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学者姓名：关振长
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Abstract ：
Longitudinal equivalent bending stiffness (LEBS) is a fundamental parameter of shield tunnels, which directly affects the longitudinal response analysis. The influence of axial force and bending moment on the LEBS of the shield tunnel has not been well considered through model test in existing studies. Therefore, a large-scale model test for circumferential joints was conducted in this study. The model lining was fabricated by 3D printed photosensitive resin and aluminium alloy rod. The test apparatus was specially designed and assembled to measure the LEBS under different axial forces. Five model tests were conducted to discuss the influences of axial force and bending moment on the LEBS. Meanwhile, the test results were validated via a series of numerical simulations upon the ABAQUS platform. Some conclusions can be summarized as follows: The LEBS varied nonlinearly with the bending moment, which could be divided into three stages. In the static resistance stage, the bending moment was mainly carried by the axial force, which led to a great value of LEBS. In the elastic bending stage, the bending moment was carried by the axial force and bolts jointly; the LEBS decreased rapidly with bending moment. In the plastic bending stage, the LEBS decreased slowly with bending moment and converged to its steady value. The quantitative influence of bending moment and axial force on LEBS could be fitted by Logistic function. Conveniently, the longitudinal bending stiffness efficiency eta increased exponentially with the axial force nonlinearly. In the model test, the eta ranged from 6.08 % to 16.82 % when N was within 0-9.2 MN. The eta ranged from 5.77 % to 25.11 % when N was within 0-10 MN in the numerical simulation. These researches could provide some references for the longitudinal deformation estimation and the lining design of shield tunnel.
Keyword ：
Axial force Axial force Circumferential joints Circumferential joints Longitudinal bending stiffness efficiency Longitudinal bending stiffness efficiency Longitudinal equivalent bending stiffness Longitudinal equivalent bending stiffness Shield tunnel Shield tunnel
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| GB/T 7714 | Ren, Luyao , Yang, Zelong , Zheng, Junxing et al. Experimental and numerical studies on the longitudinal equivalent bending stiffness of shield tunnel by considering axial force [J]. | STRUCTURES , 2025 , 75 . |
| MLA | Ren, Luyao et al. "Experimental and numerical studies on the longitudinal equivalent bending stiffness of shield tunnel by considering axial force" . | STRUCTURES 75 (2025) . |
| APA | Ren, Luyao , Yang, Zelong , Zheng, Junxing , Chen, Siming , Guan, Zhenchang . Experimental and numerical studies on the longitudinal equivalent bending stiffness of shield tunnel by considering axial force . | STRUCTURES , 2025 , 75 . |
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With the rapid development of infrastructure construction in mountain area of China, the lining-ground interaction mechanism of mountain tunnel has attracted more and more attentions. Considering the regular two-lane mountain tunnel with ground classification of grade V, the bi-directional pushover model tests were carried out. The details about model tests including similarity ratio, similar material, model container, model fabrication and measurement system were introduced, and the variation of ground displacement, ground strain, and ground pressure with bi-directional pushover distance were carefully analyzed. Then, the lining-ground interaction mechanism was further clarified, which could be generally divided into compacting stage, overturning stage, and coercing stage. The ground was compacted slightly in compacting stage, began to divert from the springline of lining in overturning stage, and shifted the overall lining synchronously in coercing stage. The ground near the crown and shoulder of lining was compressed circumstantially to form slipping zone, and the ground near the springline of lining was compressed radically to form squeezing zone. The ground pressure in the squeezing zone was greater than its opposite side, while the ground pressure in the slipping zone was smaller than its opposite side. The numerical simulations were also carried out, while the ground displacement and the ground pressure were focused and compared with experiment results. These researches could deepen the understanding of lining-ground interaction mechanism for mountain tunnel, and provide some experimental basis and technical support for the response displacement method in anti-seismic design of underground structures.
