Robust prediction of workability properties for 3D printing with steel slag aggregate using bayesian regularization and evolution algorithm

This study addresses the growing interest in utilizing steel slag as a sustainable alternative to river sand in additive manufacturing of concrete, driven by the increasing scarcity of natural resources. The rheological properties of fresh material significantly impact the quality of 3D-printed fila...

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Veröffentlicht in:	Construction & building materials Jg. 431; S. 136470
Hauptverfasser:	Van Tran, Mien, Ly, Duy-Khuong, Nguyen, Tan, Tran, Nhi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 14.06.2024
Schlagworte:	3D concrete printing Additive Manufacturing Feature analysis Soft computing approach Steel slag aggregate Workability properties Steel slag aggregate 3D concrete printing Additive Manufacturing Workability properties Feature analysis Soft computing approach
ISSN:	0950-0618
Online-Zugang:	Volltext
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