Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary cementitious materials

Ala’a R. Al-Shamasneh; Arsalan Mahmoodzadeh; Manish Kewalramani; Abdulaziz Alghamdi; Jasim Alnahas; Mohammed Sulaiman; Nejib Ghazouani; Ibrahim Albaijan

doi:10.1038/s41598-025-19741-w

Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary cementitious materials

A Ala’a R. Al-Shamasneh A Arsalan Mahmoodzadeh M Manish Kewalramani A Abdulaziz Alghamdi J Jasim Alnahas M Mohammed Sulaiman N Nejib Ghazouani I Ibrahim Albaijan

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published October 14, 2025

DOI 10.1038/s41598-025-19741-w

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

A

Ala’a R. Al-Shamasneh

A

Arsalan Mahmoodzadeh

M

Manish Kewalramani

A

Abdulaziz Alghamdi

J

Jasim Alnahas

M

Mohammed Sulaiman

N

Nejib Ghazouani

I

Ibrahim Albaijan

Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary cementitious materials

Article Details

Journal Info

Authors (8)

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