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Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications

Base resistance of super-large and long piles in soft soil: performance of  artificial neural network model and field implications

GWO-CFNN framework for the prediction of the compression index CC of clay

Bearing capacity of homogenous soil predicted by different numerical

Processes, Free Full-Text

Applied Sciences, Free Full-Text

PDF] Empirical pile design based on cone penetrometer data: an explanation for the reduction of unit base resistance between CPTs and piles

Machine learning-based soil–structure interaction analysis of laterally loaded piles through physics-informed neural networks

Numerical analysis of pile group, piled raft, and footing using finite element software PLAXIS 2D and GEO5

Comparison between Predicted and Observed position of max. deflection δ

Frontiers Application of Artificial Neural Networks for Predicting the Stability of Rectangular Tunnels in Hoek–Brown Rock Masses

Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications