Underground Space最新文献_第3页

Evolution of mechanical properties of shield tunnels induced by water-soil gushing 水-土涌作用下盾构隧道力学特性演化

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-24 DOI: 10.1016/j.undsp.2024.12.008

Xiao-Chuang Xie , Dong-Mei Zhang , Ming-Liang Zhou

Water and soil gushing in shield tunnels pose a significant risk to tunnel structure safety. However, it is challenging to fully capture the evolution of the mechanical response of tunnel structures due to the limitations of conventional numerical methods in simulating large soil deformations around the tunnel due to gushing. This paper developed a coupled material point method (MPM) and finite element method (FEM) approach for water and soil gushing, where MPM was for modelling the soil deformation and FEM was for modelling the tunnel response. The developed approach was utilized to conduct the gushing-induced large deformation analyses and generate the varying soil and water pressures acting on the tunnel lining. Meanwhile, structural internal forces and joint deformations were identified based on the load-structure method. The findings suggest that the gushing process can be categorized into three stages: initial developing, rapid developing, and stable developing stages. The soil and water pressures around the gushing point decreased abruptly during the “rapid developing stage”, but the soil pressures on the tunnel crown and tunnel invert increase, causing a sharp rise in the bending moment of the lining and severe joint deformations, particularly at joints No. 2 and No. 3. Finally, the parametric analyses show that a lower gushing location, deeper tunnel depth, and higher soil shear strength will all exacerbate the influence of water-soil gushing on tunnel structural response, due to variations in the soil and water pressures acting on the tunnel lining throughout the whole process of gushing. These findings underscore the importance of revealing the evolution of tunnel responses to water-soil gushing for maintaining tunnel safety.

盾构隧道的涌水和涌土对隧道结构的安全构成重大威胁。然而，由于传统的数值方法在模拟隧道周围土体因涌水引起的大变形时存在局限性，因此难以完全捕捉隧道结构力学响应的演变过程。本文建立了土体涌水的材料点法和有限元耦合方法，其中材料点法模拟土体变形，有限元模拟隧道响应。利用该方法对隧道衬砌进行了喷流大变形分析，得到了作用在衬砌上的土、水压力的变化规律。同时，基于荷载-结构法对结构内力和节点变形进行了识别。研究结果表明，喷淋过程可分为初始发展阶段、快速发展阶段和稳定发展阶段。在“快速发展阶段”，涌点附近的土压力和水压力急剧下降，但隧道顶部和隧道仰拱处的土压力增加，导致衬砌弯矩急剧上升，节理变形严重，特别是2号和3号节理。参数分析结果表明，随着涌水位置越低、隧道深度越深、土体抗剪强度越高，由于整个涌水过程中作用在隧道衬砌上的土体和水压力的变化，会加剧水-土涌对隧道结构响应的影响。这些发现强调了揭示隧道对水-土涌反应的演变对维护隧道安全的重要性。

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引用次数: 0

EDA-TCNet: A dual-attention enhanced network for precise point cloud segmentation in tunnel construction EDA-TCNet：用于隧道施工中点云精确分割的双关注增强网络

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-15 DOI: 10.1016/j.undsp.2025.04.012

Xin Peng, Mingnian Wang, Bingxu Huang, Honglin Shen, Hao Zhong

To enhance the accuracy of point cloud semantic segmentation in tunnel face construction areas, this study proposes a novel model named enhanced dual attention-tunnel construction net (EDA-TCNet). EDA-TCNet introduces a 3D enhanced dual attention module (EDAM), which employs a parallel channel and spatial attention mechanism to strengthen the model’s focus on critical features. Additionally, a loss function named CELDAM is designed, combining cross-entropy loss and label-distribution-aware margin loss to effectively address data imbalance issues and improve the prediction capability for minority classes. Experiments conducted on three ongoing tunnel projects in Northwest China demonstrate that EDA-TCNet achieves a mean intersection over union (mIoU) of 0.8816 and an overall accuracy (OA) of 0.9406 on the test set. Compared to PointNet, PointNet++, DGCNN, and PointMLP, EDA-TCNet improves mIoU by 18.20%, 3.00%, 8.61%, and 32.23%, and OA by 15.98%, 1.74%, 5.48%, and 22.38%, respectively. Furthermore, the optimization of the balancing coefficient μ in CELDAM further enhances the model’s generalization capability. In conclusion, EDA-TCNet demonstrates exceptional performance in point cloud semantic segmentation tasks for tunnel construction areas and shows great potential for engineering applications.

