A New Approach in Construction using Recycled Aggregates Sustainable Materials and Technology Interventions for Improving Comfort Index in Buildings

Abstract

Recycled concrete aggregate has been used to prepare the concrete which minimizes the quantity of natural aggregate. Currently, the majority of construction and demolition waste (CDW) is disposed of in landfills or utilized in low-quality projects like road construction, however, limited research has been carried out in hollow blocks. The main focus of this study is to develop a technique for making rectangular and circular hollow concrete blocks using coal bottom ash and recycled concrete aggregates. The primary objective of this study is to assess the appropriateness and significance of construction demolition byproducts, specifically recycled fine aggregates, recycled coarse aggregates, and industrial waste coal bottom ash, as components of recycled aggregate concrete. These materials are intended to be utilised in the production of building concrete hollow blocks as a substitute for natural aggregates and cement respectively and are tested in the laboratory in accordance with IS10262 (2019) and IS2183 (2005). An empirical quantitative technique is used to investigate the cost-benefit analysis of a 100-square-foot model built with concrete hollow blocks created using recycled aggregate. The study suggests that employing recycled aggregate and coal bottom ash as replacements for conventional materials would result in a minimum cost savings of 17%. The quantity of greenhouse gases produced in CO2 equivalents for concrete production is calculated using the inventory of carbon and energy database. According to research findings, the utilization of recycled aggregates and coal bottom ash reduced carbon dioxide equivalent emissions by 30- 40 percent. It was also confirmed that cement has a major effect on greenhouse gas emission generation throughout the concrete manufacturing phase, regardless of recycled aggregates over virgin aggregates are used. To ascertain the correlation between the decision variables (Material and Method) and the comfort index indicator variables (temperature and humidity), distinct ...