A neural network-based model for assessing 3D printable concrete performance in robotic fabrication

A neural network-based model for assessing 3D printable concrete performance in robotic fabrication

3D concrete printing has advanced rapidly in the construction industry, offering benefits such as faster construction, reduced labor demands, and minimized material waste. Nevertheless, the mixture design process for 3D printable concrete remains largely dependent on trial-and-error methods, which a...

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Bibliographic Details
Main Authors: Weijiu Cui, Dongsheng Ji, Liang Shen, Shiyong Su, Xinyu Shi, Jidong Liu, Zirui Bai, Yubo Sun, Jian Gong, Yaxin Tao
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
3D concrete printing
Back propagation neural network
Mixture design optimization
Printability
Extrudability
buildability
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025020420
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http://www.sciencedirect.com/science/article/pii/S2590123025020420

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