Article
Engineering, Civil
Vahdat Samandar Ajirlou, Masoud Ranjbarnia, Pierpaolo Oreste
Summary: In this study, a theoretical method is proposed to simulate the performance of pre-support in squeezing conditions. The loading distribution and non-linear stiffness of the pre-cutting shells are determined using the LDP and shell theory, respectively. The convergence confinement method is used to calculate the deformation of the pre-supported tunnel. Several examples are solved to demonstrate the effectiveness of pre-cutting shells, and graphs for the preliminary design of a tunnel using this technique are provided.
TRANSPORTATION GEOTECHNICS
(2023)
Article
Engineering, Environmental
Jiankang Liu, Yujing Jiang, Wei Han, Osamu Sakaguchi
Summary: Research shows that optimized artificial neural network models can reliably predict rock mass quality scores (RQS), with particle swarm optimization-artificial neural network (PSO-ANN) and imperialist competition algorithm-artificial neural network (ICA-ANN) models performing better.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Construction & Building Technology
Changbing Qin, Yueyang Li, Jian Yu, Siau Chen Chian, Hanlong Liu
Summary: In this study, the crown stability of a deep-buried metro tunnel or station is evaluated using a kinematic analysis procedure. The analysis takes into account the non-uniform rock surroundings and the effect of pore water. The rock strata are discretized into layers with varying parameters, and the pore water effect is treated as an external loading. The study presents a preliminary analysis of tunnel crown stability in a uniform rock medium using the Hoek-Brown criterion. The non-uniformity of rock masses is then considered, and closed-form solutions for 2D and 3D collapse mechanisms are formulated. The weight of the collapsing block is calculated, providing an estimate of the average overburden pressure and guiding tunnel lining design.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2022)
Article
Optics
Xuexiao Ma, Jiaqiang Lin, Chuansheng Dai, Jialiang Lv, Peijun Yao, Lixin Xu, Chun Gu
Summary: This paper proposes a new approach to analyze the mode-locked performance of fiber lasers using machine learning technology. By using artificial neural networks to judge pulse evolution and predict pulse shape, and combining the genetic algorithm, the authors demonstrate how to compute the parameters of fiber lasers.
OPTICS AND LASER TECHNOLOGY
(2022)
Article
Engineering, Geological
Bak Kong Low, Chia Weng Boon
Summary: This study explores the coupling of the first-order reliability method (FORM) and Monte Carlo simulations (MCS) in the probability-based design of reinforced rock slopes, and proposes the FORM-MCS-FORM design method for cases with multiple failure modes. For cases with a dominant single failure mode, importance sampling or the fast second-order reliability method (SORM) can be used instead of MCS. Additionally, MCS enhanced with FORM is essential for reinforced blocks with multiple sliding modes.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Engineering, Civil
Isam Shahrour, Wengang Zhang
Summary: The application of soft computing techniques in TBM tunneling has achieved significant progress in optimizing solutions and reducing costs. Engineers face challenges in selecting the appropriate technique, but recommendations like preliminary analysis, data completion, selection of hidden layers and nodes, use of recurrent neural networks, and hybrid optimization techniques can help overcome these challenges and improve efficiency.
Article
Metallurgy & Metallurgical Engineering
Xue-xu An, Zhi-ping Hu, Yan Su, Shuang-li Cao, Lei Tao, Yong-hui Zhang
Summary: This study proposes an intuitive method for determining the initial support distance of a tunnel. By constructing a three-dimensional analytical model and calculating the failure tendency coefficient of hard surrounding rock, a reasonable initial support distance is successfully determined.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Computer Science, Information Systems
M. I. R. Shuvo, M. A. H. Akhand, Nazmul Siddique
Summary: Handwritten numeral recognition poses challenges due to deformations and variations. This study proposes a method that superimposes handwritten numeral images onto printed numeral images, achieving high accuracy in recognizing handwritten numerals in Bengali, Devanagari, and English.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Zheng Zhou, Yang Liu, Hu Li
Summary: A method for convergence monitoring in shield tunnels considering the flattening effect is proposed based on distributed Brillouin optical time-domain analysis technology. The effectiveness of the method is validated through numerical simulation and practical application, which demonstrates high accuracy and robustness in convergence monitoring.
Article
Engineering, Geological
Bin Liu, Jiansen Wang, Senlin Yang, Xinji Xu, Yuxiao Ren
Summary: A forward-prediction method based on seismic wave velocity layered tomography is developed for tunnel geology and classification of surrounding rock. A layered inversion technique is proposed to solve the problem of strong multi-solution in wave velocity inversion caused by limited ray paths in a narrow tunnel space. Additionally, a surrounding rock classification network based on an autoencoder is constructed to establish the mapping relationship between wave velocity and classification of surrounding rock. Numerical examples and a field case study demonstrate the potential of the proposed method for practical applications.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2023)
Article
Construction & Building Technology
Hongbo Zhao, Shaojun Li, Bingrui Chen
Summary: The study developed a novel reliability-based design method that integrated rock-support interactions and uncertainties for rock tunnels. It successfully applied to rock tunnel design, improving computing efficiency and ensuring tunnel stability.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Milad Zaheri, Masoud Ranjbarnia, Daniel Dias
Summary: A new theoretical method is proposed to simulate the performance of fiberglass dowels in the confinement of the tunnel face in weak rock masses. By using the spherical symmetry hypothesis, the stress distribution ahead of the tunnel face is obtained, and considering the relative shear displacements between the reinforcing elements and rock mass, the distribution of axial forces and shear stresses along the reinforcements is derived. The results obtained with this method are in good agreement with those from FLAC3D simulations.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Construction & Building Technology
Zhe Yang, Boning He, Yang Liu, Di Wang, Guoli Zhu
Summary: This study used a modified convolutional neural network (CNN) AlexNet to classify rock fragmentation at tunnel construction sites based on images. Experimental results showed that the extracted features are reliable and can accurately detect large rock fragments.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Geochemistry & Geophysics
Abiodun Ismail Lawal, Sangki Kwon, Geon Young Kim
Summary: This study predicted blast-induced ground vibration (BIGV) in the Daejeon tunnel and developed models using artificial neural networks and gene expression programs. The proposed MFO-ANN model outperformed other models in predicting PPV, with sensitivity analysis showing that the charge per delay has the highest influence on the predicted PPV.
