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Towards intelligent shield position control: A novel offline reinforcement learning framework with SCA-MOPCEO integration 面向智能盾构位置控制:基于SCA-MOPCEO集成的新型离线强化学习框架
IF 6.9 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-31 DOI: 10.1016/j.tust.2026.107468
Jiajie Zhen, Fengwen Lai, Ming Huang, Jim S. Shiau, Junjie Zheng, Zhen Hua
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引用次数: 0
Instability analysis of circumferential and radial yielding structures in high in-situ stress soft rock tunnels based on polyurethane foam 基于聚氨酯泡沫的高地应力软岩巷道周向和径向屈服结构失稳分析
IF 6.9 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-31 DOI: 10.1016/j.tust.2025.107399
Jimeng Feng, Yifei Li, Jianchi Ma, Jiacheng Song, Bo Wang, Junru Zhang, Zhijian Yan, Hongtao Li
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引用次数: 0
Responses and failure characteristics of rock containing a circular hole under multi-path coupled true triaxial loading and unloading 含圆孔岩石多径耦合真三轴加卸载响应及破坏特征
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-31 DOI: 10.1016/j.tust.2026.107498
Shaofeng Wang , Yin Xiao , Zilong Zhou , Shanyong Wang
A series of true triaxial loading and unloading tests were conducted on cubic rock specimens (100 mm × 100 mm × 100 mm) containing circular holes (30 mm) to comprehensively understand the influence of the hole orientation and stress path on the mechanical response and failure characteristics of rock subjected to excavation-induced disturbances. A true triaxial electrohydraulic servo testing system was improved to enable loading and unloading through an internal hole. The experiments included true triaxial compression tests with holes oriented in different directions; true triaxial internal hole loading and unloading tests with holes oriented in the most dangerous direction; and uniaxial compression, triaxial compression, and true triaxial internal and external hole loading–unloading tests with holes oriented in the safest direction. The study found that rock specimens with holes oriented along the intermediate principal stress direction were most prone to failure, whereas those with holes oriented along the maximum principal stress direction were the most stable. Under internal hole loading–unloading conditions, the rock exhibited enhanced plasticity during failure, and the severity of rock failure increased with increasing complexity of the stress path. When the hole is aligned along the minimum and intermediate principal stresses, rock failure near the hole wall progresses through four stages: microcrack initiation, crack propagation and local spalling, V-shaped notch formation, and complete failure. When the hole is aligned along the maximum principal stress, the process includes circumferential crack initiation, crack propagation, circumferential spalling failure, and hole fracturing failure.
通过对含圆孔(30 mm)的立方岩样(100 mm × 100 mm × 100 mm)进行真三轴加卸载试验,全面了解圆孔方向和应力路径对开挖扰动下岩石力学响应和破坏特征的影响。改进了真三轴电液伺服测试系统,使其能够通过内孔进行加载和卸载。实验包括不同方向孔洞的真三轴压缩试验;孔在最危险方向的真三轴内孔加载与卸载试验在最安全方向进行单轴压缩、三轴压缩和真三轴内外孔加载卸载试验。研究发现,沿中间主应力方向开孔的岩样最容易破坏,沿最大主应力方向开孔的岩样最稳定。在孔内加卸载条件下,岩石在破坏过程中表现出增强的塑性,并且随着应力路径复杂性的增加,岩石破坏的严重程度也随之增加。当孔沿最小主应力和中间主应力方向排列时,孔壁附近岩石破坏经历了微裂纹萌生、裂纹扩展和局部剥落、v形缺口形成和完全破坏四个阶段。当孔沿最大主应力方向排列时,该过程包括周向裂纹萌生、裂纹扩展、周向剥落破坏和孔破裂破坏。
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引用次数: 0
New cutting tool wear testing method for evaluating the influence of foam additive on plowing effect during shield TBM tunnelling in dense sandy gravel ground 评价泡沫添加剂对盾构掘进机在密砂砾石地层中掘进效果影响的刀具磨损试验新方法
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-30 DOI: 10.1016/j.tust.2026.107499
Shao-Hui Tang , Xiao-Ping Zhang , Quan-Sheng Liu , Yu-Cong Pan , Wei-Qiang Xie , Xin-Fang Li , Hao-Jie Wang
