Inter-Layer Bond Strength Prediction of 3D Printable Concrete Using Artificial Neural Network (2024-12)¶

Experimental and Modeling Study

10.1016/j.istruc.2024.108147

Mousavi Moein, Bengar Habib, Mousavi Fateme, Mahdavinia Pooneh, Bengar Mehdi
Journal Article - Structures, Vol. 71, No. 108147

Abstract

Interlayer bond strength is a key factor in 3D concrete printing (3DCP); therefore, having a reliable prediction model for it is of great importance. Few studies offer models predicting interlayer bond strength. Given the sensitivity of 3DCP properties to material quality and mix design, conducting a comprehensive study with multiple mix designs using ingredients from the same supplier is crucial. This study developed a highly accurate artificial neural network model to predict interlayer bond strength. The model’s input variables, in kg/m³ , included OPC, water, and sand content. Additionally, the water-cement ratio (W/C) and sand-cement ratio (S/C) were used as inputs. The wt% of viscosity-modifying admixture, fibers, and superplasticizer (SP) relative to the cement weight, along with three printing time gaps (min), were also considered as inputs. Sensitivity analysis highlighted wt% of SP, W/C, and printing time gap as key influencers on interlayer bond strength, contributing 18.5 %, 15 %, and 14.5 %, respectively.

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35 References

3 Citations

BibTeX

@article{mous_beng_mous_mahd.2025.ILBSPo3PCUANN,
  author            = "Moein Mousavi and Habib Akbarzadeh Bengar and Fateme Mousavi and Pooneh Mahdavinia and Mehdi Akbari Bengar",
  title             = "Inter-Layer Bond Strength Prediction of 3D Printable Concrete Using Artificial Neural Network: Experimental and Modeling Study",
  doi               = "10.1016/j.istruc.2024.108147",
  year              = "2025",
  journal           = "Structures",
  volume            = "71",
  pages             = "108147",
}

Formatted Citation

IEEE

M. Mousavi, H. A. Bengar, F. Mousavi, P. Mahdavinia and M. A. Bengar, “Inter-Layer Bond Strength Prediction of 3D Printable Concrete Using Artificial Neural Network: Experimental and Modeling Study”, Structures, vol. 71, p. 108147, 2025, doi: 10.1016/j.istruc.2024.108147.

CMOS

Mousavi, Moein, Habib Akbarzadeh Bengar, Fateme Mousavi, Pooneh Mahdavinia, and Mehdi Akbari Bengar. “Inter-Layer Bond Strength Prediction of 3D Printable Concrete Using Artificial Neural Network: Experimental and Modeling Study”. Structures 71 (2025): 108147. https://doi.org/10.1016/j.istruc.2024.108147.