Data-driven strategy for evaluating the response of eco-friendly concrete at elevated temperatures for fire resistance construction

Data-driven strategy for evaluating the response of eco-friendly concrete at elevated temperatures for fire resistance construction

Concrete strength degrades drastically due to high temperatures (HT) destroying its components. Using supplementary cementitious materials (SCMs) in concrete and achieving the necessary compressive strength (CS) at HT is challenging and time-consuming. However, supervised machine learning (ML) appro...

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Bibliographic Details
Main Authors: Fahad Alsharari, Bawar Iftikhar, Md Alhaz Uddin, Ahmed Farouk Deifalla
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
High temperature
Compressive strength
Supplementary cementitious composite
Supervised machine learning
Sensitivity analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023007223

Internet

http://www.sciencedirect.com/science/article/pii/S2590123023007223

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