When shield TBM tunnelling in abrasive sandy gravel ground, the higher ripper tooth plows the excavation surface, and then the lower scraper cuts the loose sandy gravel. The plowing effect refering to the mitigation of ripper tooth on scraper wear by loosing the dense sandy gravel is related to cutter height difference, inherent soil properties and foam additive parameters. However, the previous studies focus mainly on the former two factors, and the influence mechanisms of foam additives on the plowing effect are unclear. To fulfill the evaluation of plowing effect under various foam additive conditions, the WHU-SAT test apparatus that can continuously change cutter height difference was developed. The plowing coefficient was proposed to quantify the plowing effect of ripper tooth on dense sandy gravel ground. The variations in plowing coefficient, ripper tooth wear and modelled cutterhead torque with foam additive parameters were analyzed under various cutter height difference conditions. The influence mechanisms of solution concentration and injection ratio on plowing effect were revealed based on particle contact analysis. Cutter height difference and foam additive parameters were optimized for abrasive sandy gravel ground tunnelling. The results indicate that under the lubrication of active material on particle surface and the cushion of air bubble on particle contact, the plowing coefficient increases rapidly and then slowly with increasing solution concentration and injection ratio. The ripper tooth wear and modelled cutterhead torque decrease first rapidly and then slowly with increasing solution concentration, while they decrease first and then stabilize with increasing injection ratio. The optimal cutter height difference stabilizes with solution concentration, while it decreases first and then stabilizes with increasing injection ratio. The present study provides a reference for optimizing cutter height difference and foam additive parameters in abrasive sandy gravel ground tunnelling using shield TBM.
盾构掘进机在磨蚀砂砾地层中掘进时,上部的开刀齿刨开开挖面,下部的刮板切割松散的砂砾。通过松散密砂砾石来缓解撕裂齿对刮板磨损的犁削效果与刀高差、固有土性和泡沫添加剂参数有关。然而,以往的研究主要集中在前两个因素上,泡沫添加剂对耕地效果的影响机制尚不清楚。为评价不同泡沫添加剂条件下的耕地效果,研制了可连续改变刀具高度差的WHU-SAT试验装置。提出了用犁耕系数来量化开刀齿在密砂砾石地面上的犁耕效果。分析了不同刀具高度差条件下,泡沫添加剂参数对犁耕系数、撕裂齿磨损和模拟刀盘扭矩的影响。在颗粒接触分析的基础上,揭示了溶液浓度和注入比对犁耕效果的影响机理。对磨料砂砾地面隧道掘进的刀具高度差和泡沫添加剂参数进行了优化。结果表明:在活性物质对颗粒表面的润滑和颗粒接触处气泡的缓冲作用下,随着溶液浓度和注入比的增加,犁耕系数先增大后减慢;随着溶液浓度的增加,撕裂齿磨损和模拟刀盘扭矩先快速减小后缓慢减小,随着注入比的增加,先减小后趋于稳定。最佳切削高度差随溶液浓度的增加而趋于稳定,随注入比的增加先减小后稳定。本研究为盾构机砂砂砾石地面隧道掘进中刀具高度差和泡沫添加剂参数的优化提供了参考。
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引用次数: 0
A study on the impact of tunnel cross-sectional shape on the accidental dispersion and explosion characteristics of hydrogen 隧道截面形状对氢气意外扩散和爆炸特性影响的研究
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-30 DOI: 10.1016/j.tust.2026.107462
Lei Baiwei , Guo Zekai , Li Xiaotang , Guo Changna
To analyze the impact of different tunnel cross-sectional geometries on the accidental dispersion and explosion characteristics of hydrogen, In this study, we utilize the CFD tool GASFLOW-MPI to numerically simulate the leakage, dispersion, and combustion of hydrogen in a full-scale tunnel. Two different tunnel cross-sectional structures are considered: arched roof tunnel and trapezoidal roof tunnel. The DES turbulence models simulate the hydrogen leakage and combustion processes. The characteristics of hydrogen dispersion distribution, concentration stratification, flame acceleration zones, etc., under different tunnel structures are compared and analyzed. Additionally, the peak overpressure generated by hydrogen explosion under both tunnel structures is