Aug 2026· Engineering, Technology & Applied Science Research· 0 citations· 13 references
Abstract
This study investigates the performance of sustainable concrete using Over-Burnt Brick Waste (OBBW) as a partial replacement for natural Coarse Aggregates (CA), with Class C fly ash (F) as a supplementary cementitious material. Concrete mixtures were prepared with OBBW replacement levels ranging from 5% to 55% at a constant 10% F content. Mechanical properties were evaluated experimentally, and statistical analysis and machine learning models were used to assess the relationships among the mix design parameters. The experimental results indicate that OBBW replacement levels of up to 50% improved mechanical performance. Specifically, the optimized concrete mix achieved a Compressive Strength (CS) of 34.65 MPa, representing a 22.7% increase over the control mix (28.24 MPa). Furthermore, flexural strength increased by 4.7%, from 3.4 MPa to 3.56 MPa. The findings demonstrate that the use of OBBW and fly ash enables the production of high-performance, eco-friendly concrete.
The construction industry is increasingly adopting sustainable materials to reduce environmental impacts while maintaining structural performance. This study investigates the combined use of sugarcane bagasse ash (BA) and polyethylene terephthalate (PET) aggregates in M30-grade concrete. BA replaced cement at 0%–15%, w...
Sandeep Sathe, A. Biswas, Shubhangi Shekokar et al.· Proceedings of the Instituti...· 0 citations
Given the environmental challenges posed by the production and disposal of industrial waste, reusing such materials in the construction industry, especially for the development of sustainable concrete, offers an eco-friendly solution and cost reduction. This study investigates the use of waste foundry sand (WFS) as a p...
Amir Khosrow Ghamari, Ali Seyedkazemi, Saba Jahangir et al.· Scientific Reports· 0 citations
The sustainable use of agricultural and industrial waste materials in concrete requires quantified experimental evidence and interpretable prediction tools for engineering decision-making. This study evaluated concrete containing sugar, cow bone ash, groundnut shell ash and limestone powder and developed interpretable...
H. Ozioko, E. E. Eze, Ekunie Augustine Chidera· Discover Civil Engineering· 0 citations
Artificial Neural Networks (ANNs) have been used to predict the compressive strength of sustainable concrete as an alternative to large laboratory experiments․ Sustainable concrete mixes were designed by replacing natural coarse aggregate (NCA) with recycled coarse aggregate (RCA) at varying percentages ranging from 0%...
Aanand Shah, B. Dhungana, H. V. Moulya· International Journal of Lat...· 0 citations
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