Modelling of 3D concrete printing based on computational fluid dynamics

Comminal, Raphaël; Silva, Wilson Ricardo Leal da; Andersen, Tine; Stang, Henrik; Spangenberg, Jon

doi:10.1016/j.cemconres.2020.106256

Cited by 120 publications

(51 citation statements)

References 29 publications

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“…In addition, oscillatory tests were performed to determine the storage modulus 𝐺 200 kPa in the material's linear visco-elastic region, which was used as the linear-elastic shear modulus of the unyielded material. For detailed information on the material, mixing procedure, and characterization protocol, please refer to [13].…”

Section: Experiments and Simulationmentioning

confidence: 99%

“…1b. The digitalization of the cross-sections was obtained by a custom image processing script outlined in [13].…”

Section: Experiments and Simulationmentioning

confidence: 99%

“…The boundary condition on the nozzle and substrate was a no-slip condition, and the model exploited the symmetry of the problem to reduce the computational effort. The mortar was simulated with the elasto-visco-plastic material model described in [13]. The simulated rheological properties were equal to the values determined experimentally, with the only exception that the linear-elastic shear modulus was set at 100 kPa instead 200 kPa to mitigate numerical instabilities arising from the unyielded part of the material.…”

Section: Experiments and Simulationmentioning

confidence: 99%

“…Reinold et al [10,11] carried out particle finite element simulations of the fresh cementitious material during 3DCP. Recently, Comminal et al [12,13] compared the cross-sectional shape of single layer 3DCP experiments with predictions from a computational fluid dynamics (CFD) model simulating the process -this was an attempt to understand the influence of 3DCP processing parameters on the layer geometry. The latter study showed a good agreement between the numerical and experimental results when applying an elasto-visco-plastic material model in the CFD model.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of multi-layer 3D concrete printing

Spangenberg

Silva²,

Comminal³

et al. 2021

RILEM Tech Lett

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This paper presents a computational fluid dynamics model fit for multi-layer 3D Concrete Printing. The numerical model utilizes an elasto-visco-plastic constitutive model to mimic the flow behaviour of the cementitious material. To validate the model, simulation data is compared to experimental data from 3D printed walls. The obtained results show that the numerical model can reproduce the experimental results with high accuracy and quantify the extrusion load imposed upon the layers. Such load is found to exceed the material’s yields stress in certain regions of previously printed layers, leading to layer deformation/flow. The developed and validated numerical model can assist in identifying optimal printing strategies, reducing the number of costly experimental print failures and human-process interaction. By doing so, the findings of this paper helps 3D Concrete Printing move a step closer to a truly digital fabrication process.

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Section: Experiments and Simulationmentioning

confidence: 99%

“…1b. The digitalization of the cross-sections was obtained by a custom image processing script outlined in [13].…”

Section: Experiments and Simulationmentioning

confidence: 99%

Section: Experiments and Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Numerical simulation of multi-layer 3D concrete printing

Spangenberg

Silva²,

Comminal³

et al. 2021

RILEM Tech Lett

Self Cite

View full text Add to dashboard Cite

show abstract

“…The semi‐solid characteristics such as apparent viscosity and dynamic yield stress determine the pumpability. Thus, the rheology theory or fluid mechanics approaches such as computational fluid dynamics are usually adopted to quantify the pumpability (Jeong et al., 2019; Khan et al., 2020; Perrot et al., 2016; Roussel, 2018; Wangler et al., 2016) or predict the cross‐sectional shape of 3D printed segments (Comminal et al., 2020). On the other hand, solid mechanics approaches and rheology theory are adopted for buildability quantification as described in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

A discrete lattice model for assessment of buildability performance of 3D‐printed concrete

Chang

Chen

et al. 2021

Computer aided Civil Eng

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In this work, the lattice model is applied to study the printing process and quantify the buildability (i.e., the maximum height that can be printed) for 3D concrete printing (3DCP). The model simulates structural failure by incorporating an element birth technique, time‐dependent stiffness and strength, printing velocity, non‐uniform gravitational load, localized damage, and spatial variation of the printed object. The model can reproduce the plastic collapse failure modes reported in the literature. In this research, three main contributions for 3DCP modeling work can be found. A new failure criterion is proposed and adopted to improve the estimation of critical printing height; the element birth technique is utilized to mimic the continuous printing process and study the impact of non‐uniform gravitational load; variability of a printed structure is modeled through the inclusion of disorder during mesh generation and Gaussian distributions of material properties. Using this model, parametric analyses on non‐uniform gravitational load and material variation are conducted to assess their impact on the failure–deformation response and the critical printing height. Finally, the model is validated by comparison with two 3D printing experiments from the literature. The proposed lattice model can reproduce the correct failure‐deformation modes of two types of structures commonly used for buildability quantification: A 3D‐printed hollow cylinder and a square wall layout. Lattice modeling of the square structure yields a relative difference of around 10% with the experimental printing height. For the cylinder structure, the predicted radial deformation and corresponding height show good agreement with the experimental data; the model yields a 41.38% overprediction of the total number of printing layers, compared with the experimental data. Possible reasons for the quantitative discrepancy are discussed.

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