calculated. The results show that the arched roof tunnel has a wider dispersion range in the tunnel length direction, promoting the mixing of a larger amount of hydrogen with fresh air. However, the arched roof tunnel top is also more prone to forming high-concentration hydrogen accumulation zones in local areas, posing a risk of flame acceleration and detonation transition. The trapezoidal roof tunnel has a larger dispersion distance in the vertical and tunnel width directions, resulting in a more uniform mixing of the hydrogen cloud, and the risk of deflagration-to-detonation transition is relatively lower. The damage to the tunnel structure and personnel caused by the deflagration overpressure of the dispersed hydrogen cloud was evaluated. The results show that the arched roof tunnel has a larger range and more severe overpressure and high-temperature damage to the tunnel structure and equipment in the top space. The middle and lower spaces of the trapezoidal roof tunnel cause more damage to the personnel located there. This study can provide theoretical support for improving the prevention of hydrogen leakage accidents in highway tunnels, the ability to respond to emergencies, and tunnel design and management.
为了分析不同的隧道截面几何形状对氢气意外扩散和爆炸特性的影响,本研究利用CFD工具GASFLOW-MPI对全尺寸隧道中氢气的泄漏、扩散和燃烧进行了数值模拟。考虑了两种不同的隧道断面结构:拱顶隧道和梯形隧道。DES湍流模型模拟了氢气泄漏和燃烧过程。对比分析了不同隧道结构下氢气弥散分布、浓度分层、火焰加速带等特征。并对两种隧道结构下氢气爆炸产生的峰值超压进行了计算。结果表明:拱顶隧道在隧道长度方向上具有更大的弥散范围,促进了大量氢气与新鲜空气的混合;然而,拱顶巷道顶部也更容易在局部区域形成高浓度的氢气聚集区,存在火焰加速和爆轰过渡的风险。梯形顶板巷道在垂直方向和巷道宽度方向上弥散距离较大,使得氢云混合更加均匀,爆燃-爆轰过渡的风险相对较低。对分散氢云爆燃超压对隧道结构和人员的危害进行了评估。结果表明:拱顶巷道顶部结构和设备的超压和高温损伤范围更大,损伤程度更严重;梯形顶板巷道的中下部空间对位于其中的人员造成较大的伤害。本研究可为提高公路隧道氢气泄漏事故的预防、应急响应能力和隧道设计管理水平提供理论支持。
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引用次数: 0
Influence of disturbance frequency on rockburst in circular openings: insights from cyclic loading experiments 扰动频率对圆孔岩爆的影响:来自循环加载试验的见解
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-30 DOI: 10.1016/j.tust.2026.107497
Yang Wang , Murat Karakus , Manchao He , Dongqiao Liu
Rockbursts induced by cyclic loading are a major hazard in deep underground excavations. Among the influencing factors, the cyclic loading frequency (fc), typically generated by blasting or mechanical excavation, plays a critical role in controlling the initiation and progression of rockbursts. In this study, true triaxial rockburst experiments were conducted on sandstone specimens containing a circular opening to investigate the frequency-dependent failure characteristics. Four values of fc (0.25, 0.5, 0.75, and 1 Hz) were applied, and the failure processes were monitored using real-time video recording and acoustic emission (AE) techniques. The evolution of energy release, velocity fields, and AE spatial distribution was quantitatively analyzed. Post-failure fragments were further examined using scanning electron microscopy (SEM) to assess internal damage. The results indicate that although the total input energy remained nearly constant, higher fc significantly increased the energy release rate and fragment ejection velocity. SEM observations reveal that increasing fc leads to a higher pore density and more pronounced pore connectivity. Image-based porosity analysis shows a clear increasing trend, reflecting progressive internal degradation. The development and accumulation of these pores accelerate strength deterioration, which promotes the earlier intersection of the Mohr stress circle with the weakened Mohr–Coulomb failure envelope, thereby advancing failure onset . The results demonstrate the critical role of disturbance frequency in rockburst triggering, enabling more effective control of excavation disturbances in underground construction.
