The use of index tests to determine the mechanical properties of crushed aggregates from Precambrian basement complex rocks, Ado-Ekiti, SW Nigeria

被引:18
作者
Afolagboye, Lekan Olatayo [1 ]
Talabi, Abel Ojo [1 ]
Oyelami, Charles Adebayo [2 ]
机构
[1] Ekiti State Univ, Dept Geol, Ado Ekiti, Nigeria
[2] Osun State Univ, Dept Geol Sci, Osogbo, Nigeria
关键词
Aggregates; Correlation coefficient; Point load strength; Schmidt hammer rebound value; Unconfined compressive strength; UNIAXIAL COMPRESSIVE STRENGTH; ABRASION;
D O I
10.1016/j.jafrearsci.2017.02.013
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study assessed the possibility of using index tests to determine the mechanical properties of crushed aggregates. The aggregates used in this study were derived from major Precambrian basement rocks in Ado-Ekiti, Nigeria. Regression analyses were performed to determine the empirical relations that mechanical properties of the aggregates may have with the point load strength (I-s(50)), Schmidt rebound hammer value (SHR) and unconfined compressive strength (UCS) of the rocks. For all the data, strong correlation coefficients were found between I-s(50), SHR, UCS, and mechanical properties of the aggregates. The regression analysis conducted on the different rocks separately showed that correlations coefficients obtained between the I-s(50), SHR, UCS and mechanical properties of the aggregates were stronger than those of the grouped rocks. The T-test and F-test showed that the derived models were valid. This study has shown that the mechanical properties of the aggregates can be estimated from I-s(50), SHR and USC but the influence of rock type on the relationships should be taken into consideration. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:659 / 667
页数:9
相关论文
共 14 条
[1]  
[Anonymous], B INT ASS ENG GEOL
[2]   Predicting the Los Angeles abrasion loss of rock aggregates from the uniaxial compressive strength [J].
Kahraman, S. ;
Fener, M. .
MATERIALS LETTERS, 2007, 61 (26) :4861-4865
[3]   The effect of rock classes on the relation between uniaxial compressive strength and point load index [J].
Kahraman, S. ;
Gunaydin, O. .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2009, 68 (03) :345-353
[4]   Empirical methods to predict the abrasion resistance of rock aggregates [J].
Kahraman, Sair ;
Gunaydin, Osman .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2007, 66 (04) :449-455
[5]   INFLUENCE OF GEOLOGICAL FACTORS ON ABRASION AND SOUNDNESS CHARACTERISTICS OF AGGREGATES [J].
KAZI, A ;
ALMANSOUR, ZR .
ENGINEERING GEOLOGY, 1980, 15 (3-4) :195-203
[6]  
Lees G., 1975, Quarterly Journal of Engineering Geology, V8, P193, DOI [10.1144/gsl.qjeg.1975.008.03.03, DOI 10.1144/GSL.QJEG.1975.008.03.03]
[7]  
Nigerian Geological Survey Agency, 2008, GEOL MAP EK STAT SW
[8]   Assessment of empirical equations for the compression index of fine-grained soils in Missouri [J].
Onyejekwe, Site ;
Kang, Xin ;
Ge, Louis .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2015, 74 (03) :705-716
[9]   Relationships Between Abrasion/Degradation of Aggregate Evaluated from Various Tests and the Effect of Saturation [J].
Palassi, Massoud ;
Danesh, Akbar .
ROCK MECHANICS AND ROCK ENGINEERING, 2016, 49 (07) :2937-2943
[10]  
Ptikryl R., 2001, INT J ROCK MECH MIN, V38, P671