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

arXiv:2312.03041v2 Announce Type: replace
Abstract: This paper presents a novel deep learning model based on the transformer architecture to predict the load-deformation behavior of large bored piles in Bangkok subsoil. The model encodes the soil profile and pile features as tokenization input, and generates the load-deformation curve as output. The model also incorporates the previous sequential data of load-deformation curve into the decoder to improve the prediction accuracy. The model also incorporates the previous sequential data of load-deformation curve into …

abstract architecture arxiv bangkok behavior cs.ce cs.lg deep learning features novel paper prediction profile tokenization transformer transformer architecture type