循环荷载引起的岩爆是深埋地下工程的主要灾害之一。在影响因素中,爆破或机械开挖产生的循环荷载频率(fc)对岩爆的发生和发展起着关键的控制作用。本文对含圆形开口的砂岩试样进行了真三轴岩爆试验,探讨了其频率相关破坏特征。采用4个fc值(0.25、0.5、0.75和1 Hz),并使用实时视频记录和声发射(AE)技术监测失效过程。定量分析了能量释放、速度场和声发射空间分布的演变过程。失效后的碎片使用扫描电子显微镜(SEM)进一步检查以评估内部损伤。结果表明,虽然总输入能量基本保持不变,但较高的fc显著提高了能量释放速率和破片弹射速度。SEM观察表明,fc的增加导致孔隙密度增大,孔隙连通性更明显。基于图像的孔隙度分析显示出明显的增加趋势,反映了内部的逐步降解。这些孔隙的发育和积累加速了强度的劣化,促进了Mohr应力圈与减弱的Mohr - coulomb破坏包络线的早交,从而提前了破坏的发生。研究结果表明,扰动频率在岩爆触发中起着至关重要的作用,可以更有效地控制地下施工中的开挖扰动。
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引用次数: 0
Principle analysis and device development of a novel technology for preventing lockset failure and cable bolt ejection 一种防止锁套失效和电缆螺栓弹射新技术的原理分析和装置研制
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-29 DOI: 10.1016/j.tust.2025.107384
Housheng Jia , Zhiming Zhang , Yanxi Gao , Mengxiong Fu , Guoying Wang , Chao Li , Bo Peng , Wenyuan Jiang
To address the failure of cable bolt locksets under frequent surrounding rock vibrations, this study focuses on the mining roadway with rock burst hazards in the B2 coal seam of the Kuangou Coal Mine. A surrounding rock vibration simulation device (SRVS) was developed through theoretical analysis, numerical simulation, laboratory testing, and field experiments. The SRVS was used to investigate mechanisms of cable bolt lockset failure. A novel technology for preventing lockset failure and cable bolt ejection was proposed, and the operational principle of this technology was analyzed. The study identifies frequent low-energy vibrations as the root cause of the progressive loosening and eventual failure of locksets, with there being a positive linear correlation between the vibration frequency and lockset failure rate. Introducing a small anti-retreat force below the lockset improves its locking performance. For instance, applying a 100 N anti-retreat force increases the lockset’s failure thrust by 152 kN—a 48 % improvement. Based on these findings, an integrated device for preventing lockset failure and cable bolt ejection (DPFE), primarily comprising an anti-retreat device and anti-eject structure, was developed. The device applies an anti-retreat force to the lockset while increasing the outer diameter of the cable bolt below the lockset, further preventing the lockset from loosening, greatly improving the locking force of the lockset, preventing the lockset from failing, and preventing the broken cable bolt from ejecting. Engineering comparative tests conducted on the mining roadway of the I010206 working face in the B2 coal seam of the Kuangou Coal Mine showed that 17 % of cable bolts without the DPFE experienced lockset slippage or drop. In contrast, bolts equipped with the DPFE showed no signs of lockset failure throughout the mining process.
