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Machine learning models with SHAP for performance prediction of eco-friendly fiber reinforced mortars with glass waste.

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第一作者： Samra,Rahmani

第一单位： LMSE laboratory, Department of Civil Engineering, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, El-Anasser, 34030, Algeria.

作者： Samra,Rahmani ^[1] ; Ahmed Abderraouf,Belkadi ^[1] ; Yacine,Achour ^[1] ; Eyad,Alsuhaibani ^[2] ; Amirouche,Berkouche ^[3] ; Abdellah,Douadi ^[4] ; Adrian,Chajec ^[5]

作者单位： LMSE laboratory, Department of Civil Engineering, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, El-Anasser, 34030, Algeria. ^[1] Department of Civil Engineering, College of Engineering, Qassim University, Buraidah, 52571, Saudi Arabia. e.alsuhaibani@qu.edu.sa. ^[2] LMSE laboratory, Department of Civil Engineering, University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj, El-Anasser, 34030, Algeria.;CY Cergy Paris Université, L2MGC, Cergy F-95000, France. ^[3] Department of Civil Engineering Civil Engineering Research Laboratory of Sétif (LRGCS) , 3 Ferhat Abbas University of Sétif 1, Sétif, 19000, Algeria.;Emergent Materials Research Unit (EMRU), Setif 1 University-Ferhat Abbas, Sétif, 19000, Algeria. ^[4] Department of Materials Engineering and Construction Processes, Wroclaw University of Science and Technology, Wroclaw, 50-370, Poland. ^[5]

关键词 Bagging methods Boosting algorithms Fiber reinforced mortar Glass powder Stacking models

DOI 10.1038/s41598-025-24781-3

PMID 41266511

发布时间 2025-11-23

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