Advancing Construction 3D Printing with Predictive Interlayer Bonding Strength: A Stacking Model Paradigm
Dinglue Wu,
Qiling Luo,
Wujian Long
et al.
Abstract:To enhance the quality stability of 3D printing concrete, this study introduces a novel machine learning (ML) model based on a stacking strategy for the first time. The model aims to predict the interlayer bonding strength (IBS) of 3D printing concrete. The base models incorporate SVR, KNN, and GPR, and subsequently, these models are stacked to create a robust stacking model. Results from 10-fold cross-validation and statistical performance evaluations reveal that, compared to the base models, the stacking mod… Show more
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