| Issue |
E3S Web of Conf.
Volume 529, 2024
International Conference on Sustainable Goals in Materials, Energy and Environment (ICSMEE’24)
|
|
|---|---|---|
| Article Number | 01028 | |
| Number of page(s) | 11 | |
| Section | Materials | |
| DOI | https://doi.org/10.1051/e3sconf/202452901028 | |
| Published online | 29 May 2024 | |
Experimental investigation on utilization of substitute building materials in concrete using neural networks
1 Sree Vidyanikethan Engineering College, Tirupati, Andra Pradesh, India
2 M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
* Corresponding author: prem02071990@gmail.com
The replacement of cement with sugarcane bagasse ash in concrete is considered due to its rich properties of projecting pozzolanic activity. The availability of aggregates is becoming scarce as a result of the non-renewable characteristic of fine and coarse aggregates. The construction waste end products like demolishing waste also cause the problem of improper disposal. Hence a majority of the construction industries have preferred the usage of construction and demolition (C&D) waste as a replacement for coarse aggregate. Substitution of coarse aggregates by construction and demolition waste and fine aggregates by iron slag ash is considered. The Taguchi method is adopted for the determination of mix combinations. This paper focuses on determining the properties of concrete having pozzolanic properties by replacing the cement with sugarcane bagasse ash (SBA), coarse aggregate with demolished building waste (DBW), and Fine aggregate with iron slag ash (ISA). The experimental investigation proved that SBA, DBW and ISA have a potential sign to be used as an alternative sustainable building material. From the comparative analysis of experimental results with ANN, it is revealed that the concrete show an acceptable prediction of physical and strength properties.
Key words: Sustainability / sugarcane bagasse ash / iron slag / construction and demolished building waste / ANN
© The Authors, published by EDP Sciences, 2024
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.
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