为了提高隧道工作面施工区域点云语义分割的准确性，本文提出了一种新的增强双注意-隧道施工网（EDA-TCNet）模型。EDA-TCNet引入了3D增强双注意模块（EDAM），该模块采用平行通道和空间注意机制来加强模型对关键特征的关注。此外，设计了一个名为CELDAM的损失函数，结合交叉熵损失和标签分布感知的边际损失，有效地解决了数据不平衡问题，提高了对少数类的预测能力。在西北3个正在进行的隧道工程中进行的实验表明，EDA-TCNet在测试集上的平均交联（mIoU）为0.8816，总体精度（OA）为0.9406。与PointNet、pointnet++、DGCNN和PointMLP相比，EDA-TCNet的mIoU分别提高了18.20%、3.00%、8.61%和32.23%，OA分别提高了15.98%、1.74%、5.48%和22.38%。此外，CELDAM中平衡系数μ的优化进一步提高了模型的泛化能力。综上所述，EDA-TCNet在隧道施工领域的点云语义分割任务中表现出优异的性能，具有巨大的工程应用潜力。

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引用次数: 0

A hybrid review of sewer inspection tools and automated CCTV image analysis techniques 下水道检查工具和自动闭路电视图像分析技术的混合回顾

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-15 DOI: 10.1016/j.undsp.2025.06.004

Mohamed Nashat , Tarek Zayed

Maintaining the integrity of sewage networks is crucial for sustainable urban development. Despite extensive research on inspection tools, machine learning applications, and condition assessment for sewer defects, a holistic review of these elements remains absent. This paper addresses this gap by presenting a comprehensive review within a unified framework, employing a mixed-method approach that includes bibliometric, scientometric, and systematic analyses. Our findings reveal that integrating in-pipe and out-pipe inspection methods enhances outcomes. The current literature identifies modified RegNet, dilation segmentation with conditional random field (DilaSeg-CRF), you only look once (YOLO) models, and faster region-based convolutional neural network (Faster R-CNN) as effective algorithms for classification, segmentation, and object detection, both on-site and off-site, respectively. However, machine learning is an evolving field, and future algorithms may surpass these models. Identifying key challenges, we propose recommendations aimed at advancing research and enhancing replicability: notably, the expansion of international research collaborations, particularly in underrepresented regions such as the Middle East, Africa, Asia, and South America; applying the latest version of YOLOv11 in object detection; and investigating defect patterns in polyvinyl chloride (PVC) sewer and rehabilitated pipes using advanced diagnostic methods. This review anticipates aiding policymakers in adopting informed strategies, thereby contributing to the development of smarter, more sustainable cities.

保持污水管网的完整性对可持续城市发展至关重要。尽管对下水道缺陷的检测工具、机器学习应用和状态评估进行了广泛的研究，但对这些因素的全面审查仍然缺乏。本文采用文献计量学、科学计量学和系统分析的混合方法，在统一的框架内进行了全面的综述，解决了这一差距。我们的研究结果表明，整合管内和管外检测方法可以提高结果。目前的文献将改进的RegNet、条件随机场扩张分割（DilaSeg-CRF）、你只看一次（YOLO）模型和更快的基于区域的卷积神经网络（faster R-CNN）分别确定为现场和非现场分类、分割和目标检测的有效算法。然而，机器学习是一个不断发展的领域，未来的算法可能会超越这些模型。我们确定了关键挑战，提出了旨在推进研究和增强可复制性的建议：特别是扩大国际研究合作，特别是在中东、非洲、亚洲和南美洲等代表性不足的地区；应用最新版本的YOLOv11进行目标检测；并使用先进的诊断方法调查聚氯乙烯（PVC）下水道和修复管道的缺陷模式。本报告旨在帮助决策者采取明智的战略，从而为建设更智能、更可持续的城市做出贡献。

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引用次数: 0

Intelligent lithology identification via spectral-image fusion 基于光谱图像融合的智能岩性识别

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-15 DOI: 10.1016/j.undsp.2025.05.011

