Computational fluid dynamics modelling and experimental analysis of reinforcement bar integration in 3D concrete printing

A challenge for 3D Concrete Printing is to incorporate reinforcement bars without compromising the concrete-rebar bonding. In this paper, a Computational Fluid Dynamics (CFD) model is used to analyze the deposition of concrete around pre-installed rebars. The concrete is modelled with a yield-stress...

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Vydané v:Cement and concrete research Ročník 173; s. 107263
Hlavní autori: Mollah, Md Tusher, Comminal, Raphaël, Leal da Silva, Wilson Ricardo, Šeta, Berin, Spangenberg, Jon
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.11.2023
Predmet:
3D Concrete Printing (3DCP)
Air voids
Computational Fluid Dynamics (CFD)
Multilayer deposition
Reinforcement bars (rebars)
Reinforcement bars (rebars)
Computational Fluid Dynamics (CFD)
3D Concrete Printing (3DCP)
Multilayer deposition
Air voids
ISSN:0008-8846, 1873-3948
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Popis
Shrnutí:A challenge for 3D Concrete Printing is to incorporate reinforcement bars without compromising the concrete-rebar bonding. In this paper, a Computational Fluid Dynamics (CFD) model is used to analyze the deposition of concrete around pre-installed rebars. The concrete is modelled with a yield-stress dependent elasto-viscoplastic constitutive model. The simulated cross-sections of the deposited layers are compared with experiments under different configurations and rebar sizes, and found capable of capturing the air void formation with high accuracy. This proves model robustness and provides a tool for running digital experiments prior to full-scale tests. Additionally, the model is employed to conduct a parametric study under three different rebar-configurations: i) no-rebar; ii) horizontal rebar; and iii) cross-shaped (horizontal and vertical) rebars. The results illustrate that air voids can be eliminated in all investigated cases by changing the toolpath, process parameters, and rebar joint geometry, which emphasizes the great potential of the digital model.
ISSN:0008-8846
1873-3948
DOI:10.1016/j.cemconres.2023.107263