Article
Engineering, Environmental
Kai Zhang, Wenbo Zheng, Changtai Zhou, Heping Xie, Xiting Long, Dwayne D. Tannant, Shougen Chen, Jianbo Zhu
Summary: This paper proposes a system to evaluate the underground karst development state (UKDS) before tunnel construction. The system quantitatively grades nine factors influencing karst development and determines the UKDS levels of the evaluation objectives using correlation analysis. The effectiveness and advantages of the evaluation system are demonstrated through a case study and comparison analysis.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
Junru Zhang, Tong Pan, Kaimeng Ma, Qiang Xu, Chao Kong
Summary: This study modifies the random medium model for predicting ground deformation based on the random medium theory and Peck's formula, proposes correction coefficients λ and η for the influence of different construction methods, obtains the prediction model of underground pipeline deformation under different construction methods, constructs numerical models of four commonly used urban tunnel construction methods, and verifies the accuracy and applicability of the theoretical model by combining with actual engineering cases.
SCIENTIFIC REPORTS
(2023)
Article
Construction & Building Technology
John Healy, Kamelia Atefi-Monfared
Summary: The thermo-mechanical response of underground tunnels to fire loads is influenced by the interaction between the tunnel structure and the surrounding geological formation. Current tunnel-fire studies neglect the complexity of the geological formation and assume uniform temperature loads, thus ignoring temperature gradients that can cause additional damage. This paper presents a comprehensive numerical framework that considers the support system, in-situ conditions, thermal gradients, and thermo-mechanical interactions to accurately predict fire-induced damages in underground tunnels.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Xianmeng Zhang, Minghao Wang, Dan Feng, Jingchun Wang
Summary: This study focuses on a karst water-rich tunnel in Chongqing and establishes a seepage field distribution model to analyze its evolution. The prediction method for tunnel water inflow in karst areas with abundant water is combined with long-term on-site observations. The SVR model is used to predict the water inrush risk level for karst tunnels. The overall prediction accuracy of the underground runoff modulus method is better than that of the water balance method in predicting the water inrush volume of the tunnel. This prediction method can provide reference and guidance for the construction of other karst-rich water tunnels in the region.
Article
Construction & Building Technology
Ning Liu, Junhao Pei, Chengyong Cao, Xiangyuan Liu, Yixiong Huang, Guoxiong Mei
Summary: This paper presents a case study of water inrush hazard and treatment of large-section filled karst conduits during the construction of the running tunnel of Guiyang Rail Transit Line 1. Through analysis of various causes and comparison of solutions, an innovative scenario for the treatment of water and mud inrush in karst areas is proposed. The construction of a discharge channel comprising drainage shafts and connecting passages proves to be a cost-effective and environmentally friendly solution.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2022)
Article
Automation & Control Systems
Liang Chen, Zhitao Liu, Weijie Mao, Hongye Su, Fulong Lin
Summary: This article proposes a TransTP network for real-time prediction of tunnel boring machine (TBM) driving parameters. By collecting a hybrid in situ prediction dataset, the network can learn multiperiod feature representation and extract multivariate features, achieving accurate prediction of TBM driving parameters.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Liang Chen, Zhitao Liu, Weijie Mao, Hongye Su, Fulong Lin
Summary: This article proposes a TransTP network for real-time prediction of tunnel boring machine (TBM) driving parameters, achieving superior performance.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Mechanical
Chao Zhang, Minming Liang, Xueguan Song, Lixue Liu, Hao Wang, Wensheng Li, Maolin Shi
Summary: In this paper, a generative adversarial network for geological prediction (GAN-GP) is proposed to accurately estimate rock-soil type thicknesses in a TBM construction tunnel based on operational data. The proposed model outperforms existing models such as SVR, FNN, and RF in geological prediction.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Construction & Building Technology
Shiqi Dou, Yi Shen, Hehua Zhu
Summary: Humanistic factors are vital in the assessment of city tunnels. This study utilized a systematic literature review, expert questionnaires, and the analytic hierarchy process (AHP) to determine the major factors and their importance ranking in human-centric infrastructure. Based on this, a multi-criteria framework, the Humanistic Assessment System for City Tunnels (HASCT), was developed and demonstrated using the AHP-fuzzy comprehensive evaluation method. The assessment indexes, weight system, primary, and guiding assessment models of HASCT were thoroughly studied. The findings highlight the significance of safety and comfort in human-centric tunnels, while aesthetic value is relatively overlooked.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Song-Shun Lin, Annan Zhou, Shui-Long Shen
Summary: In recent years, the importance of deep learning methods in geotechnical engineering, especially for the safety construction of underground tunnels, has been increasing. This study developed hybrid data-driven models using optimization approaches and deep learning methods to estimate the speed of earth pressure balance shield machines for underground tunnel projects. The results indicate that the developed models have acceptable errors in geotechnical engineering and have the potential to handle time-series data sets.
