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CAS IR Grid
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武汉岩土力学研究所 [55]
云南天文台 [4]
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期刊论文 [57]
会议论文 [2]
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Experimental and numerical investigations on cross rock pillar method for super large cross-sectional tunnel excavation
期刊论文
OAI收割
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2023, 卷号: 82, 期号: 7, 页码: -
作者:
Sang, Haomin
;
Liu, Bin
;
Kang, Yongshui
;
Liu, Quansheng
;
Pan, Yucong
  |  
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2023/08/02
Super large cross section
Cross rock pillar method
Physical model test
Fiber sensing technology
Numerical verification
Robust model for tunnel squeezing using Bayesian optimized classifiers with partially missing database
期刊论文
OAI收割
UNDERGROUND SPACE, 2023, 卷号: 10, 页码: 91
作者:
Bo, Yin
;
Huang, Xing
;
Pan, Yucong
;
Feng, Yanfang
;
Deng, Penghai
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/08/02
Tunnel squeezing hazard
Bayesian optimization
Machine learning techniques
Sparrow search algorithm
Ensemble classifier
Incomplete database
Point and interval estimation of rock mass boreability for tunnel boring machine using an improved attribute-weighted deep belief network
期刊论文
OAI收割
ACTA GEOTECHNICA, 2023, 卷号: 18, 期号: 4, 页码: 1769
作者:
Yin, Xin
;
Huang, Xing
;
Pan, Yucong
;
Liu, Quansheng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/08/02
Bayesian optimization
Deep belief network
Field penetration index
Point and interval estimation
Rock mass boreability
Tunnel boring machine
QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency
期刊论文
OAI收割
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING, 2023, 卷号: 17, 期号: 1, 页码: 25
作者:
Wang, Xinyu
;
Wu, Jian
;
Yin, Xin
;
Liu, Quansheng
;
Huang, Xing
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/08/02
tunnel boring machine
control parameter optimization
quantum particle swarm optimization
artificial neural network
tunneling energy efficiency
Rockburst inoculation process at different structural planes and microseismic warning technology: a case study
期刊论文
OAI收割
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2022, 卷号: 81, 期号: 12
作者:
Du, Chenglei
;
Pan, Yucong
;
Liu, Quansheng
;
Huang, Xing
;
Yin, Xin
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/08/02
Tunnel boring machine (TBM)
Structural planes
Rockbursts
Microseismic (MS) events
Fractal characteristics
Compressive strength prediction of sprayed concrete lining in tunnel engineering using hybrid machine learning techniques
期刊论文
OAI收割
UNDERGROUND SPACE, 2022, 卷号: 7, 期号: 5, 页码: 928
作者:
Yin, Xin
;
Gao, Feng
;
Wu, Jian
;
Huang, Xing
;
Pan, Yucong
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/08/02
Intelligent construction
Hybrid machine learning
Sprayed concrete lining
Compressive strength prediction
Tunnel engineering
Development and Application of a Novel Hybrid CEEMDAN-LWT Denoising Approach in Microseismic Monitoring
期刊论文
OAI收割
PURE AND APPLIED GEOPHYSICS, 2022, 卷号: 179, 期号: 9, 页码: 3279
作者:
Yin, Xin
;
Liu, Quansheng
;
Huang, Xing
;
Pan, Yucong
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/08/02
Tunnel engineering
microseismic denoising
LWT
CEEMDAN
Real-time hard-rock tunnel prediction model for rock mass classification using CatBoost integrated with Sequential Model-Based Optimization
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2022, 卷号: 124
作者:
Bo, Yin
;
Liu, Quansheng
;
Huang, Xing
;
Pan, Yucong
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/08/02
TBM
Rock mass classification
CatBoost
Sequential Model-Based Optimization
Rock mass boreability
FDEM numerical modeling of failure mechanisms of anisotropic rock masses around deep tunnels
期刊论文
OAI收割
COMPUTERS AND GEOTECHNICS, 2022, 卷号: 142, 页码: 19
作者:
Deng, Penghai
;
Liu, Quansheng
;
Huang, Xing
;
Pan, Yucong
;
Wu, Jian
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/02/17
Anisotropic rock masses
Combined finite-discrete element method
(FDEM)
Failure mechanism
Composite failure
V-shaped notch failure
Spalling of bedding plane
Perception model of surrounding rock geological conditions based on TBM operational big data and combined unsupervised-supervised learning
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2022, 卷号: 120, 页码: 20
作者:
Yin, Xin
;
Liu, Quansheng
;
Huang, Xing
;
Pan, Yucong
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/04/11
TBM
Surrounding rock class
Perception model
Unsupervised learning
Supervised learning