为解决围岩频繁振动作用下锚杆锁组失效问题,以宽沟煤矿B2煤层具有冲击地压危险的开采巷道为研究对象。通过理论分析、数值模拟、室内试验和现场试验,研制了围岩振动模拟装置。采用SRVS研究了锚杆锁组失效机理。提出了一种防止锁套失效和电缆螺栓弹射的新技术,并分析了该技术的工作原理。研究发现,频繁的低能量振动是锁组逐渐松动和最终失效的根本原因,振动频率与锁组故障率之间存在正线性相关关系。在锁具下方增加一个小的防后退力,提高了锁具的性能。例如,施加100牛的反撤退力会使锁组的失败推力增加152牛-提高48%。基于这些发现,开发了一种防止锁套失效和电缆螺栓弹射的集成装置(DPFE),主要包括防后退装置和防弹射结构。该装置在增大锁套下方电缆螺栓外径的同时,对锁套施加防后退力,进一步防止锁套松动,大大提高了锁套的锁紧力,防止了锁套失效,防止了断缆螺栓弹射。对宽沟煤矿B2煤层I010206工作面回采巷道进行的工程对比试验表明,未加DPFE的锚杆有17%出现锁套滑移或下降现象。相比之下,安装了DPFE的螺栓在整个开采过程中没有出现锁紧失效的迹象。
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引用次数: 0
Optimized CNN-BiLSTM-Attention with hybrid signal denoising: a novel interpretable framework for prediction of shield tunneling advance speed 基于混合信号去噪的CNN-BiLSTM-Attention优化:盾构掘进速度预测的新解释框架
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-28 DOI: 10.1016/j.tust.2026.107471
Wei Jin , Kangping Gao , Chengyao Liu
To address the challenges of insufficient prediction accuracy and poor stability of shield tunneling advance speed (AS), this study proposes an intelligent prediction framework based on deep learning. First, a comprehensive data preprocessing strategy is applied, integrating boxplot-based outlier removal, sliding-window smoothing, and a hybrid denoising method combining ensemble empirical mode decomposition (EEMD) with sample entropy-weighted wavelet thresholding. This strategy effectively corrects raw monitoring data, enhances stationarity and signal-to-noise ratio, with its efficacy confirmed through ablation experiments. Subsequently, four key input features are selected from multi-source TBM operational parameters using Pearson correlation analysis. Building upon this, a novel CNN-BiLSTM-Attention model is constructed by synergistically integrating convolutional neural networks (CNN), bidirectional long short-term memory (BiLSTM) networks, and an attention mechanism. This architecture facilitates the collaborative extraction of local spatial features and the modeling of long-term temporal dependencies. Furthermore, the Optuna framework is introduced for automated hyperparameter optimization to configure the model structure. Results demonstrate that the optimized model achieves significant performance improvements: the coefficient of determination (R2) and variance accounted for (VAF) increase from 0.84 to 0.94, while the root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) decrease by 0.61, 0.49, and 1.42%, respectively. Compared to benchmark models such as GA-LightGBM, CNN-LSTM, and XGBoost, the proposed model demonstrates superior performance, with R2 and VAF improving by at least 0.11, and RMSE, MAE, and MAPE decreasing by at least 0.63, 0.33, and 1.13%, respectively. The proposed model also slightly outperforms more advanced Transformer models. SHAP interpretability analysis confirms the validity of the feature selection and quantifies parameter contributions, identifying cutterhead penetration and torque as the most influential factors for advance speed prediction. Overall, the proposed model demonstrates stable and superior performance in terms of prediction accuracy and generalization capability.
