Predicting carbonation depth in fiber-reinforced ultra-high performance concrete (FR-UHPC) using state-of-the-art machine learning techniques

Arsalan Mahmoodzadeh; Raouf Hassan; Nejib Ghazouani; Abdulaziz Alghamdi; Abed Alanazi; Shtwai Alsubai; Abdullah Alqahtani; Sivaprakasam Palani

doi:10.1038/s41598-025-33958-9

Predicting carbonation depth in fiber-reinforced ultra-high performance concrete (FR-UHPC) using state-of-the-art machine learning techniques

A Arsalan Mahmoodzadeh R Raouf Hassan N Nejib Ghazouani A Abdulaziz Alghamdi A Abed Alanazi S Shtwai Alsubai A Abdullah Alqahtani S Sivaprakasam Palani

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published January 06, 2026

DOI 10.1038/s41598-025-33958-9

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

A

Arsalan Mahmoodzadeh

R

Raouf Hassan

N

Nejib Ghazouani

A

Abdulaziz Alghamdi

A

Abed Alanazi

S

Shtwai Alsubai

A

Abdullah Alqahtani

S

Sivaprakasam Palani

Predicting carbonation depth in fiber-reinforced ultra-high performance concrete (FR-UHPC) using state-of-the-art machine learning techniques

Article Details

Journal Info

Authors (8)

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