Deep learning analysis for energy consumption of shield tunneling machine drive system
出版年份 2022 全文链接
标题
Deep learning analysis for energy consumption of shield tunneling machine drive system
作者
关键词
Deep learning, Shield tunneling, Energy consumption, Geological conditions, Operational parameters
出版物
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Volume 123, Issue -, Pages 104405
出版商
Elsevier BV
发表日期
2022-02-08
DOI
10.1016/j.tust.2022.104405
参考文献
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。- Application of deep learning algorithms in geotechnical engineering: a short critical review
- (2021) Wengang Zhang et al. ARTIFICIAL INTELLIGENCE REVIEW
- Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network
- (2021) Zaobao Liu et al. AUTOMATION IN CONSTRUCTION
- A novel deep learning-based modelling strategy from image of particles to mechanical properties for granular materials with CNN and BiLSTM
- (2021) Pin Zhang et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Multi-sources information fusion analysis of water inrush disaster in tunnels based on improved theory of evidence
- (2021) Shucai Li et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Data on performance and variation index for shield tunnelling through soft deposit
- (2021) Tao Yan et al. Data in Brief
- Soil-water inrush induced shield tunnel lining damage and its stabilization: A case study
- (2020) Linchong Huang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Prediction of Disc Cutter Life during Shield Tunneling with AI via the Incorporation of a Genetic Algorithm into a GMDH-Type Neural Network
- (2020) Khalid Elbaz et al. Engineering
- A critical evaluation of machine learning and deep learning in shield-ground interaction prediction
- (2020) Pin Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- A deep learning framework for building energy consumption forecast
- (2020) Nivethitha Somu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Prediction of maximum surface settlement caused by earth pressure balance (EPB) shield tunneling with ANN methods
- (2019) Ren-Peng Chen et al. SOILS AND FOUNDATIONS
- Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting
- (2019) Yong Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Hybrid Support Vector Machine Optimization Model for Prediction of Energy Consumption of Cutter Head Drives in Shield Tunneling
- (2019) Cheng Zhou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Dynamic prediction for attitude and position in shield tunneling: A deep learning method
- (2019) Cheng Zhou et al. AUTOMATION IN CONSTRUCTION
- Real-time analysis and regulation of EPB shield steering using Random Forest
- (2019) Pin Zhang et al. AUTOMATION IN CONSTRUCTION
- Prediction of the NO emissions from thermal power plant using long-short term memory neural network
- (2019) Guotian Yang et al. ENERGY
- State-of-the-art review of soft computing applications in underground excavations
- (2019) Wengang Zhang et al. Geoscience Frontiers
- Utilizing IFC for shield segment assembly in underground tunneling
- (2018) Ying Zhou et al. AUTOMATION IN CONSTRUCTION
- Multistage regulation strategy as a tool to control the vertical displacement of railway tracks placed over the building site of two overlapped shield tunnels
- (2018) Gang Zheng et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach
- (2016) A. T. C. Goh et al. Bulletin of Engineering Geology and the Environment
- Disc cutter wear prediction for a hard rock TBM cutterhead based on energy analysis
- (2015) Lihui Wang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
- (2014) E. Momeni et al. MEASUREMENT
- Energy saving of cutterhead hydraulic drive system of shield tunneling machine
- (2013) Hu Shi et al. AUTOMATION IN CONSTRUCTION
- The diameter of single, double and triple fluid jet grouting columns: prediction method and field trial results
- (2013) A. FLORA et al. GEOTECHNIQUE
- Identification and optimization of energy consumption by shield tunnel machines using a combined mechanical and regression analysis
- (2012) Qian Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Determination of the cutterhead torque for EPB shield tunneling machine
- (2011) Hu Shi et al. AUTOMATION IN CONSTRUCTION
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