Keyword ：
Bi-directional pushover model test Bi-directional pushover model test Lining-ground interaction mechanism Lining-ground interaction mechanism Mountain tunnel Mountain tunnel Response displacement method Response displacement method
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| GB/T 7714 | Guan, Zhenchang , Lin, Yuanying , Qiu, Huasheng et al. The Lining-Ground Interaction Mechanism Under Seismic Scenario Based on Bi-lateral Pushover Model Tests and Numerical Simulations [J]. | ROCK MECHANICS AND ROCK ENGINEERING , 2025 . |
| MLA | Guan, Zhenchang et al. "The Lining-Ground Interaction Mechanism Under Seismic Scenario Based on Bi-lateral Pushover Model Tests and Numerical Simulations" . | ROCK MECHANICS AND ROCK ENGINEERING (2025) . |
| APA | Guan, Zhenchang , Lin, Yuanying , Qiu, Huasheng , Wang, Guobo , Shi, Jingkang . The Lining-Ground Interaction Mechanism Under Seismic Scenario Based on Bi-lateral Pushover Model Tests and Numerical Simulations . | ROCK MECHANICS AND ROCK ENGINEERING , 2025 . |
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There have been ever more in-situ tunnel extension projects due to the growing demand for transportation. The traditional blast scheme requires a large quantity of explosive and the vibration effect is hard to control. In order to reduce explosive consumption and the vibration effect, an optimized non-cut blast scheme was proposed and applied to the in-situ expansion of the Gushan Tunnel. Refined numerical simulation was adopted to compare the traditional and optimized blast schemes. The vibration attenuation within the interlaid rock mass and the vibration effect on the adjacent tunnel were studied and compared. The simulation results were validated by the field monitoring of the vibration effect on the adjacent tunnel. Both the simulation and the monitoring results showed that the vibration velocity on the adjacent tunnel’s back side was much smaller than its counterpart on the blast side, i.e., the presence of cavity reduced the blasting vibration effect significantly. The optimized non-cut blast scheme, which effectively utilized the existing free surface, could reduce the explosive consumption and vibration effect significantly, and might be preferred for in-situ tunnel expansion projects. © 2024 by the authors.
Keyword ：
field monitoring field monitoring in-situ tunnel expansion in-situ tunnel expansion non-cut blast scheme non-cut blast scheme numerical simulation numerical simulation vibration effect vibration effect
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| GB/T 7714 | Guan, Z. , Xie, L. , Chen, D. et al. Numerical Simulation and Field Monitoring of Blasting Vibration for Tunnel In-Situ Expansion by a Non-Cut Blast Scheme [J]. | Sensors , 2024 , 24 (14) . |
| MLA | Guan, Z. et al. "Numerical Simulation and Field Monitoring of Blasting Vibration for Tunnel In-Situ Expansion by a Non-Cut Blast Scheme" . | Sensors 24 . 14 (2024) . |
| APA | Guan, Z. , Xie, L. , Chen, D. , Shi, J. . Numerical Simulation and Field Monitoring of Blasting Vibration for Tunnel In-Situ Expansion by a Non-Cut Blast Scheme . | Sensors , 2024 , 24 (14) . |
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在衬砌管片拼装过程中难免出现环端面不平整(或环缝间垫片局部脱空)的情形，进而在顶推力作用下管片容易产生局部开裂破损，严重时甚至危及衬砌结构安全。鉴于此，以衬砌管片抗剪原型试验为基础，在ABAQUS数值分析平台上建立P2型标准块管片的精细化模型，管片上部设置千斤顶靴板，底部设置垫片并使右侧垫片脱空。在靴板上逐级施加均布荷载，以分析局部脱空情况下衬砌管片在逐级顶推力作用下的力学响应，探讨环端面不平整条件下衬砌管片的裂缝发展过程及抗剪承载特性。数值模拟结果表明：顶推力加载至850 kN，管片脱空端竖向位移达到2 mm，管片内弧面上部出现第1道裂缝，内置钢筋仍处于弹性阶段；加载至1 120 kN，脱空端竖向位移达到6 mm，内弧面上出现2道新裂缝，同时第1道裂缝进一步扩展形成内外贯穿性裂缝，即管片裂缝发展过程大致为内弧面→上环端面→外弧面，且裂缝附近上层纵向钢筋达到屈服强度；考虑到内外贯穿裂缝给衬砌管片带来较大渗漏水隐患，认为P2型标准块管片的抗剪承载力(即屈服荷载)约为1 120 kN。将数值模拟结果与原型试验结果进行对比，二者所得管片裂缝分布与扩展规律大致一致，抗剪承载力基本相符，验证了数值模拟结果的可靠性。研究成果可为盾构隧道的衬砌设计与掘进施工提供参考依据。