针对盾构掘进速度预测精度不高、稳定性差的问题,提出了一种基于深度学习的智能预测框架。首先,采用了一种综合的数据预处理策略,将基于箱线图的离群值去除、滑动窗口平滑和集成经验模态分解(EEMD)与样本熵加权小波阈值相结合的混合去噪方法结合起来。该策略有效地校正了原始监测数据,提高了平稳性和信噪比,并通过烧蚀实验验证了其有效性。随后,利用Pearson相关分析从多源掘进机运行参数中选择4个关键输入特征。在此基础上,将卷积神经网络(CNN)、双向长短期记忆(BiLSTM)网络和注意机制协同集成,构建了一种新的CNN-BiLSTM-注意力模型。该体系结构促进了局部空间特征的协同提取和长期时间依赖性的建模。在此基础上,引入Optuna框架进行超参数自动优化,配置模型结构。结果表明,优化后的模型取得了显著的性能提升,决定系数(R2)和方差占比(VAF)由0.84提高到0.94,均方根误差(RMSE)、平均绝对误差(MAE)和平均绝对百分比误差(MAPE)分别降低了0.61、0.49和1.42%。与GA-LightGBM、CNN-LSTM和XGBoost等基准模型相比,该模型表现出更优的性能,R2和VAF提高了至少0.11,RMSE、MAE和MAPE分别降低了至少0.63、0.33和1.13%。所提出的模型也略优于更先进的Transformer模型。SHAP可解释性分析证实了特征选择的有效性,并量化了参数的贡献,确定刀盘贯入和扭矩是影响提前速度预测的最重要因素。总体而言,该模型在预测精度和泛化能力方面表现出稳定和优越的性能。
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引用次数: 0
Unified nonlinear modelling of longitudinal equivalent bending stiffness for circular and non-circular shield tunnels 圆形和非圆形盾构隧道纵向等效弯曲刚度的统一非线性建模
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-28 DOI: 10.1016/j.tust.2026.107485
Xumin Huang , Linchong Huang , Yu Liang , Yanli Zhang , Zuxian Wang , Yuyong Jiao , Wengang Zhang
The longitudinal equivalent bending stiffness (LEBS) governs the deformation behavior of shield tunnels. Conventional methods for determining LEBS, however, are restricted in both universality and computational efficiency by their dependence on specific geometric equations of the tunnel cross-section for internal force integration. Through discretization and numerical integration, this paper introduces a unified circumferential joint fiber section model (U-CJFM) to evaluate the nonlinear LEBS of a tunnel with arbitrary cross-sections, enabling the identification of joint bending modes via the relative positions of the neutral and yield axes. Validation against experimental and analytical results for tunnels with circular, quasi-rectangular (QR), and double-O-tube (DOT) cross-sections confirms the accuracy of U-CJFM, with computational efficiency improved by factors of 11.5, 8.1, and 5.7, respectively. Parametric analysis demonstrates the model’s ability to uniformly characterize the nonlinear bending evolution of the tunnel joint under different interface states. When the influence range factor of the circumferential joint (λ) is within the internal [0,1], the longitudinal equivalent bending stiffness efficiency (η) decreases significantly with the increase of λ. When λ exceeds 1, η remains stable while the neutral axis shifts downward. With the increase of the height-width ratio of tunnel cross-sections, the stiffness efficiency η and the compression area of the joint increase, especially under partial contact conditions. Post-yield constitutive behavior of the joint bolt is decisive for stiffness efficiency η, as it declines sequentially with hardening, ideal, and softening constitutive models. Under the identical functional requirements, the quasi-rectangular section demonstrates superior space utilization, and the circular section exhibits optimal bending resistance. This work provides a theoretical basis for predicting the nonlinear longitudinal responses and assessing the safety of shield tunnels with diverse cross-sections.