Article
Construction & Building Technology
Xianlei Fu, Maozhi Wu, Robert Lee Kong Tiong, Limao Zhang
Summary: This paper investigates a hybrid deep learning approach, combining graph convolutional network (GCN) and long short-term memory (LSTM) networks, for accurate prediction of geological conditions ahead of tunnel boring machines (TBM). The results from the case study demonstrate that the proposed approach provides estimation with high accuracy, outperforming state-of-the-art methods.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Engineering, Environmental
Zhiyong Yang, Xiaokang Shao, Zhigang Zhang, Jili Feng, Hao Han, Xing Yang, Yusheng Jiang
Summary: The present study investigates the distribution and geological characteristics of cobbles and boulders in the southwestern area in Beijing. Important findings include the distribution of boulders at burial depths of 17-19 m, positive correlation between boulder size and strength, and the main factor determining the geological characteristics being the equivalent quartz content.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Computer Science, Information Systems
Xiaowei Gu, Qiang Shen
Summary: This paper proposes a novel self-adaptive fuzzy learning system for streaming data prediction, which can efficiently learn from data streams and make accurate predictions with high stability and precision.
INFORMATION SCIENCES
(2021)
Article
Construction & Building Technology
Jianzhong Chen, Linhai You, Meng Yang, Xiaoxia Wang
Summary: The lighting service state of road tunnels has a significant impact on traffic safety. A traffic safety assessment system of road tunnels was established using visual recognition clarity data from field experiments, and a new traffic safety intelligent prediction method was constructed to predict the traffic safety factor. The study found correlations between simulated vehicle speed, lighting attenuation, luminaire failures, and visual clarity. When the lighting attenuation is below 70% or four and above luminaires fail, the lighting service states of road tunnels can seriously threaten traffic safety. The PSO-BP neural network model can accurately predict the traffic safety factor, with a critical value of 0.5965 indicating a threat to traffic safety in road tunnels.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
Xinhua Chen, Jianghai Xia, Jingyin Pang, Changjiang Zhou, Binbin Mi
Summary: This study proposes an algorithm for the inversion of shear wave velocity structure in non-invasive near-surface investigations using deep learning. By generating a constrained data set using prior information and observed data, and using a modified loss function, the accuracy of the inversion model is improved. Through comparison and validation with existing methods, the feasibility and reliability of the algorithm are demonstrated.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenbo Zheng, Dwayne D. Tannant
COMPUTERS AND GEOTECHNICS
(2018)
Article
Geosciences, Multidisciplinary
Kai Zhang, Wenbo Zheng, Cong Xu, Shougen Chen
GEOMATICS NATURAL HAZARDS & RISK
(2019)
Article
Engineering, Civil
Kai Zhang, Wenbo Zheng, Cong Xu, Shougen Chen
KSCE JOURNAL OF CIVIL ENGINEERING
(2019)
Article
Engineering, Geological
Wenbo Zheng, Dwayne D. Tannant, Xiaojun Cui, Cong Xu, Xinli Hu
Article
Engineering, Geological
Cong Xu, Dwayne D. Tannant, Wenbo Zheng
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2019)
Article
Energy & Fuels
Wenbo Zheng, Dwayne D. Tannant
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2019)
Article
Engineering, Geological
Wenbo Zheng, Xinli Hu, Dwayne D. Tannant, Kai Zhang, Cong Xu
ENGINEERING GEOLOGY
(2019)
Article
Engineering, Geological
Cong Xu, Dwayne D. Tannant, Wenbo Zheng, Kaiyun Liu
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2020)
Article
Engineering, Geological
Wenbo Zheng, Xinli Hu, Dwayne D. Tannant
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2020)
Article
Environmental Sciences
Zhou Chang, Hu Xin-li, Zheng Wen-bo, Xu Chu, Wang Qiang
JOURNAL OF MOUNTAIN SCIENCE
(2020)
Article
Energy & Fuels
Diego Sanchez, Drew Gilchrist, Shengqi Yang, K. M. A. S. Bandara, Ranjith Pathegama Gamage, Wenbo Zheng
Summary: This study experimentally examines the mechanical behaviors of frac sand under high compressive stresses and their implications on sand packs' long-term conductivity. The results show that sand with weaker anorthite mineral grains exhibits more grain breakage and higher plastic and creep strains at high compressive stresses. Wider grain size distributions lead to larger plastic strains, but provide better crushing resistance and smaller creep deformation. The time-dependent deformation of sand can be satisfactorily described with the Riemann-Liouville fractional calculus model. Lower viscosity coefficients are found in certain sand types.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Engineering, Geological
Tuo Wang, Fengshou Zhang, Wenbo Zheng
Summary: This study reproduces the suffusion process in gap-graded soil using realistic shaped coarse grains. The coupling of discrete-element method (DEM) with dynamic fluid mesh (DFM) allows for the formation of pores by coarse particles and adapts to the soil skeleton's deformation. The results show that realistic shaped grains can better prevent fines migration and there is no significant difference in the suffusion pattern between models with realistic grains and spherical grains.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2023)
