Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning

Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning

This study innovatively presents a machine learning framework utilizing advanced artificial intelligence technologies to predict the autogenous shrinkage behavior of ultra-high-performance concrete (UHPC). It provides an integrated approach encompassing data collection, preprocessing, model training...

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Bibliographic Details
Main Authors: Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Construction Materials
Subjects:
UHPC
Machine learning
The generalized extreme studentized deviate (GESD)
The grid search
2D PDP
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509525000543
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