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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
武汉岩土力学研究所 [74]
合肥物质科学研究院 [6]
地质与地球物理研究所 [3]
沈阳自动化研究所 [3]
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期刊论文 [88]
会议论文 [6]
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2024 [1]
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Engineerin... [6]
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TBM Advanced Geological Prediction via Ellipsoidal Positioning Velocity Analysis
期刊论文
OAI收割
BUILDINGS, 2024, 卷号: 14, 期号: 10, 页码: 3126
作者:
Gao, Zhen
;
Rong, Xin
;
Wang, Wei
;
Huang, Bin
;
Liu, Junqiang
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/12/20
seismic exploration
advanced geological forecasting
velocity analysis
TBM construction tunnel
Optimization of Rockburst Risk Control Measures for Deeply Buried TBM Tunnels: A Case Study
期刊论文
OAI收割
BUILDINGS, 2023, 卷号: 13, 期号: 6, 页码: -
作者:
Li, Pengxiang
;
Zhao, Jinshuai
;
Bu, Wankui
;
Niu, Wenjing
;
Liu, Pinpin
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/08/02
rockburst
microseismic monitoring
TBM tunnel
rockburst control measures
Rockburst and microseismic activity in a lagging tunnel as the spacing between twin TBM excavated tunnels changes: A case from the Neelum-Jhelum hydropower project
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 卷号: 132, 期号: -, 页码: -
作者:
Li, Peng -Xiang
;
Chen, Bing-Rui
;
Xiao, Ya-Xun
;
Feng, Guang-Liang
;
Zhou, Yang-Yi
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/08/02
Tunnel spacing
Rockburst mitigation
Rockburst characteristics
Microseismicity
TBM
Mixed hydrogen isotopes plasma-driven permeation through CLF-1 RAFM steel for ITER HCCB TBM
期刊论文
OAI收割
NUCLEAR FUSION, 2022, 卷号: 62
作者:
Liu, Cai-Bin
;
Zhou, Hai-Shan
;
Li, Xue-Chun
;
Liu, Hao-Dong
;
Wang, Lu
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2022/12/22
tritium
permeation
mixture plasma
isotope effects
TBM
RAFM steel
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
Development and in-situ application of a real-time cutting tool forces monitoring system in TBM tunnelling
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2022, 卷号: 124, 期号: -, 页码: -
作者:
Huang, Xing
;
Liu, Quansheng
;
Liu, Bin
;
Wang, Dongdong
;
Wang, Xinyu
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/08/02
TBM
Cutting tool forces
Real-time monitoring system
Remote control
In-situ application
A real-time prediction method for tunnel boring machine cutter-head torque using bidirectional long short-term memory networks optimized by multi-algorithm
期刊论文
OAI收割
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2022, 卷号: 14, 期号: 3, 页码: 798
作者:
Huang, Xing
;
Zhang, Quantai
;
Liu, Quansheng
;
Liu, Xuewei
;
Liu, Bin
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/08/02
Tunnel boring machine (TBM)
Real-time cutter-head torque prediction
Bidirectional long short-term memory (BLSTM)
Bayesian optimization
Multi-algorithm fusion optimization
Incremental learning
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:12/0
  |  
提交时间:2023/08/02
TBM
Rock mass classification
CatBoost
Sequential Model-Based Optimization
Rock mass boreability
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
Prediction of tunnel boring machine operating parameters using various machine learning algorithms
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2021, 卷号: 109, 页码: 12
作者:
Xu, Chen
;
Liu, Xiaoli
;
Wang, Enzhi
;
Wang, Sijing
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/10/09
TBM
Operating parameters
Machine learning algorithms
CNN
LSTM