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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Main Authors: | Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-07-01
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Series: | Case Studies in Construction Materials |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525000543 |
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