Zhenhao Xu, Shan Li, Peng Lin, Qianji Li

Lithology identification is of vital significance for fundamental geological research and engineering applications. Traditional methods rely on rock image features and often cause confusion among visually similar rocks. To enhance identification accuracy, spectral features are integrated to better represent rock composition. Nonetheless, spectral testing inevitably damages samples and is prone to challenges of the occurrence of similar spectra for different materials. This study explores the advantages of hyperspectral imaging technology, enabling the integration of spectral and image data without damage or contact. A novel spectral-image fusion method is proposed for lithology identification. It uses a dual-channel residual neural network that combines spectral and texture feature channels. Additionally, key features are effectively captured by spectral-spatial attention mechanisms. Finally, a customized transfer learning approach is utilized to fine-tune the pre-trained network on a small dataset for lithology identification at the tunnel site, facilitating rapid model adaptation. The research indicates that employing the ResNetX2-50 network for integrating spectral-image information yields optimal identification results, with a fusion accuracy of over 99% on the test set, which is 2 percentage points higher than the accuracy of a single spectral model and about 20 percentage points higher than the accuracy of a single texture model. Research findings provide robust technical support for non-destructive, non-contact, fast lithology identification in field investigations and construction projects.

岩性识别对基础地质研究和工程应用具有重要意义。传统的方法依赖于岩石图像特征，并且经常在视觉上相似的岩石之间造成混淆。为了提高识别精度，结合光谱特征更好地表征岩石成分。然而，光谱测试不可避免地会损坏样品，并且容易遇到不同材料出现相似光谱的挑战。本研究探讨了高光谱成像技术的优势，实现了光谱和图像数据的集成，而不损坏或接触。提出了一种新的岩性识别光谱图像融合方法。它使用了一种结合了光谱和纹理特征通道的双通道残差神经网络。此外，关键特征被光谱空间注意机制有效捕获。最后，利用定制的迁移学习方法对小数据集上的预训练网络进行微调，以便在隧道现场进行岩性识别，从而促进模型的快速适应。研究表明，采用ResNetX2-50网络对光谱图像信息进行融合，获得了最优的识别效果，在测试集上的融合精度达到99%以上，比单一光谱模型的准确率提高了2个百分点，比单一纹理模型的准确率提高了约20个百分点。研究成果为野外调查和工程建设中无损、非接触、快速岩性识别提供了有力的技术支持。

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引用次数: 0

Incorporating smart computer vision and in-drilling information into rock quality evaluation via incomplete data-driven Bayesian networks 通过不完全数据驱动的贝叶斯网络，将智能计算机视觉和钻孔信息整合到岩石质量评价中

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-15 DOI: 10.1016/j.undsp.2025.03.007

Chen Wu , Minglun Tan , Yue Tong , Hongwei Huang

Tunnelling is a challenging task due to a lack of full understanding of the surrounding rock quality. This study proposes a solution driven by a refined computer vision (CV) method, complemented by rock mass drilling tests and Bayesian networks, to address this issue through a multi-source heterogeneous data approach. Initially, improvements are made to the popular Swin Transformer to improve the recognition and segmentation of intricate rock features. Notably, refined smart CV, owing to its U-shaped architecture and smart window self-attention computation, exhibits segmentation performance superior to that of conventional CV methods such as Swin Transformer, Deeplab V3+, and UNet. Building upon the segmentation outcomes of the refined CV, a parameter set comprising apparent rock parameters is established. Then, two datasets encompassing rock internal drilling parameters and mechanics, as well as design parameters, are curated. The combination of the aforementioned parameter sets is referred to as the rock quality comprehensive evaluation dataset. However, analysis reveals data incompleteness issues within these datasets. To mitigate this problem, a novel tree-augmented Bayesian network is designed, and a prediction accuracy of 91% is realized, surpassing popular decision trees, ensemble learning, and deep learning methods. Furthermore, evaluation services are provided in mountain and submarine tunnels, suggesting that drilling parameters significantly enhance the evaluation performance. Moreover, employing two sensitivity analysis metrics underscores the prominent influence of rotating pressure and drilling speed parameters. This study endeavor presents diverse solutions for achieving precise and expeditious predictions of rock quality through various parameter sets, tailored to cater to diverse requirements of tunnels.