Keyword ：
原型试验 原型试验 数值模拟 数值模拟 环端面不平整 环端面不平整 盾构隧道 盾构隧道 管片抗剪承载特性 管片抗剪承载特性
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| GB/T 7714 | 关振长 , 杨泽龙 , 宁茂权 et al. 环端面不平整条件下衬砌管片抗剪承载特性研究 [J]. | 铁道科学与工程学报 , 2024 , 21 (04) : 1533-1543 . |
| MLA | 关振长 et al. "环端面不平整条件下衬砌管片抗剪承载特性研究" . | 铁道科学与工程学报 21 . 04 (2024) : 1533-1543 . |
| APA | 关振长 , 杨泽龙 , 宁茂权 , 刘浩 , 郑路 . 环端面不平整条件下衬砌管片抗剪承载特性研究 . | 铁道科学与工程学报 , 2024 , 21 (04) , 1533-1543 . |
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Axis deviation during shield tunneling may cause quality and safety problems, such as segment dislocation and cracking. Therefore, the shield attitude must be accurately predicted and effectively controlled. An intelligent prediction model and control method for shield attitude based on machine learning are proposed in this study. First, a shield attitude prediction model based on Bayesian optimization (BO) and support vector regression (SVR) is established using monitored construction data. The nonlinear relationship among construction parameters, stratum information, and shield attitude is revealed. Second, using the simulated annealing(SA) algorithm, the shield attitude control method for the dynamic adjustment of controllable construction parameters is proposed and applied in the engineering practice of the South Park station-Sancha Street station section of the Binhai express in Fuzhou, China. Some conclusions are drawn: (1) After data preprocessing, feature screening, and BO hyperparameter optimization, the SVR-based shield attitude prediction model demonstrates excellent prediction performance and generalization ability. (2) It is important to set some optimization rules reasonably within the SA algorithm to ensure the operability of the recommended controllable construction parameters. (3) The application of the proposed control method in the case study shows that the vertical deviation of the shield tail is reduced from 45 mm to 18 mm during the successive 10-ring tunneling process, realizing a continuous and stable deviation correction. © 2024 Editorial Office of Tunnel Construction. All rights reserved.
Keyword ：
construction parameter adjustment construction parameter adjustment machine learning machine learning shield attitude control shield attitude control shield attitude prediction shield attitude prediction shield tunnel shield tunnel
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| GB/T 7714 | Guan, Z. , Xie, L. , Zhou, Y. et al. Prediction Model and Control Method for Shield Attitude Based on Machine Learning; [基于机器学习的盾构姿态预测模型与控制方法研究] [J]. | Tunnel Construction , 2024 , 44 (10) : 2032-2040 . |
| MLA | Guan, Z. et al. "Prediction Model and Control Method for Shield Attitude Based on Machine Learning; [基于机器学习的盾构姿态预测模型与控制方法研究]" . | Tunnel Construction 44 . 10 (2024) : 2032-2040 . |
| APA | Guan, Z. , Xie, L. , Zhou, Y. , Luo, S. , Xu, C. . Prediction Model and Control Method for Shield Attitude Based on Machine Learning; [基于机器学习的盾构姿态预测模型与控制方法研究] . | Tunnel Construction , 2024 , 44 (10) , 2032-2040 . |
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以典型4车道公路隧道为原型,开展缩尺模型的静力推覆试验,重点关注地层位移、地层裂缝、围岩压力随推覆位移的发展规律,并与 2 车道隧道的试验结果展开对比.试验结果表明:(1)地层以起拱线为界发生相反方向位移进而产生裂缝,因此计算模型中起裂点位置应由边墙底部修正为起拱线处.(2)地层在推覆作用下沿隧道环向平顺滑移且大角度偏转倾斜,因此计算模型中潜在滑移面应由恒定竖直修正为线性倾斜.在此基础上,探讨了围岩压力计算模型假定在4车道隧道中的适用性,提出适用于 4 车道公路隧道的围岩压力修正计算模型.研究成果可为 4 车道公路隧道的抗震计算/验算提供试验依据与技术支撑,为围岩压力计算模型的进一步完善提供参考.
