ArticleScientific reports2024
Optimization of cassava peel ash concrete using central composite design method.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Experimental and machine learning-based analysis of red mud influence on recycled aggregate concrete properties.Scientific reports · 2025Article
- Sustainable storage of Cocoyam Cormels using Ash lined clay pits for post harvest preservation.Scientific reports · 2025Article
- Development of sustainable sandcrete bricks using industrial and agricultural waste.Scientific reports · 2025Article
- Effect of wall design on heat loss and drying kinetics in a solar greenhouse for yellow pepper.Scientific reports · 2025Article
- Impact of plastic waste fiber and treated construction demolition waste on the durability and sustainability of concrete.Scientific reports · 2024Article
- Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete.Scientific reports · 2024Article
- Mechanical properties optimization and cost analysis of agricultural waste as an alternative in brick production.Scientific reports · 2024Article
- Investigating the potential of waste glass in paver block production using RSM.Scientific reports · 2024Article
- Proposed simplified methodological approach for designing geopolymer concrete mixtures.Scientific reports · 2024Article
- Spatial variability of heavy metals concentrations in soil of auto-mechanic workshop clusters in Nsukka, Nigeria.Scientific reports · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cassava peel ash (CPA) is an abundant agricultural byproduct that has shown promise as an additional cementitious material in concrete manufacturing. This research study aims to optimize the incorporation of CPA in concrete blends using the central composite design (CCD) methodology to determine the most effective combination of ingredients for maximizing concrete performance. The investigation involves a physicochemical analysis of CPA to assess its pozzolanic characteristics. Laboratory experiments are then conducted to assess the compressive and flexural strengths of concrete mixtures formulated with varying proportions of CPA, cement, and aggregates. The results show that a mix ratio of 0.2:0.0875:0.3625:0.4625 for cement, CPA, fine, and coarse aggregates, respectively, yields a maximum compressive strength of 28.51 MPa. Additionally, a maximum flexural strength of 10.36 MPa is achieved with a mix ratio of 0.2:0.0875:0.3625:0.525. The experimental data were used to develop quadratic predictive models, followed by statistical analyses. The culmination of the research resulted in the identification of an optimal concrete blend that significantly enhances both compressive and flexural strength. To ensure the reliability of the model, rigorous validation was conducted using student's t-test, revealing a strong correlation between laboratory findings and simulated values, with computed p-values of 0.9987 and 0.9912 for compressive and flexural strength responses, respectively. This study underscores the potential for enhancing concrete properties and reducing waste through the effective utilization of CPA in the construction sector.
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