由于缺乏对围岩质量的充分了解，隧道掘进是一项具有挑战性的任务。本研究提出了一种由精细计算机视觉（CV）方法驱动的解决方案，辅以岩体钻探试验和贝叶斯网络，通过多源异构数据方法解决这一问题。首先，对流行的Swin Transformer进行了改进，以提高对复杂岩石特征的识别和分割。值得注意的是，精细化的智能CV由于其u型架构和智能窗口自关注计算，其分割性能优于Swin Transformer、Deeplab V3+、UNet等传统CV方法。基于改进CV的分割结果，建立了包含表观岩石参数的参数集。然后，收集两个数据集，包括岩石内部钻井参数和力学以及设计参数。上述参数集的组合称为岩石质量综合评价数据集。然而，分析揭示了这些数据集中的数据不完整问题。为了缓解这一问题，设计了一种新的树增强贝叶斯网络，实现了91%的预测精度，超过了流行的决策树、集成学习和深度学习方法。此外，在山地和海底隧道中提供了评估服务，表明钻井参数显著提高了评估性能。此外，采用两个灵敏度分析指标强调了旋转压力和钻井速度参数的显著影响。本研究提出了多种解决方案，通过不同的参数集来实现精确和快速的岩石质量预测，以满足隧道的不同要求。

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引用次数: 0

Influence of water content on the failure modes and macro-micromechanical properties of sulfate rocks: Insights from experimental and DEM simulations 含水量对硫酸盐岩石破坏模式和宏观微观力学特性的影响：来自实验和DEM模拟的见解

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-15 DOI: 10.1016/j.undsp.2025.06.005

Li Yu , Youlin Qin , Hualao Wang , Mingnian Wang , Zhaohui Chen , Mingyang Yu , Hong Jin

The initial water content significantly affects rock mechanics, especially with swelling minerals. However, the effects of initial water content on the mechanical properties and failure mode of sulfate rocks remain unclear. This study explores these effects by conducting unconfined compressive strength (UCS) experiments and discrete element method simulations on sulfate rocks. The results indicate that as the initial water content increased from 0 to 9%, the Young’s modulus and Poisson’s ratio of sulfate rock exponentially decreased by 48.9% and 290%, respectively. Additionally, the crack initiation stress (

σ_{c i}

), crack damage stress (

σ_{c d}

), and UCS decreased by 62.4%, 51.5%, and 53.3%, respectively. The stress responses to initial water content follow linear functions. Notable decreases were also observed in the normal and shear stiffness parameters (

k_{n}

and

k_{s})

of contact, diminishing by 46.53% and 46.54%, respectively; peak cohesion decreased by 69.70%; peak friction angle by 17.39%; peak tensile strength by 124%. Rising initial water content leads to increased damage and softening of sulfate rock, causing decreased mechanical properties. It can be observed that as the initial water content increases, the proportion of micro-tensile fractures in the total number of fractures increases, and the dominant failure mode of sulfate rock gradually transitions from shear to tensile failure.

初始含水量显著影响岩石力学性质，尤其是溶胀矿物。然而，初始含水量对硫酸盐岩力学性能和破坏模式的影响尚不清楚。本文通过对硫酸盐岩进行无侧限抗压强度（UCS）试验和离散元法模拟，探讨了这些影响。结果表明：当初始含水量从0增加到9%时，硫酸盐岩的杨氏模量和泊松比分别指数下降48.9%和290%；裂纹起裂应力（σci）、裂纹损伤应力（σcd）和UCS分别降低了62.4%、51.5%和53.3%。应力对初始含水量的响应服从线性函数。接触法向刚度和剪切刚度参数（kn和ks）也显著减小，分别减小46.53%和46.54%；峰内聚力降低69.70%；峰值摩擦角减小17.39%；峰值抗拉强度提高124%。初始含水量的增加导致硫酸盐岩的损伤和软化加剧，力学性能下降。可以观察到，随着初始含水量的增加，微拉伸裂缝占裂缝总数的比例增加，硫酸盐岩的主导破坏模式逐渐由剪切破坏向拉伸破坏转变。

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引用次数: 0

Review on heat transfer and thermo-mechanical behaviour of energy geostructures 能源土工结构的传热与热力学特性研究进展

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-10 DOI: 10.1016/j.undsp.2025.06.003

