Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials

RAJAT PANDEY; TRIPURARI PANDEY; ER. GULZAR AHMAD; ER. SHREYANCE SHARMA; ER. BHARAT PHULWARI

Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials

June 2025

Vol-11, Issue-3

Paper ID: 26997

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Construction Engineering

Keywords

Machine Learning Cement Hydration Supplementary Cementitious Materials Fly Ash GGBFS Concrete Strength Prediction Heat of Hydration Sustainable Construction Regression Model.

Abstract

Abstract This study explores the integration of machine learning (ML) techniques in predicting the hydration behavior and mechanical performance of concrete containing supplementary cementitious materials (SCMs), specifically fly ash and ground granulated blast furnace slag (GGBFS). Centered on two primary objectives, the research evaluates the compressive strength of concrete using a compressive testing machine (CTM) and develops an ML-based regression model to forecast the heat of hydration. Experimental data collected from 2007 to 2011—including cement composition, water-to-binder ratios, and curing conditions—were used to train and validate the model. Findings indicate that mixes incorporating 10–20% SCMs show slightly reduced early-age strength but achieve long-term strength comparable to conventional mixes, with notable enhancements in workability and durability. The ML model demonstrated high accuracy in predicting hydration trends, with feature importance analysis identifying SCM content and water-to-binder ratio as key influencing factors. These results affirm the potential of ML-driven approaches in optimizing concrete mix design for sustainable and durable infrastructure development.

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Author Information

#	Name	Institute / Affiliation
1	RAJAT PANDEY	BHAGWANT UNIVERSITY, AJMER
2	TRIPURARI PANDEY	BHAGWANT UNIVERSITY, AJMER
3	ER. GULZAR AHMAD	BHAGWANT UNIVERSITY, AJMER
4	ER. SHREYANCE SHARMA	BHAGWANT UNIVERSITY, AJMER
5	ER. BHARAT PHULWARI	BHAGWANT UNIVERSITY, AJMER

How to Cite

Use the following formats to cite this article in your research.

APA Style

PANDEY, RAJAT, PANDEY, TRIPURARI, AHMAD, ER. GULZAR, SHARMA, ER. SHREYANCE, & PHULWARI, ER. BHARAT (2025). Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 4298-4307.

MLA Style

PANDEY, RAJAT, et al. "Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 4298-4307.

IEEE Style

RAJAT PANDEY, TRIPURARI PANDEY, ER. GULZAR AHMAD, ER. SHREYANCE SHARMA, and ER. BHARAT PHULWARI, "Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 4298-4307, 2025.

Vancouver Style

PANDEY RAJAT, PANDEY TRIPURARI, AHMAD ER. GULZAR, SHARMA ER. SHREYANCE, PHULWARI ER. BHARAT. Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):4298-4307.

Harvard Style

PANDEY, RAJAT, PANDEY, TRIPURARI, AHMAD, ER. GULZAR, SHARMA, ER. SHREYANCE, & PHULWARI, ER. BHARAT (2025) 'Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 4298-4307.

Chicago Style

PANDEY, RAJAT, et al. "Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 4298-4307.

Turabian Style

PANDEY, RAJAT, et al. "Predicting Cement Hydration and Mechanical Performance with Machine Learning and Supplementary Cementitious Materials." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 4298-4307.