IIARD International Institute of Academic Research and Development

International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 3 2025
DOI: 10.56201/ijemt.vol.11.no3.

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A Computational Model for Concrete Based on Sum of the Mix Ratios, Water-Cement Ratio and the Aggregate Size

John A. T., Robert B. A., Toscanini D. S., and Nelson A

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Abstract

This paper presents a computational model for predicting concrete strength based on coarse sum of mix ratios, aggregate size, and water-cement ratio.Laboratory data from John (2024) were used to establish the model, incorporating three different coarse aggregate sizes (7 mm, 18 mm, and 22 mm), three mix ratios by weight (1:3:6, 1:2:4, and 1:1.5:3), and six water-cement ratios (0.3–0.6). After successfully conducting the Design of Experiment (DOE) on the laboratory data obtained from John (2024), the data was analyzed and used to develop a regression model. A multiple regression model was employed to analyse the relationship between these variables and compressive strength. Analysis of Variance (ANOVA) was conducted to measure the implication of the predictive model and validate the reliability of the laboratory data. The proposed model was verified using laboratory data available in existing literature.The final computational model demonstrated a strong predictive capability, with an R² value of 0.959, indicating that the model explains 95.9% of the variation in compressive strength. The model was implemented using Python, and statistical analysis confirmed its reliability and significance (p < 0.05). The findings highlight the potential of computational modeling to optimize concrete mix designs, reduce reliance on laboratory testing, and promote data-driven approaches in civil engineering.

keywords:

Strength, Model, Regression, Aggregate, Water-cement ratio, Mix

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