Duofeng Cen , Caichu Xia

Energy geostructures represent a novel building energy-saving technology derived from ground source heat pump technology. Heat transfer and thermo-mechanical response characteristics stand out as pivotal issues in the investigation and design of such energy geostructures. This paper provides an overview of the research on heat transfer models, factors influencing heat exchange performance, and thermo-mechanical behaviour concerning energy piles, energy walls, and energy tunnels. The future perspectives were also presented. Four types consisting of ten basic heat transfer models for energy piles were summarized, and their advantages, limitations, and applicable scenarios were comprehensively discussed from multiple aspects. The heat transfer models for energy walls and energy tunnels are scarce, and only one model was introduced for each of them. The influences of some controllable design parameters on the thermal performance of energy geostructures and the thermal-induced mechanical behaviour were summarized. The key conclusions are that the fluid flow rate should not be too high or too low, which is generally considered sufficient to ensure that the flow state is turbulent; and properly intermittent operation is beneficial to the recovery of geothermy, thereby improving the heat exchange performance. Due to the differing conditions considered, it is not possible to draw a definitive conclusion regarding whether heating can increase or decrease the shaft resistance or bearing capacity of energy piles. Generally, thermal effects within energy walls are unlikely to cause severe damage to structural stability. The issues related to thermal-induced ground deformation are considered more critical than those concerning the energy tunnel structure deformation. This paper highlights the aspects that require further research and the new aspects worth exploring in the future. Energy geostructures are not limited to new construction projects, and combining with other renewable energy utilization methods and integrating into district energy networks are the future development trends.

能源土工结构是在地源热泵技术的基础上发展起来的一种新型建筑节能技术。在此类能源土工结构的研究和设计中，传热和热-力学响应特性是关键问题。本文综述了能量桩、能量墙和能量隧道的传热模型、换热性能影响因素和热力学行为的研究进展。还提出了对未来的展望。总结了能源桩的四种基本传热模型，包括十种基本传热模型，并从多个方面全面讨论了它们的优势、局限性和适用场景。能量墙和能量隧道的换热模型比较少，分别只介绍了一种模型。总结了一些可控设计参数对能源土工结构热性能和热致力学性能的影响。关键结论是流体流速不宜过高或过低，一般认为这足以保证流动状态为湍流状态；适当的间歇操作有利于地热的回收，从而提高换热性能。由于考虑的条件不同，对于加热是否会增加或降低能源桩的轴阻或承载力，还不能得出明确的结论。一般来说，能量壁内的热效应不太可能对结构稳定性造成严重破坏。热致地面变形问题被认为比能量隧道结构变形问题更为重要。本文强调了需要进一步研究的方面和未来值得探索的新方面。能源土工结构已不局限于新建项目，与其他可再生能源利用方式相结合、融入区域能源网络是未来的发展趋势。

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引用次数: 0

Hydraulic-rock-structural responses of close-spaced shield-driven twin tunnels: Insights from in-situ monitoring and three-dimensional numerical simulation 近间距盾构双隧道的水力-岩石-结构响应：来自原位监测和三维数值模拟的见解

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-10-04 DOI: 10.1016/j.undsp.2025.05.010

Chengwen Wang , Xiaoli Liu , Nan Hu , Wenli Yao , Enzhi Wang , Jianhong Jia

Twin-tunnel construction inevitably interacts under complex geological conditions, inducing highly complex hydraulic-rock-structure interactions. This study proposes a micro-electro-mechanical systems (MEMS)-based automatic monitoring system for in-situ measurement of rock and structural responses. It measures pore pressure, earth pressure, rock displacement, and additional stress and displacement of segments. Test results reveal three evolutionary stages: pre-shield arrival, shield passage, and post-shield passage. The final distribution and disturbance extent of these responses correlate with tunnel distance. A 3D refined numerical model incorporating the fluid–solid coupling and detailed construction process is developed. Numerical results analyze excess pore pressure, vault settlement, lining response, and key construction parameter effects (face and grouting pressure). Findings enhance understanding of twin tunnel interactions and hydraulic-rock-structural response mechanisms, providing insights for similar projects.

在复杂的地质条件下，双隧洞施工不可避免地相互作用，引起高度复杂的水工-岩-构相互作用。提出了一种基于微机电系统（MEMS）的岩石和结构响应原位测量自动监测系统。它可以测量孔隙压力、土压力、岩石位移以及管片的附加应力和位移。试验结果显示了三个演化阶段：盾构到达前、盾构通过和盾构通过后。这些响应的最终分布和扰动程度与隧道距离有关。建立了考虑流固耦合和详细施工过程的三维精细数值模型。数值结果分析了超孔隙压力、拱顶沉降、衬砌响应以及关键施工参数（工作面和注浆压力）的影响。研究结果增强了对双隧道相互作用和水力-岩石-结构响应机制的理解，为类似项目提供了见解。