Keyword ：
4车道公路隧道 4车道公路隧道 修正计算模型 修正计算模型 围岩压力 围岩压力 缩尺模型试验 缩尺模型试验 静力推覆试验 静力推覆试验
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| GB/T 7714 | 卢钦武 , 陈智威 , 关振长 et al. 基于静力推覆试验的4车道公路隧道围岩压力计算模型研究 [J]. | 岩土力学 , 2024 , 45 (11) : 3315-3323 . |
| MLA | 卢钦武 et al. "基于静力推覆试验的4车道公路隧道围岩压力计算模型研究" . | 岩土力学 45 . 11 (2024) : 3315-3323 . |
| APA | 卢钦武 , 陈智威 , 关振长 , 蔡建国 , 杨志伟 . 基于静力推覆试验的4车道公路隧道围岩压力计算模型研究 . | 岩土力学 , 2024 , 45 (11) , 3315-3323 . |
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为避免盾构轴线偏离引发衬砌管片错台、开裂等质量与安全问题,提出一种基于机器学习算法的盾构姿态智能预测模型与控制方法.以盾构掘进施工的实测数据为驱动,通过贝叶斯优化(BO)与支持向量回归(SVR)构建盾构姿态预测模型,挖掘施工参数-地层信息-盾构姿态三者间的非线性关系.结合模拟退火算法(SA)形成可控施工参数动态调整的盾构姿态控制方法,并将其应用于福州滨海快线南—三区间隧道的工程实践.主要结论如下:1)经数据预处理、特征筛选及BO超参数优化,基于SVR的盾构姿态预测模型具备优异的预测性能和泛化能力;2)结合SA算法进行可控施工参数调整时,需设置合理的优化规则,以确保所推荐的可控施工参数具备可操作性;3)将姿态控制方法应用于南—三区间后续掘进施工以辅助纠偏,盾尾垂直偏差在10环掘进过程中由45 mm减至18 mm,实现了连续稳定纠偏.
Keyword ：
施工参数调整 施工参数调整 机器学习 机器学习 盾构姿态控制 盾构姿态控制 盾构姿态预测 盾构姿态预测 盾构隧道 盾构隧道
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| GB/T 7714 | 关振长 , 谢立夫 , 周宇轩 et al. 基于机器学习的盾构姿态预测模型与控制方法研究 [J]. | 隧道建设（中英文） , 2024 , 44 (10) : 2032-2040 . |
| MLA | 关振长 et al. "基于机器学习的盾构姿态预测模型与控制方法研究" . | 隧道建设（中英文） 44 . 10 (2024) : 2032-2040 . |
| APA | 关振长 , 谢立夫 , 周宇轩 , 罗嵩 , 许超 . 基于机器学习的盾构姿态预测模型与控制方法研究 . | 隧道建设（中英文） , 2024 , 44 (10) , 2032-2040 . |
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Obtaining the three-dimensional (3D) shape of gravel particles is essential for calculating their roundness and sphericity. However, cost-effective, and rapid non-penetrating 3D imaging technologies, such as 3D laser scanners, stereophotography, and structured light techniques, only capture the geometric shape of the upper half particles (2.5D particles), unable to penetrate a particle to acquire the shape of the lower half. Current algorithms cannot accurately classify real 3D particles using easily available and low-cost 2.5D particles. To address this issue, this study aims to develop a dynamic graph edge convolution neural network (DGECNN) based on deep learning, utilizing 2.5D point clouds to characterize and classify the roundness and sphericity of 3D particles. The dataset comprises 4200 2.5D point clouds labeled into 12 roundness-sphericity categories based on corresponding complete 3D particle characterizations. Experimental results demonstrate that with a sampling point of 1200 and a batch size of 64, the training time is relatively shorter, and the automatic classification accuracy reaches a peak of 90.76%. Finally, compared to the traditional 3D CG method, the DGECNN classification is equally applicable to sand-size particles and exhibits significant advantages in roundness-sphericity, volume, surface area, and convex hull volume.
