Issue |
MATEC Web Conf.
Volume 97, 2017
Engineering Technology International Conference 2016 (ETIC 2016)
|
|
---|---|---|
Article Number | 01022 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/matecconf/20179701022 | |
Published online | 01 February 2017 |
Review on Characterization and Mechanical Performance of Self-cleaning Concrete
1 Centre of Excellence Geopolymer and Green Technology (CEGeoGTech), School of Materials Engineering, Universiti Malaysia Perlis (UniMAP), 01007, P. O Box 77, D/A Pejabat Pos Besar, Kangar, Perlis, Malaysia
2 Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), P. O Box 77, D/A Pejabat Pos Besar, Kangar, Perlis 01000, Malaysia
3 Gheorghe Asachi Technical University, Faculty of Materials Science and Engineering, D. 61A Mangeron Str., 700050, lasi, Romania
* Corresponding author: sitinorsaffirah@yahoo.com
Self-cleaning concrete is an effective alternative to provide cleaner environment which contribute to sustainability and towards a green environment. It is in accordance with the requirements of environmental issues on huge energy consumption and air pollution from carbon dioxide (CO2) emissions. Photocatalyst in self-cleaning concrete accelerates the decomposition of organic particulates, hence pollution could be reduced through photocatalytic degradation of gaseous pollutants. Mechanical performances of self-cleaning concrete were improved by adding photocatalytic materials. Self cleaning abilities were evaluated in the photocatalytic activity test under UV light and photocatalytic degradation of gaseous pollutant was measured by depollution test. This review aims to give an overview about the characteristics of photocatalytic materials and mechanical performances of self-cleaning concrete.
© 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.