Journal Information
Research Areas
Publication Ethics and Malpractice Statement
To Scholarlink Resource Center
Guidelines for Authors
For Authors
Instructions to Authors
Copyright forms
Submit Manuscript
Call for papers
Guidelines for Reviewers
For Reviewers
Review Forms
Contacts and Support
Support and Contact
List of Issues
Indexing

 

Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: Determination and Modelling of Effects of Variation in Fine Aggregate Size on Concrete Properties
by S. O. Osuji and I. Inerhunwa

Abstract:
The properties of concrete are likely to change with changes in its composition. This paper examines the effect of variation in the sizes of fine aggregate on the workability, pulse velocity and compressive strength of concrete. To do this, fine aggregate (quarry dust) was sieved into three classes: Class 1: 2.00mm < d < 4.75mm, Class 2: 425um < d < 2.00mm and Class 3: 75um < d < 425um. Workability, Ultrasonic Pulse Velocity (UPV) and compressive strength tests were carried out on concrete cubes made from the three classes of fine aggregate for two mix ratios (1:2:4 and 1:3:6). Results showed that workability reduces with reduction in the size of fine aggregate and that concrete made from Class 2 fine aggregate gave the highest value of strength and pulse velocity while concrete made from Class 1 fine aggregate gave the least values for both mix ratios. As properties of concrete changes with age, linear models were developed for the prediction of the strength of concrete from age and pulse velocity and vice versa for each class of fine aggregate and mix ratio. The linear models showed linear relationships between age, pulse velocity and compressive strength of concrete with strength and pulse velocity increasing with age and the models were found to be appropriate, accurate and consistent. The models are useful and can be utilized in obtaining and analyzing the properties of concrete for the different classes of fine aggregate.
Keywords: fine aggregate, workability, ultrasonic pulse velocity, compressive strength, linear model
Download full paper

ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010