Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques

Polypropylene fiber-reinforced rubberized concrete (PP-FRC) is emerging as a promising material for sustainable construction due to its improved mechanical behavior and environmental benefits, particularly through the inclusion of recycled crumb rubber and polypropylene fibers. However, estimating i...

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Podrobná bibliografie

Vydáno v:	Case Studies in Construction Materials Ročník 23; s. e05024
Hlavní autoři:	Alawi Al-Naghi, Ahmed A., Aamir, Kinza, Amin, Muhammad Nasir, Iftikhar, Bawar, Mehmood, Kashif, Qadir, Muhammad Tahir
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2025 Elsevier
Témata:	Gene expression programming Multi-expression programming Polypropylene fiber Rubberized concrete Sensitivity analysis SHAP analysis Rubberized concrete Sensitivity analysis Multi-expression programming SHAP analysis Polypropylene fiber Gene expression programming
ISSN:	2214-5095, 2214-5095
On-line přístup:	Získat plný text
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