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This paper presents a novel deep learning model based on the transformerarchitecture to predict the load-deformation behavior of large bored piles inBangkok subsoil. The model encodes the soil profile and pile features astokenization input, and generates the load-deformation curve as output. Themodel also incorporates the previous sequential data of load-deformation curveinto the decoder to improve the prediction accuracy. The model alsoincorporates the previous sequential data of load-deformation curve into thedecoder. The model shows a satisfactory accuracy and generalization ability forthe load-deformation curve prediction, with a mean absolute error of 5.72% forthe test data. The model could also be used for parametric analysis and designoptimization of piles under different soil and pile conditions, pile crosssection, pile length and type of pile.

Transformer-Based Deep Learning Model for Bored Pile Load-Deformation Prediction in Bangkok Subsoil