Keyword ：
Deep learning Deep learning Dynamic graph Dynamic graph Edge convolution Edge convolution Particle shape classification Particle shape classification Stereophotography Stereophotography
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| GB/T 7714 | Xi, Junbo , Gao, Lin , Zheng, Junxing et al. Gravel Particle Shape Classification from Half-Particle Point Clouds using a Dynamic Graph Edge Convolution Neural Network [J]. | COMPUTERS AND GEOTECHNICS , 2024 , 179 . |
| MLA | Xi, Junbo et al. "Gravel Particle Shape Classification from Half-Particle Point Clouds using a Dynamic Graph Edge Convolution Neural Network" . | COMPUTERS AND GEOTECHNICS 179 (2024) . |
| APA | Xi, Junbo , Gao, Lin , Zheng, Junxing , Wang, Dong , Wang, Gezhou , Guan, Zhenchang et al. Gravel Particle Shape Classification from Half-Particle Point Clouds using a Dynamic Graph Edge Convolution Neural Network . | COMPUTERS AND GEOTECHNICS , 2024 , 179 . |
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High stress in surrounding rock will lead to serious problems,e.g.,rock burst in hard rock and large defor-mation in soft rock.The applied support system under high in-situ stress conditions should be able to carry high load and also accommodate large deformation without experiencing severe damage.In this paper,a specially designed energy-absorbing component for rock bolt and cable that can solve the above problems was proposed.The energy-absorbing component can provide support resistance by plastic deformation of the metal including constraint annulus and compression pipe.For practical engineering,two forms were proposed.One was installed in the surrounding rock by reaming,and the other was installed directly outside the surrounding rock.During the dilation of the surrounding rock,the relative displacement of constraint annulus and compression pipe occurs,resulting in deformation resistance.Deformation resistance is transmitted to the rock bolt or cable,providing support resistance.The lab test and numerical simulation showed that the energy-absorbing component can perfectly achieve the large deformation effect,the deformation amount is as high as 694 mm,and the bearing capacity is stable at 367 kN.The field application tests were carried out in the mining roadway of Xinjulong coal mine,and the results showed that the new type of cable can ensure itself not to break under the condition of large deformation of the surrounding rock.The energy-absorbing component has the superiorities of perform-ing large constant resistance and controllable deformation to effectively control the unpredictable disas-ters such as large deformation in soft rock and rock burst in hard rock encountered in deep strata.
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| GB/T 7714 | Xuezhen Wu , Mingzhu Zhao , Qing Ye et al. A new deformable cable for rock support in high stress tunnel:Steel pipe shrinkable energy-absorbing cable [J]. | 矿业科学技术学报（英文版） , 2024 , 34 (8) : 1083-1093 . |
| MLA | Xuezhen Wu et al. "A new deformable cable for rock support in high stress tunnel:Steel pipe shrinkable energy-absorbing cable" . | 矿业科学技术学报（英文版） 34 . 8 (2024) : 1083-1093 . |
| APA | Xuezhen Wu , Mingzhu Zhao , Qing Ye , Yujing Jiang , Tao Deng , Hanfang Zheng et al. A new deformable cable for rock support in high stress tunnel:Steel pipe shrinkable energy-absorbing cable . | 矿业科学技术学报（英文版） , 2024 , 34 (8) , 1083-1093 . |
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为探究充填物厚度和锚固结构联合作用对节理岩体剪切特性的影响，开展室内剪切试验和离散元数值模拟研究。首先制备类岩石材料节理试件进行室内剪切试验，结果表明，锚固结构在破坏前可显著提高节理岩体试件的峰值剪应力；随着充填物厚度增大，节理岩体试件的峰值剪应力减小，而锚杆的极限剪切位移会增大。建立不同充填物厚度的锚固充填节理数值模型，通过数值模拟进一步分析法向应力与锚固结构对剪切位移、峰值剪应力、法向位移、细观裂纹的影响。宏观结果表明法向应力越小，法向位移越大即剪胀越明显，且加锚试件的法向位移会高于无锚试样。细观结果则显示出试样的总裂纹数量随法向应力的增大而增大，且加锚试样的总裂纹数量明显高于无锚杆试样。
Keyword ：
充填厚度 充填厚度 剪切试验 剪切试验 微观裂纹 微观裂纹 离散元 离散元 锚杆 锚杆
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| GB/T 7714 | 吴学震 , 郑含芳 , 蒋宇静 et al. 锚固充填节理剪切试验与数值模拟研究 [J]. | 工程地质学报 , 2024 , 32 (05) : 1814-1824 . |
| MLA | 吴学震 et al. "锚固充填节理剪切试验与数值模拟研究" . | 工程地质学报 32 . 05 (2024) : 1814-1824 . |
| APA | 吴学震 , 郑含芳 , 蒋宇静 , 关振长 , 缪圆冰 . 锚固充填节理剪切试验与数值模拟研究 . | 工程地质学报 , 2024 , 32 (05) , 1814-1824 . |
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