纵向等效抗弯刚度(LEBS)控制着盾构隧道的变形行为。然而,传统的确定LEBS的方法在通用性和计算效率上都受到限制,因为它们依赖于隧道截面的特定几何方程来进行内力积分。通过离散化和数值积分,提出了一种统一的周向节点纤维截面模型(U-CJFM)来评估任意截面隧道的非线性LEBS,通过中立轴和屈服轴的相对位置来识别节点的弯曲模式。对圆形、准矩形(QR)和双o形管(DOT)断面隧道的实验和分析结果验证了U-CJFM的准确性,计算效率分别提高了11.5、8.1和5.7倍。参数分析表明,该模型能较好地表征不同界面状态下隧道节理的非线性弯曲演化。当周向节点影响范围因子λ在内[0,1]范围内时,纵向等效抗弯刚度效率η随λ的增大而显著降低。当λ大于1时,η保持稳定,中性轴向下移动。随着隧道断面高宽比的增大,节理的刚度效率η和压缩面积增大,特别是在部分接触条件下。结合螺栓屈服后的本构行为对刚度效率η起决定性作用,因为它在硬化、理想和软化本构模型中依次下降。在相同的功能要求下,准矩形截面具有较好的空间利用率,圆形截面具有较好的抗弯性能。为不同断面盾构隧道的非线性纵向响应预测和安全性评估提供了理论依据。
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引用次数: 0
Development of a predictive, risk-based model to assess the effects of maintenance decisions on vertical mine shaft structures 开发基于风险的预测模型,以评估维护决策对垂直矿井结构的影响
IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2026-01-28 DOI: 10.1016/j.tust.2026.107481
J.W. Wannenburg, G.N. Ngcobo, J Wannenburg, P.S. Heyns

Purpose

The study addresses the challenge of effective long-term maintenance of the structures of vertical mine shafts. These structures face significant degradation over time due to corrosion, the impact of falling objects, and exposure to harsh environments with high humidity, chemical contamination, and poor ventilation. Current maintenance practices often prioritise short-term needs, neglecting the long-term consequences for structural integrity and operational sustainability. To bridge this gap, the research introduces a novel predictive risk-based maintenance decision-making model.

Design/methodology/approach

The model incorporates finite element analysis and Monte Carlo simulations to evaluate the failure modes caused by corrosion, fatigue and falling objects while accounting for uncertainties in degradation rates and impact probabilities. The analysis calculates the energy of falling objects and estimates corrosion rates based on environmental conditions, enabling accurate predictions of the remaining useful life (RUL) of critical steel components. This is combined with an Integrated Structural Inspection and Maintenance Management (iSIMM) system, which combines structural inspection data with Computerised Maintenance Management Systems (CMMS).

Originality/value

This model enables informed decision-making, enhancing safety, reliability, and cost-efficiency in mining operations. The research’s novelty lies in the integration of predictive and risk-based maintenance strategies, offering new insights into managing mine shaft structural integrity whilst integrating quantitative FEA-derived damage models (for impact) with stochastic, inspection-driven lifecycle simulation as a key methodological that enables the transition from qualitative inspection to predictive, risk-informed planning.

Findings

The model is used in a case study of a South African gold mine and demonstrates the practical application, showcasing its ability to optimise maintenance planning, reduce life cycle costs, and extend the lifespan of mine shafts, and to quantify the cost-risk trade-off between different multi-year maintenance strategies, a decision-support feature often missing in practice.
目的研究垂直矿井结构的长期有效维护问题。随着时间的推移,由于腐蚀、坠落物体的影响、暴露在高湿度、化学污染和通风不良的恶劣环境中,这些结构会面临严重的退化。目前的维护实践往往优先考虑短期需求,而忽视了结构完整性和操作可持续性的长期后果。为了弥补这一差距,研究引入了一种新的基于预测风险的维修决策模型。该模型结合了有限元分析和蒙特卡罗模拟,以评估由腐蚀、疲劳和坠落物体引起的失效模式,同时考虑到降解率和冲击概率的不确定性。该分析计算了坠落物体的能量,并根据环境条件估计了腐蚀速率,从而能够准确预测关键钢部件的剩余使用寿命(RUL)。这与综合结构检查和维护管理(iSIMM)系统相结合,该系统将结构检查数据与计算机维护管理系统(CMMS)相结合。原创性/价值该模型可实现明智的决策,提高采矿作业的安全性、可靠性和成本效益。该研究的新颖之处在于将预测和基于风险的维护策略相结合,为管理矿井结构完整性提供了新的见解,同时将定量有限元导出的损伤模型(用于影响)与随机、检查驱动的生命周期模拟相结合,作为一种关键方法,实现了从定性检查到预测、风险知情规划的过渡。该模型用于南非金矿的案例研究,并演示了实际应用,展示了其优化维护计划、降低生命周期成本和延长矿井寿命的能力,以及量化不同多年维护策略之间的成本风险权衡的能力,这是实践中经常缺少的决策支持特征。
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引用次数: 0
期刊
Tunnelling and Underground Space Technology
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