Buildability Modeling of 3D Printed Concrete Including Printing-Deviation (2023-08)¶

A Stochastic Analysis

10.1016/j.conbuildmat.2023.133076

Zhu Jinggao, Ren Xiaodan, Cervera Miguel
Journal Article - Construction and Building Materials, Vol. 403, No. 133076

Abstract

Owing to the formwork-free construction, 3D concrete printing shows great prospects in construction industry. However, this manner also results in non-verified geometric precision, which is prone to generate uncontrolled printing deviations between the actual and designed print paths. To include this in buildability modeling, a process-dependent stochastic method is proposed based on the characteristics of the 3D printing process. Then, a stochastic analysis procedure is developed by Monte Carlo simulation and verified by the 3D-printed concrete (3DPC) cylinder test. Finally, the verified method is applied to the stochastic analysis of 3DPC buildability modeling. By studying two structural shapes and four correlation times, a clear understanding of the influence of printing deviation as well as guidances for the design of 3D printing process are obtained.

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32 References

13 Citations

BibTeX

@article{zhu_ren_cerv.2023.BMo3PCIPD,
  author            = "Jinggao Zhu and Xiaodan Ren and Miguel Cervera",
  title             = "Buildability Modeling of 3D Printed Concrete Including Printing-Deviation: A Stochastic Analysis",
  doi               = "10.1016/j.conbuildmat.2023.133076",
  year              = "2023",
  journal           = "Construction and Building Materials",
  volume            = "403",
  pages             = "133076",
}

Formatted Citation

IEEE

J. Zhu, X. Ren and M. Cervera, “Buildability Modeling of 3D Printed Concrete Including Printing-Deviation: A Stochastic Analysis”, Construction and Building Materials, vol. 403, p. 133076, 2023, doi: 10.1016/j.conbuildmat.2023.133076.

CMOS

Zhu, Jinggao, Xiaodan Ren, and Miguel Cervera. “Buildability Modeling of 3D Printed Concrete Including Printing-Deviation: A Stochastic Analysis”. Construction and Building Materials 403 (2023): 133076. https://doi.org/10.1016/j.conbuildmat.2023.133076.