The relation between uniaxial compressive and Brazilian tensile strength

J. Rostami, S. Kahraman, X. Yu, H. Copur, C. Balci, W. Bamford, B. Asbury

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Uniaxial compressive strength (UCS) and the Brazilian tensile strength (BTS) are the most commonly used rock properties. The UCS/BTS ratio is used as an indicator of rock brittleness and to estimate UCS from BTS (or vice versa). However, the relation between UCS and BTS has not been investigated in detail. This paper focuses on UCS/BTS ratio using the raw data pertaining to 1842 rock types from different research institutes. Regression analysis indicated that power law or exponential relations offers a better best fit correlation between UCS and BTS for each data set from different institute than linear function which has been typically offered in the past. Power function was also found to offer a better relationship between UCS and BTS for the all data under evaluation. The correlation coefficient of power function (r = 0.79) was higher than that of the linear function (r = 0.64).

Original languageEnglish
Title of host publicationISRM International Symposium - EUROCK 2016
PublisherInternational Society for Rock Mechanics
Pages147-152
Number of pages6
ISBN (Electronic)9781138032651
Publication statusPublished - 2016
EventISRM International Symposium - EUROCK 2016 - Urgup, Turkey
Duration: 29 Aug 201631 Aug 2016

Publication series

NameISRM International Symposium - EUROCK 2016

Conference

ConferenceISRM International Symposium - EUROCK 2016
Country/TerritoryTurkey
CityUrgup
Period29/08/1631/08/16

Bibliographical note

Publisher Copyright:
© 2016 Taylor & Francis Group, London

Funding

Authors would like to express their gratitude to The Scientific and Technological Research Council of Turkey (TUBITAK) for supporting Dr. Kahraman's stay at Penn State University in State College PA, USA, which made this collaborative effort possible. Authors also would like to thank Professor Nuh Bilgin for sharing his data.

FundersFunder number
Pennsylvania State University
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

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