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Data-Driven Prediction Model for the Compressive Strength of High-Volume Fly Ash Concrete using Machine Learning Algorithms Cover

Data-Driven Prediction Model for the Compressive Strength of High-Volume Fly Ash Concrete using Machine Learning Algorithms

Journal of Applied Engineering Sciences
Volume 15 (2025): Issue 2 (December 2025)
By: S. Venkateswaran,  S. Vishnuvardhan and  Beaula Jasmine Rajamohan  
Open Access
|Dec 2025

Authors

S. Venkateswaran

venkatnathan36@gmail.com

Department of Civil Engineering, Agni College of Technology, Chennai, India

S. Vishnuvardhan

vishnucool901@gmail.com

Department of Civil Engineering, Agni College of Technology, Chennai, India

Beaula Jasmine Rajamohan

beaulagideon@gmail.com

Department of Civil Engineering, Agni College of Technology, Chennai, India
DOI: https://doi.org/10.2478/jaes-2025-0036 | Journal eISSN: 2284-7197
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Language: English
Page range: 303 - 310
Submitted on: Aug 15, 2025
|
Accepted on: Sep 1, 2025
|
Published on: Dec 15, 2025
Published by: University of Oradea, Civil Engineering and Architecture Faculty
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Sustainable Concrete,
High-Volume Fly Ash (HVFA) concrete,
compressive strength,
Machine Learning (ML),
Regression
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Electrical engineering,
Energy engineering,
Geosciences,
Geodesy,
Geosciences, other

© 2025 S. Venkateswaran, S. Vishnuvardhan, Beaula Jasmine Rajamohan, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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