相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Mechanical and microstructural properties of recycling granite residual soil reinforced with glass fiber and liquid-modified polyvinyl alcohol polymer
Bingxiang Yuan et al.
CHEMOSPHERE (2022)
Advance prediction of collapse for TBM tunneling using deep learning method
Dong Guo et al.
ENGINEERING GEOLOGY (2022)
Intelligent assistant driving method for tunnel boring machine based on big data
Dong Guo et al.
ACTA GEOTECHNICA (2022)
Advanced prediction of tunnel boring machine performance based on big data
Jinhui Li et al.
GEOSCIENCE FRONTIERS (2021)
Sensitivity of Multistage Fill Slope Based on Finite Element Model
Bingxiang Yuan et al.
ADVANCES IN CIVIL ENGINEERING (2021)
Coupled thermo-hydro-mechanical mechanism in view of the soil particle rearrangement of granular thermodynamics
Bing Bai et al.
COMPUTERS AND GEOTECHNICS (2021)
Cotransport of heavy metals and SiO2 particles at different temperatures by seepage
Bing Bai et al.
JOURNAL OF HYDROLOGY (2021)
Experimental study of displacement field of layered soils surrounding laterally loaded pile based on transparent soil
Bingxiang Yuan et al.
JOURNAL OF SOILS AND SEDIMENTS (2021)
Algorithms for intelligent prediction of landslide displacements
Zhong-qiang Liu et al.
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A (2020)
Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods
Ren-Peng Chen et al.
SOILS AND FOUNDATIONS (2019)
Time series analysis and long short-term memory neural network to predict landslide displacement
Beibei Yang et al.
LANDSLIDES (2019)
A thermodynamic constitutive model with temperature effect based on particle rearrangement for geomaterials
Bai Bing et al.
MECHANICS OF MATERIALS (2019)
Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach
A. T. C. Goh et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data
Wei Sun et al.
AUTOMATION IN CONSTRUCTION (2018)
Evaluation of train-induced settlement for metro tunnel in saturated clay based on an elastoplastic constitutive model
Qiang Huang et al.
UNDERGROUND SPACE (2018)
Study of the collapse mechanism of shield tunnels due to the failure of segments in sandy ground
Gang Zheng et al.
ENGINEERING FAILURE ANALYSIS (2017)
Modeling the relationship between ground surface settlements induced by shield tunneling and the operational and geological parameters based on the hybrid PCA/ANFIS method
D. Bouayad et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
Experimental study on the consolidation of saturated silty clay subjected to cyclic thermal loading
Bing Bai et al.
GEOMECHANICS AND ENGINEERING (2017)
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2016)
Analysis of ground surface settlement induced by the construction of a large-diameter shield-driven tunnel in Shanghai, China
Xiongyao Xie et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2016)
Pore pressure and consolidation of saturated silty clay induced by progressively heating/cooling
Bai Bing et al.
MECHANICS OF MATERIALS (2014)
Long-term settlement behaviour of metro tunnels in the soft deposits of Shanghai
Shui-Long Shen et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2014)
Irreversible consolidation problem of a saturated porothermoelastic spherical body with a spherical cavity
Bing Bai et al.
APPLIED MATHEMATICAL MODELLING (2013)
Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models
Jui-Sheng Chou et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2013)
Wavenet ability assessment in comparison to ANN for predicting the maximum surface settlement caused by tunneling
A. Pourtaghi et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2012)
Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system
Jafar Khademi Hamidi et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2010)
Artificial neural networks analysis of Sao Paulo subway tunnel settlement data
Ovidio J. Santos et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2008)
Artificial neural networks for predicting the maximum surface settlement caused by EPB shield tunneling
S Suwansawat et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2006)
Fluctuation responses of saturated porous media subjected to cyclic thermal loading
Bing Bai
COMPUTERS AND GEOTECHNICS (2006)