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Yongqin Li
Researcher at Chongqing University
Publications - 14
Citations - 921
Yongqin Li is an academic researcher from Chongqing University. The author has contributed to research in topics: Pile & Anisotropy. The author has an hindex of 8, co-authored 12 publications receiving 267 citations.
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Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
TL;DR: Novel data-driven extreme gradient boosting (XGBoost) and random forest ensemble learning methods are applied for capturing the relationships between the USS and various basic soil parameters to predict undrained shear strength of soft clays.
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Application of deep learning algorithms in geotechnical engineering: a short critical review
TL;DR: This study presented the state of practice of DL in geotechnical engineering, and depicted the statistical trend of the published papers, as well as describing four major algorithms, including feedforward neural, recurrent neural network, convolutional neural network and generative adversarial network.
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Assessment of pile drivability using random forest regression and multivariate adaptive regression splines
TL;DR: A practical approach to assess pile drivability in relation to the prediction of Maximum compressive stresses and Blow per foot using a series of machine learning algorithms is presented.
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Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques
Wengang Zhang,Tirai pembatas sholat,Yongqin Li,Chongzhi Wu,Hongrui Li,A.T.C. Goh,Hanlong Liu +6 more
TL;DR: In this paper, an anisotropic soil model developed by the Norwegian Geotechnical Institute (NGI) based on the Active-Direct shear-Passive concept (ADP) was adopted to conduct finite element (FE) analyses.
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Numerical study of the performance of jet grout piles for braced excavations in soft clay
TL;DR: In this article, the effects of jet grout piles on wall deflections and strut forces for deep excavations were investigated, and numerical analyses indicated that increasing the number of piles and the areal extent of reinforcement area, as well as decreasing the pile spacing, can significantly reduce the wall deflection and strut force for excavation in weak clay.