度、孔隙度和强度是设计地质工程项目的基础。确定这些属性需要制备光滑的岩芯样本,而这对于软岩来说通常是不可能的。此外,在某些项目中,可能只能获得破碎的样本。因此,从钻屑等岩石颗粒中预测岩石属性的方法非常有用。本研究旨在根据从岩石碎片中获得的可压碎性指数(CI),建立抗压强度(UCS)、抗拉强度(BTS)、密度和孔隙度值的预测方程。结果表明,UCS、BTS、密度和孔隙度与 CI 密切相关。岩石的物理特性和强度可借助推导出的方程式进行预测。CI 试验是在钻探项目中以及在没有岩心标本的情况下估算岩石特性的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of the Southern African Institute of Mining and Metallurgy
Journal of the Southern African Institute of Mining and Metallurgy METALLURGY & METALLURGICAL ENGINEERING-MINING & MINERAL PROCESSING
CiteScore
1.50
自引率
11.10%
发文量
0
审稿时长
4.3 months
期刊介绍: The Journal serves as a medium for the publication of high quality scientific papers. This requires that the papers that are submitted for publication are properly and fairly refereed and edited. This process will maintain the high quality of the presentation of the paper and ensure that the technical content is in line with the accepted norms of scientific integrity.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信