E3S Web Conf.
Volume 309, 20213rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)
|Number of page(s)||6|
|Published online||07 October 2021|
Development of hybrid fibre reinforced self-compacting concrete as per Nan Su criteria
1 Research Scholar of Civil Engineering, V.F.S.T.R, Guntur, Andhra Pradesh, India.
2 Department of Civil Engineering, V.F.S.T.R, Guntur, Andhra Pradesh, India
3 Department of Civil Engineering, GRIET, Hyderabad, India.
* Corresponding author: firstname.lastname@example.org
This paper studies the development of hybrid fibre reinforced self-compacting concrete as per Nan Su criteria. Results predicted that various packing factors adopted in the study are 1.12, 1.14, 1.16 and 1.18. Fine aggregate /Total aggregate ratios (s/a ratio) adopted in the study are 0.5, 0.53 and 0.57. The optimum combinations of packing factor and s/a ratio are found to be 1.12 & 0.53 and 1.14 & 0.57 for M30 grade SCC mixes because these optimum PF and s/a ratio combination gives comparatively better particle packing density in SCC mixes. Better particle packing density enhances the microstructure of SCC mix subsequently more strength and durability can be achieved. 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. Compressive, split-tensile and flexural of M30 grade SCC mixes made with optimum combinations of packing factor and s/a ratios are found to be high.
© 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.