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Data-Driven Prediction and Normalization Of Mechanical Properties In Jute Fiber–Reinforced Concrete Cover

Data-Driven Prediction and Normalization Of Mechanical Properties In Jute Fiber–Reinforced Concrete

Open Access
|Feb 2026

Abstract

Using fiber in the concrete is one of the methods to improve its capacity for the load resisting especially for the bending and tensile loading, but this process has two challenges, the first one is the energy usage, the waste gas emission which produced in these fiber’s industry, while the second challenge is the increase in the solid waste materials in the land which is include natural plant fiber. The usage of natural fiber instead of these industrial fibers will have a double advantage. This article deals with investigating the effect of using jute fiber on the properties of concrete, also proposing statistical models to predict the compressive strength of concrete by collecting the experimental data from previous experimental work. By using three different models, including the quadrant support vector machine, Integration Linear, and squared exponential Gaussian, and using 80 experimental data points. Based on the obtained results between the proposed models to predict the compressive strength of concrete, SVM provides higher accuracy and efficiency compared to the other proposed models, when the value of the coefficient of determination is higher than the IL, and SEG by 10.98%, and 1.09% respectively.

DOI: https://doi.org/10.30540/sae-2025-012 | Journal eISSN: 2657-6902 | Journal ISSN: 2081-1500
Language: English
Page range: 113 - 126
Published on: Feb 18, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Soran Abdrahman Ahmad, Rozhnw Omer Mustafa, Diyar Arif Saeed, Asa Omed Nadir, Hersh Hama Amin F Mahmood, published by Kielce University of Technology
This work is licensed under the Creative Commons Attribution 3.0 License.