Article
Engineering, Geological
Wenbo Zheng, Huan Yu, Shenqqi Yang, Xiaojun Cui, Houquan Zhang
Summary: This study presents a laboratory investigation on the mechanical behaviors of Montney formation rocks using instrumented indentation tests and proppant embedment tests. It is found that the Young's modulus and hardness of the formation are strongly related to the elastic and total indentation, respectively. A mathematical model is proposed to estimate fracture aperture changes with compressive stresses by considering proppant deformation and embedment, which provides an alternative approach to costly proppant embedment tests.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Energy & Fuels
Haoze Li, Bingxiang Huang, Wenbo Zheng, Xinglong Zhao, Dwayne Tannant
Summary: This paper proposes and applies a theoretical model to calculate the embedment of both monolayer and multi-layer proppants to rock fracture surface. Lower proppant placement concentration, larger proppant particle sizes, and smaller Young's modulus contribute to greater proppant embedment depth. The heterogeneity of proppants has a significant influence on the embedment depth of single-layer proppants but a relatively smaller influence on multi-layer proppants. The proposed model provides a theoretical basis for considering proppant embedment in the optimization and application of proppants in the field.
GAS SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Haoze Li, Bingxiang Huang, Wenbo Zheng, Xinglong Zhao, Dwayne Tannant
Summary: This study establishes a theoretical model of CBM extraction with different proppant distribution forms based on the theory of dual-porous media, considering the impact on extraction efficiency. The results show that continuous proppant injection and correct proppant placement rate can significantly improve CBM extraction efficiency.
RESULTS IN ENGINEERING
(2023)
Article
Construction & Building Technology
Zhi Ding, Xiao Zhang, Shao-Heng He, Yong-Jie Qi, Cun-Gang Lin
Summary: This study investigates the longitudinal behavior of a shield tunnel by designing and constructing a reduced-size indoor model. The results show that the longitudinal settlement of the tunnel follows a normal distribution, with the maximum settlement occurring at the central ring and increasing linearly with the applied load. Stress concentration typically occurs on the side of the tunnel waist under surcharge, resulting in transverse elliptical deformation of the entire structure.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Lucia Lopez-de-Abajo, Marcos G. Alberti, Jaime C. Galvez
Summary: Assessing and predicting concrete damage is crucial for infrastructure management. This study quantifies gas concentrations in urban tunnels to achieve this goal.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Chao He, Yinghao Cai, Chenqiang Pu, Shunhua Zhou, Honggui Di, Xiaohui Zhang
Summary: This paper investigates the impact of river channel excavation on adjacent metro tunnels and proposes protective measures based on an engineering project in Fuzhou, China. A three-dimensional finite element model is developed to calculate the displacements and distortion of tunnels under different excavation sequences and soil reinforcement measures. Real-time monitoring confirms that the vertical displacements and diametrical distortion of tunnels are primarily caused by the excavation of the river above the tunnels, while horizontal displacements are induced by the excavation next to the tunnels. The study recommends a combination of cement slurry with a portal form and concrete with a plate form for soil reinforcement and tunnel protection.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Yaosheng Liu, Ang Li, Feng Dai, Ruochen Jiang, Yi Liu, Rui Chen
Summary: In this study, a hybrid model based on a multilayer perceptron (MLP) and meta-heuristic algorithms was developed to improve blast performance during tunnel excavation. Precise prediction of post-blasting indicators was important for optimization, and a comparison of meta-heuristic algorithms was conducted to find the most suitable model. The results showed that the developed model effectively reduces overbreak areas and quantitatively analyzes the influence of geological conditions.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Xiang Shen, Yifan Chen, Liqiang Cao, Xiangsheng Chen, Yanbin Fu, Chengyu Hong
Summary: In this paper, a machine learning-based method for predicting the slurry pressure in shield tunnel construction is proposed. By considering the influence of fault fracture zones and setting the formation influence coefficient, the accuracy of the prediction is significantly improved.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Shuying Wang, Zihao Zhou, Xiangcou Zheng, Jiazheng Zhong, Tengyue Zheng, Changhao Qi
Summary: A real-time assessment and monitoring approach based on laser scanning technology and point cloud data analysis was proposed to address the hysteresis in assessing the workability of conditioned soils and the inefficiency in estimating the soil volume flow rate in tunnelling practice. The approach was successfully applied in identifying the workability of conditioned soil and its discharge rate in the EPB shield tunnelling project.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Peng Jiang, Benchao Liu, Yuting Tang, Zhengyu Liu, Yonghao Pang
