Volume 17, Issue 4 | Acta Geotechnica

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Volume 17, Issue 4

April 2022

Special Issue: Machine Learning in Geotechnics

Issue Editors:

Wengang Zhang,
Zhongqiang Liu

31 articles in this issue

Editorial for machine learning in geotechnics
Wengang Zhang
Zhongqiang Liu
Editorial 11 April 2022 Pages: 1017 - 1017
Intelligent assistant driving method for tunnel boring machine based on big data
Dong Guo
Jinhui Li
Zuyu Chen
Review Paper 16 August 2021 Pages: 1019 - 1030
Deep learning for efficient stochastic analysis with spatial variability
Xuzhen He
Fang Wang
Daichao Sheng
Research Paper 30 August 2021 Pages: 1031 - 1051
An extended TODIM-based model for evaluating risks of excavation system
Song-Shun Lin
Shui-Long Shen
Annan Zhou
Research Paper 27 July 2021 Pages: 1053 - 1069
Time-dependent reliability analysis of unsaturated slopes under rapid drawdown with intelligent surrogate models
Carlotta Guardiani
Enrico Soranzo
Wei Wu
Research Paper Open access 19 October 2021 Pages: 1071 - 1096
Characterization of particle orientation of kaolinite samples using the deep learning-based technique
Jun Kang Chow
Zhaofeng Li
Yu-Hsing Wang
Research Paper 22 July 2021 Pages: 1097 - 1110
Predicting the chemical and mechanical properties of gypseous soils using different simulation technics
Ahmed Mohammed
Rizgar Ali Hummadi
Yousif Ismael Mawlood
Research Paper 30 July 2021 Pages: 1111 - 1127
Hybrid machine learning model with random field and limited CPT data to quantify horizontal scale of fluctuation of soil spatial variability
Jin-Zhang Zhang
Dong-Ming Zhang
Gang Li
Research Paper 08 October 2021 Pages: 1129 - 1145
A maximum entropy method using fractional moments and deep learning for geotechnical reliability analysis
Ze Zhou Wang
Siang Huat Goh
Research Paper 15 August 2021 Pages: 1147 - 1166
Real-time prediction of shield moving trajectory during tunnelling using GRU deep neural network
Nan Zhang
Ning Zhang
Ye-Shuang Xu
Research Paper 30 July 2021 Pages: 1167 - 1182
Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model
Deping Guo
Hemao Chen
Pijush Samui
Research Paper 26 July 2021 Pages: 1183 - 1205
Machine learning-assisted distinct element model calibration: ANFIS, SVM, GPR, and MARS approaches
Hadi Fathipour-Azar
Research Paper 26 July 2021 Pages: 1207 - 1217
A soft computing approach to tunnel face stability in a probabilistic framework
Enrico Soranzo
Carlotta Guardiani
Wei Wu
Research Paper Open access 02 August 2021 Pages: 1219 - 1238
Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
Navid Kardani
Abidhan Bardhan
Annan Zhou
Research Paper 05 July 2021 Pages: 1239 - 1255
Novel integrated approaches for predicting the compressibility of clay using cascade forward neural networks optimized by swarm- and evolution-based algorithms
Ziguang He
Hoang Nguyen
Anna Mammou
Research Paper 28 September 2021 Pages: 1257 - 1272
Efficient and flexible Bayesian updating of embankment settlement on soft soils based on different monitoring datasets
Hua-Ming Tian
Zi-Jun Cao
Fu-Ping Zhang
Research Paper 23 October 2021 Pages: 1273 - 1294
Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization
Li Shang
Hoang Nguyen
Le Thi Minh Hanh
Research Paper 18 October 2021 Pages: 1295 - 1314
Exploring efficiency of biochar in enhancing water retention in soils with varying grain size distributions using ANN technique
Ankit Garg
Insha Wani
Vinod Kushvaha
Research Paper 17 November 2021 Pages: 1315 - 1326
New interpretable shear strength criterion for rock joints
Hadi Fathipour-Azar
Research Paper 17 January 2022 Pages: 1327 - 1341
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
Jian Zhou
Shuangli Zhu
Weixun Yong
Research Paper 29 January 2022 Pages: 1343 - 1366
Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks
Wengang Zhang
Hongrui Li
Lin Wang
Research Paper 08 April 2022 Pages: 1367 - 1382
Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models
Shengpeng Hao
Thomas Pabst
Research Paper 02 April 2022 Pages: 1383 - 1402
Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations
Pin Zhang
Zhen-Yu Yin
Xian-Feng Liu
Research Paper 14 July 2021 Pages: 1403 - 1422
Stability evaluation of rock slope based on discrete fracture network and discrete element model: a case study for the right bank of Yigong Zangbu Bridge
Yuchao Li
Jianping Chen
Chen Cao
Research Paper 08 October 2021 Pages: 1423 - 1441
Use of machine learning for unraveling hidden correlations between particle size distributions and the mechanical behavior of granular materials
Ignacio González Tejada
P. Antolin
Research Paper Open access 07 December 2021 Pages: 1443 - 1461
Predicting pipeline corrosion in heterogeneous soils using numerical modelling and artificial neural networks
Rukshan Azoor
Ravin Deo
Jayantha Kodikara
Research Paper 07 December 2021 Pages: 1463 - 1476
Comparative performance of eight ensemble learning approaches for the development of models of slope stability prediction
Shan Lin
Hong Zheng
Wei Li
Research Paper 23 January 2022 Pages: 1477 - 1502
Spatial random fields-based Bayesian method for calibrating geotechnical parameters with ground surface settlements induced by shield tunneling
Changhong Wang
Kun Wang
Yonas Kelata
Research Paper 31 January 2022 Pages: 1503 - 1519
Determination of shape parameters of sands: a deep learning approach
Yejin Kim
Jeehoon Ma
Tae Sup Yun
Research Paper 31 January 2022 Pages: 1521 - 1531
Real-time prediction of shield moving trajectory during tunnelling
Shui-Long Shen
Khalid Elbaz
Annan Zhou
Research Paper 04 February 2022 Pages: 1533 - 1549
Probabilistic decoupled approach to estimate seismic rotational displacements of flexible slopes considering depth-dependent soil variability
Mao-Xin Wang
Dian-Qing Li
Wen-Qi Du
Research Paper 02 March 2022 Pages: 1551 - 1567