Issue |
E3S Web Conf.
Volume 309, 2021
3rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)
|
|
---|---|---|
Article Number | 01056 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202130901056 | |
Published online | 07 October 2021 |
Effect of packing factor and fine aggregate/total aggregate ratio on the development of self-compacting concrete
1 M. Tech (Structural Engineering), Department of Civil Engineering, GRIET, Hyderabad, India.
2 Professor of Civil Engineering, GRIET, Hyderabad, India.
3 Professor of Civil Engineering, VJIT, Hyderabad, India.
4 Assistant Professor of Civil Engineering, JBIET, Hyderabad, India.
* Corresponding author: svssankeerth123@gmail.com
This paper presents the effect of packing factor and fine aggregate/total aggregate ratio on the performance of the self-compacting concrete (SCC). A higher PF value would imply a greater amount of the coarse and fine aggregates used, thus, decreasing the content of binders in SCC. In this paper M30 grade plain SCC mixes are developed with the different combinations of packing factors (PF) (varying from1.12 to 1.18) and fine to total aggregate ratios (s/a) (0.50 to 0.57) and found that the PF & s/a combinations of 1.12 & 0.53 and 1.14 & 0.57 are found to be optimum as these combinations gave maximum compressive strengths which can be attributed to high achievement of particle packing densities in SCC mixes. As PF increases powder content decreases and aggregate content increases requiring more paste to make the SCC mix workable. Less value PF will have high particle packing density yielding more strength due to improved microstructure of SCC mixes. At PF & s/a combinations of 1.12 & 0.53 and 1.14 & 0.57, the workability of SCC mixes is superior because of high paste volume and less aggregate content.
© The Authors, published by EDP Sciences, 2021
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.