Summary: This study introduces a novel deep learning-based electrical method that jointly inverses resistivity and chargeability to estimate water-bearing structures and water volume. Compared with traditional linear inversion methods, the proposed method demonstrates superiority in locating and delineating anomalous bodies, reducing solution multiplicity.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Haoyu Mao, Nuwen Xu, Zhong Zhou, Chun Sha, Peiwei Xiao, Biao Li
Summary: The study focuses on the delineation of rock mass damage zones and stability analysis of underground powerhouse in Lianghekou hydropower station. ESG monitoring system is used to monitor the inner micro-fracture activity of surrounding rock mass in real-time. Engineering analogy method is adopted to forecast the deformation period of surrounding rock mass and analyze the variation characteristics of seismic source parameters. The research results provide references for similar deep underground excavation engineering in terms of design and construction.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Junling Qiu, Dedi Liu, Kai Zhao, Jinxing Lai, Xiuling Wang, Zhichao Wang, Tong Liu
Summary: This study focuses on the construction surface cracks of large cross-section tunnels in loess strata of China. The mechanism of surface crack formation is analyzed, and factors such as settlement deformation, construction scheme, and surrounding soil environment are identified as the main contributors. Numerical simulations were conducted to gain a deeper understanding of the influence of factors on surface cracks in loess tunnel construction. Specific measures for prevention and treatment of construction surface cracks are proposed to provide new ideas for surface crack control in loess tunnels.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Ting Shang, Jiaxin Lu, Ying Luo, Song Wang, Zhengyu He, Aobo Wang
Summary: The study reveals significant variations in car-following behavior across different types of tunnels and consecutive sections of the same tunnel. As tunnel length increases, the driving stability of following vehicles decreases, but the level of driving safety risk is not positively correlated with tunnel length. Significant vehicle trajectory oscillation is observed within the inner sections of long and extra-long tunnels, and a significant relationship between the acceleration of following vehicles and the location within the tunnel section is found.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Rusi Zeng, Zhongwei Shen, Jun Luo
Summary: The urban underground complexes (UUCs) in China have been effective in solving urban problems, but users have expressed dissatisfaction with the internal physical environment. Personal characteristics and environmental factors play significant roles in determining users' satisfaction.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Gabriel Lehmann, Heiko Kaeling, Sebastian Hoch, Kurosch Thuro
Summary: Analysing and predicting the advance rate of a tunnel boring machine (TBM) in hard rock is important for tunnelling projects. This study focuses on small-diameter TBMs and their unique characteristics, such as insufficient geotechnical information and special machine designs. A database of 37 projects with 70 geotechnically homogeneous areas is compiled to investigate the performance of small-diameter TBMs. The analysis shows that segment lining TBMs have higher penetration rates, and new approaches for the penetration prediction of pipe jacking machines in hard rock are proposed.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Ting Ren, Ming Qiao, Jon Roberts, Jennifer Hines, Yang-Wai Chow, Wei Zong, Adrian Sugden, Mark Shepherd, Matthew Farrelly, Gareth Kennedy, Faisal Hai, Willy Susilo
Summary: Long-term exposure to coal and silica dust during underground tunnelling operations is a growing concern. To bridge the gap between knowledge in dust exposure monitoring and frontline workers, a virtual reality educational tool was developed to visualize ventilation and dust flow characteristics. This tool allows workers to better understand decision-making and best practices for dust controls.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Dong Lin, Zhipeng Zhou, Miaocheng Weng, Wout Broere, Jianqiang Cui
Summary: Metro systems play a vital role in the transportation, economic, environmental and social aspects of cities. The uncertainties in construction, passenger comfort and safety, as well as efficiency and reliability of the metro system, have been widely studied. Metro systems influence urban development and have a positive impact on housing prices, public health, and environmental quality. Further research is needed to fill the research gaps and make recommendations for future studies.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Wei Yu, Bo Wang, Xin Zi, Jie Dong
Summary: In this study, a whole-process analytical theory for the coupled deformation of deep circular tunnel surrounding rock and prestressed yielding anchor bolt (cable) system is derived and validated through numerical simulations. The results show that anchor bolts (cables) can significantly reduce the convergence of surrounding rock, and factors such as support timing and anchor cable length have important effects on the support effectiveness.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
