Predicting the crack width of the engineered cementitious materials via standard machine learning algorithms

Predicting the crack width of the engineered cementitious materials via standard machine learning algorithms

This study aims to develop various machine learning (ML) models to investigate the self-healing capacity of engineered cementitious composites (ECC) and to evaluate the effect of input parameters (raw materials and crack width before the healing process) on output parameters (crack width after the h...

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Bibliographic Details
Main Authors: Xiongzhou Yuan, Qingyu Cao, Muhammad Nasir Amin, Ayaz Ahmad, Waqas Ahmad, Fadi Althoey, Ahmed Farouk Deifalla
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Journal of Materials Research and Technology
Subjects:
Self-healing concrete
Crack width
Modeling
Machine learning
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785423009043

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