AI-Based Performance Prediction for 3D Printed Concrete Considering Anisotropy and Steam-Curing Condition (2023-03)¶

10.1016/j.conbuildmat.2023.130898

Yao Xiaofei, Lyu Xin, Sun Junbo, Wang Bolin, Wang Yufei, Yang Min, Wei Yao, Elchalakani Mohamed, Li Danqi, Wang Xiangyu
Journal Article - Construction and Building Materials, Vol. 375

Abstract

The 3D concrete printing (3DCP) technique piques the curiosity of several researchers and enterprises. However, there are few systematic investigations into how curing conditions influence the mechanical performance of 3DCP. This study aims to investigate the effect of various steam curing conditions (temperature rise rate, retention capacity, and sustained temperature) on the performance properties of 3D printing concrete materials at various ages of curing. A thorough test comprises macroscopic and microscopic analysis was conducted. In addition, the best conditions for steam curing are established for compressive characteristics in different directions. Then the anisotropy of mechanical properties of printed materials are studied under various curing settings. This study has contributed to the theoretical research on the influence of steam curing conditions on printed components. In addition, the experimental results were used to create two machine learning (ML) models and the beetle antennae search (BAS) technique was utilised. According to test data, the model is carried out to achieve the mechanical performance prediction of steam curing concrete. To automatically find optimal hyperparameters of ML models, the BAS algorithm was proposed, providing a solid guarantee for the rapid construction of the model.

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4 References

31 Citations

BibTeX

@article{yao_lyu_sun_wang.2023.ABPPf3PCCAaSCC,
  author            = "Xiaofei Yao and Xin Lyu and Junbo Sun and Bolin Wang and Yufei Wang and Min Yang and Yao Wei and Mohamed Elchalakani and Danqi Li and Xiangyu Wang",
  title             = "AI-Based Performance Prediction for 3D Printed Concrete Considering Anisotropy and Steam-Curing Condition",
  doi               = "10.1016/j.conbuildmat.2023.130898",
  year              = "2023",
  journal           = "Construction and Building Materials",
  volume            = "375",
}

Formatted Citation

IEEE

X. Yao, “AI-Based Performance Prediction for 3D Printed Concrete Considering Anisotropy and Steam-Curing Condition”, Construction and Building Materials, vol. 375, 2023, doi: 10.1016/j.conbuildmat.2023.130898.

CMOS

Yao, Xiaofei, Xin Lyu, Junbo Sun, Bolin Wang, Yufei Wang, Min Yang, Yao Wei, Mohamed Elchalakani, Danqi Li, and Xiangyu Wang. “AI-Based Performance Prediction for 3D Printed Concrete Considering Anisotropy and Steam-Curing Condition”. Construction and Building Materials 375 (2023). https://doi.org/10.1016/j.conbuildmat.2023.130898.