Interpretable machine learning approach for predicting the workability and mechanical properties of betel nut husk fiber-reinforced concrete

Interpretable machine learning approach for predicting the workability and mechanical properties of betel nut husk fiber-reinforced concrete

Natural fiber-reinforced concrete (NFRC) is gaining attention for its sustainability, cost-effectiveness, and biodegradability, making it a promising material for construction and repair. Betel nut husk fiber (BNHF) is being incorporated into concrete due to its eco-friendly, nontoxic, and biodegrad...

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Bibliographic Details
Main Authors: Hasan, Mehedi, Hasan, Md Soumike, Hasan, Kamrul, Tushar, Fazlul Hoque, Khan, Majid, Putra Jaya, Ramadhansyah
Format: Article
Language:English
Published: Institution of Structural Engineers 2025
Subjects:
TA Engineering (General). Civil engineering (General)
TH Building construction
Online Access:https://umpir.ump.edu.my/id/eprint/45610/

Internet

https://umpir.ump.edu.my/id/eprint/45610/

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