Flexural Strength Prediction of Steel Fiber-Reinforced Concrete Using Artificial Intelligence

Flexural Strength Prediction of Steel Fiber-Reinforced Concrete Using Artificial Intelligence

Research has focused on creating new methodologies such as supervised machine learning algorithms that can easily calculate the mechanical properties of fiber-reinforced concrete. This research aims to forecast the flexural strength (FS) of steel fiber-reinforced concrete (SFRC) using computational...

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Bibliographic Details
Main Authors: Dong Zheng, Rongxing Wu, Muhammad Sufian, Nabil Ben Kahla, Miniar Atig, Ahmed Farouk Deifalla, Oussama Accouche, Marc Azab
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Materials
Subjects:
concrete
steel fiber
steel fiber-reinforced concrete
flexural strength
mechanical characteristics
construction materials
Online Access:https://www.mdpi.com/1996-1944/15/15/5194

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https://www.mdpi.com/1996-1944/15/15/5194

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