MATEC Web Conf.
Volume 101, 2017Sriwijaya International Conference on Engineering, Science and Technology (SICEST 2016)
|Number of page(s)||6|
|Published online||09 March 2017|
Regression models for compressive strength of concrete under different curing conditions
1 Department of Civil Engineering. Obafemi Awolowo University, 220005 Ile-Ife, Nigeria
2 Faculty of Engineering, University of Sriwijaya, 30662 Palembang, Indonesia
* Corresponding author: email@example.com
Effect of different curing methods on the compressive strength of concrete was investigated. A total of 69 concrete cubes of size 150 mm was cast and cured under five different conditions (immersion in water, sprinkling with water, moist sand covering, polythene covering and air curing) for 3, 7, 14 and 28 days. At the expiration of curing ages, compressive strength was determined and regression analysis was conducted. The concrete cured with these techniques was equally subjected to water penetration test. The results showed that Polythene covering method produced concrete specimen with the highest compressive strength of 23.41 Nmm−2 followed by Immersion in water (22.86 Nmm−2). Regression models formulated for each condition indicated that the strength development was dependent on methods of curing. From the results, it was concluded that the compressive strength of concrete depends on the medium in which they were cured and there exist a positive correlation between the compressive strength of concrete and curing age.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.