Article
Engineering, Civil
Arsalan Mahmoodzadeh, Mohammadreza Taghizadeh, Adil Hussein Mohammed, Hawkar Hashim Ibrahim, Hanan Samadi, Mokhtar Mohammadi, Shima Rashidi
Summary: Evaluation and optimization of tunnel wall convergence is important in preventing potential problems during tunnel construction and utilization. The use of deep learning algorithms and neural networks has expanded in recent years to predict tunnel wall convergence. Predicting TWC can reduce uncertainties and improve the accuracy and reliability of designs.
GEOMECHANICS AND ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Qing Lu, Zhipeng Xiao, Jun Zheng, Yuequan Shang
GEOSCIENCE FRONTIERS
(2018)
Article
Engineering, Environmental
Hong-Yue Sun, Pan Pan, Qing Lu, Zhen-Lei Wei, Wei Xie, Wei Zhan
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2019)
Article
Engineering, Environmental
Jun Zheng, Qing Lu, Jianhui Deng, Xiaojuan Yang, Xiang Fan, Zhenjie Ding
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2019)
Article
Engineering, Geological
Zhen-lei Wei, Qing Lu, Hong-yue Sun, Yue-quan Shang
ENGINEERING GEOLOGY
(2019)
Article
Engineering, Environmental
Zhu Wang, Yang Yu, Hongyue Sun, Qing Lu, Yuequan Shang
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2020)
Article
Engineering, Geological
Qing Lu, Peng Chen, Byungmin Kim, Jun Zheng, Jian Ji
ENGINEERING GEOLOGY
(2019)
Article
Engineering, Geological
Jun Zheng, Xiaohong Wang, Qing Lu, Jianfeng Liu, Jichao Guo, Tiexin Liu, Jianhui Deng
ROCK MECHANICS AND ROCK ENGINEERING
(2020)
Article
Computer Science, Interdisciplinary Applications
Jian Ji, Weijie Zhang, Fei Zhang, Yufeng Gao, Qing Lu
COMPUTERS AND GEOTECHNICS
(2020)
Article
Engineering, Geological
Jiongchao Wang, Jun Zheng, Qing Lu, Jichao Guo, Mingming He, Jianhui Deng
ROCK MECHANICS AND ROCK ENGINEERING
(2020)
Article
Engineering, Environmental
Jichao Guo, Jun Zheng, Qing Lu, Honglei Sun
Summary: The study proposed two new empirical methods for engineers to quickly choose an appropriate model, with validation results showing that the methods are effective and applicable.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Engineering, Environmental
Qing Lu, Bin Xu, Yang Yu, Wei Zhan, Yu Zhao, Jun Zheng, Jian Ji
Summary: The paper presents a new method for investigating the reliability of pile-stabilized slopes, taking into account uncertainties in both the soil and the stabilizing piles. Two typical failure modes are studied from a probabilistic viewpoint, and the proposed method is demonstrated to be accurate and feasible through case studies and sensitivity analyses.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Engineering, Civil
Jun Zheng, Jiongchao Wang, Jichao Guo, Yingqiu Zhang, Qing Lu, Hongyue Sun
Summary: A new siphon drainage system with variable diameters is proposed to improve drainage capacity for landslides. Experimental results show that using siphon pipes with variable diameters can increase the velocity growth rate, with a better promotion effect on higher lift siphons.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Multidisciplinary
Jun Zheng, Wankun Li, Bohu Zhang, Qing Lu
Summary: This study developed a procedure for constructing virtual digital outcrop models and compared the measurement accuracy of georeferencing through camera positions and control points. The experimental results showed that high positioning accuracy devices are recommended for measuring control point coordinates, while camera positions can achieve better measurement accuracy if high accuracy devices are unavailable.
Article
Engineering, Geological
Jichao Guo, Jun Zheng, Qing Lu, Jianhui Deng
Summary: This paper investigates the estimation of fracture size- and azimuth-related parameters in the universal elliptical disc (UED) model based on trace information from sampling windows. The stereological relationship between trace length and UED parameters is established, and formulae for mean value and standard deviation of trace length are proposed. Monte Carlo simulations validate the proposed formulae with less than 5% error rate. An optimization method is developed for parameter estimation using trace length. A case study demonstrates the effectiveness of the method, and a three-dimensional hypothetical fracture network shows the superiority of the UED model over circular disc and non-UED models.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2023)
Article
Engineering, Environmental
Pan Pan, Yue-quan Shang, Qing Lue, Yang Yu
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2019)
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)