Abstract

AbstractIn 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.

Highlights

  • Over the past decades, the construction industry has gradually moved toward a digital manufacturing process.Automated manufacturing technologies such as 3D concrete printing (3DCP) have generated considerable interest in academia and industry, and many groups are currently engaged in 3DCP research worldwide (Buswell et al, 2018; 638 wileyonlinelibrary.com/journal/miceComput Aided Civ Inf. 2021;36:638–655.Chen et al, 2019; Chen, Figueiredo, et al, 2020)

  • The model can reproduce the plastic collapse failure modes reported in the literature

  • 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 nonuniform gravitational load; variability of a printed structure is modeled through the inclusion of disorder during mesh generation and Gaussian distributions of material properties

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Summary

INTRODUCTION

The construction industry has gradually moved toward a digital manufacturing process. In order to further investigate the structural failure in the experiment, an FEM model based on an age-dependent Mohr–Coulomb failure criterion and linear strain-stress relation was developed by Wolfs et al (2018) using ABAQUS This numerical model is able to qualitatively reproduce a correct failure-deformation mode for FIGURE 1 Processing steps and analytical methods for 3D concrete printing (3DCP) in different stages the hollow cylinder structure with plastic collapse failure mode, but the quantitative agreement with experimental data still needs to be improved. This model simulates the printing process through a layer-bylayer extrusion process, and the system state is regarded as having failed as soon as any point in the printed object reaches the material yield strength.

Model overview
Model establishment
Model discretization
Element birth technique
Properties of lattice elements
Non-uniform gravitational load
Element failure criterion
Structural failure criterion
Failure mode
2.10 Model applicability
NUMERICAL ANALYSES
Computational uniaxial compression test
Parametric analyses
Randomly distributed material properties
Cylinder geometry
Square structure
Findings
CONCLUSION
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