Sefer Beran Çelik, İbrahim Çobanoğlu, Kazim Gireson
{"title":"Prediction and classification of flexural strength of rock materials used as dimension stones","authors":"Sefer Beran Çelik, İbrahim Çobanoğlu, Kazim Gireson","doi":"10.1007/s10064-024-04070-5","DOIUrl":null,"url":null,"abstract":"<div><p>Flexural strength is one of the important mechanical parameters of dimension stones used as flooring and surface covering. European Standards (EN) define two methods for determining flexural strength which are under concentrated load (<i>FS</i><sub><i>3</i></sub>) and under constant moment (<i>FS</i><sub><i>4</i></sub>). However, these test methods require precise sample preparation and specialized testing equipment. This study aims to establish correlations to practical estimation of <i>FS</i><sub><i>3</i></sub> and <i>FS</i><sub><i>4</i></sub> values from each other and also from common rock mechanics tests. For this purpose, 32 groups of building stones were tested in a comprehensive experimental study and a data set was generated. The following main findings were revealed; <i>FS</i><sub><i>4</i></sub> values are approximately 10% higher than <i>FS</i><sub><i>3</i></sub> values, Schmidt (<i>HS</i><sub><i>L</i></sub>) and Leeb (<i>HL</i><sub><i>D</i></sub>) hardness methods provide moderate prediction accuracy with R<sup>2</sup> value of ~ 0.7, uniaxial compressive strength (<i>UCS</i>), point load strength index (<i>PLI</i>), and Brazilian indirect tensile strength (<i>BTS</i>) tests provide higher prediction accuracy with R<sup>2</sup> value of ~ 0.8, especially when combined with P-wave velocity (<i>V</i><sub><i>P</i></sub>) values. In addition, anisotropy coefficients (<i>C</i><sub><i>A</i></sub>) were calculated between 3.7% and 23.1% for sample groups and it was revealed that the test parameters decreased as the <i>C</i><sub><i>A</i></sub> values increased. Based on these findings, a flexural strength classification with five categories was proposed to serve as a guideline for practical applications and projects.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"84 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-01-04","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/s10064-024-04070-5","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
Flexural strength is one of the important mechanical parameters of dimension stones used as flooring and surface covering. European Standards (EN) define two methods for determining flexural strength which are under concentrated load (FS3) and under constant moment (FS4). However, these test methods require precise sample preparation and specialized testing equipment. This study aims to establish correlations to practical estimation of FS3 and FS4 values from each other and also from common rock mechanics tests. For this purpose, 32 groups of building stones were tested in a comprehensive experimental study and a data set was generated. The following main findings were revealed; FS4 values are approximately 10% higher than FS3 values, Schmidt (HSL) and Leeb (HLD) hardness methods provide moderate prediction accuracy with R2 value of ~ 0.7, uniaxial compressive strength (UCS), point load strength index (PLI), and Brazilian indirect tensile strength (BTS) tests provide higher prediction accuracy with R2 value of ~ 0.8, especially when combined with P-wave velocity (VP) values. In addition, anisotropy coefficients (CA) were calculated between 3.7% and 23.1% for sample groups and it was revealed that the test parameters decreased as the CA values increased. Based on these findings, a flexural strength classification with five categories was proposed to serve as a guideline for practical applications and projects.
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.