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引用次数: 0

Resilience of shield tunnel subjected to adjacent construction disturbances: A review 盾构隧道在邻近施工扰动下的回弹性研究进展

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-09-30 DOI: 10.1016/j.undsp.2024.12.007

Dong-Mei Zhang , Bin-Lin Gan , Zhong-Kai Huang , Rui Zhu , Wei Zhang

With the intensive and rapid development of urban underground space, there are more and more adjacent construction disturbances to the existing shield tunnels, posing serious challenges to their safety operation and maintenance. Resilience is an integrated representation of the ability of the engineering systems to resist disaster disturbances and recover function, and it can comprehensively reflect the impact of adjacent construction disturbances on the whole disaster chain of shield tunnels. However, the field currently faces challenges related to vague definitions of resilience, diverse evaluation indicators and measures, and an emphasis on evaluation rather than enhancement. Hence, this paper firstly summarized the definition of engineering resilience, especially the resilience of shield tunnels, and proposed the resilience definition of shield tunnels under adjacent construction disturbance, considering the basic connotation of resilience and disturbance characteristics. Secondly, the existing resilience evaluation frameworks for shield tunnels were summarized and analyzed, and the applicability of the existing framework for the shield tunnel under adjacent construction was discussed in light of the disturbance characteristics. Building on the mechanism and deformation characteristics, the resilience evaluation indexes and evaluation methods were reviewed based on the indicators of influencing factors and indicators of effectiveness of the entire disaster chain. Afterwards, the synergistic enhancement technology of shield tunnel resilience was summarized into 4 aspects: optimal structural design, disturbance transmission blocking, structural performance enhancement, and stratum grouting. Finally, research prospects in this field were analyzed systematically. This paper is intended to provide a meaningful reference for the in-depth research and application of structural resilience of shield tunnels subjected to adjacent construction disturbances.

随着城市地下空间的集约快速发展，既有盾构隧道的相邻施工干扰越来越多，对盾构隧道的安全运维提出了严峻的挑战。弹性是工程系统抗灾害干扰能力和恢复功能的综合表征，可以综合反映相邻施工干扰对盾构隧道整个灾害链的影响。然而，该领域目前面临着与弹性定义模糊，评估指标和措施多样化以及强调评估而不是增强相关的挑战。因此，本文首先总结了工程回弹性的定义，特别是盾构隧道的回弹性，在考虑回弹性的基本内涵和扰动特征的基础上，提出了相邻施工扰动下盾构隧道的回弹性定义。其次，对现有盾构隧道回弹性评估框架进行了总结和分析，并针对盾构隧道的扰动特征，讨论了现有框架对临近施工盾构隧道的适用性。在机理和变形特征的基础上，基于全灾链影响因素指标和有效性指标，对恢复力评价指标和评价方法进行了综述。随后，将盾构隧道回弹性协同增强技术归纳为结构优化设计、干扰传递阻断、结构性能增强、地层注浆4个方面。最后，对该领域的研究前景进行了系统分析。本文旨在为盾构隧道在邻近施工扰动下的结构回弹性的深入研究和应用提供有意义的参考。

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引用次数: 0

Effect of strain rate on the fracture behavior of granite under unconfined compression: A meso-scale energy evolution perspective 应变速率对无侧限压缩下花岗岩断裂行为的影响：一个细观能量演化视角

IF 8.3 1区工程技术 Q1 ENGINEERING, CIVIL

Underground Space

Pub Date : 2025-09-26 DOI: 10.1016/j.undsp.2025.05.009

Qinyuan Liang , Hengxing Lan , Yu Zhou , Shijie Liu , Bo Li , Langping Li , Han Bao

The macro mechanical behavior of rock material is attributed to the meso/mineral characteristics. To deeply reveal the mechanisms of strain rate effect on mechanical properties and crack propagation, a series of unconfined compression experiments and simulations for exploring the meso-scale characteristic were conducted at different strain rates. Based on the micro-loading equipment with microphotography capabilities and the numerical grain-based model method, the meso-scale crack propagation and energy evolution characteristics of granite during the pre-peak loading process were analyzed. The results indicate that with the increase of strain rate, the crack distribution entropy value increases, which means that cracks are more evenly distributed among various minerals. The differences in stored elastic strain energy among different minerals decrease, resulting in more uniform energy release. In addition, cracks associated with biotite transits from intergranular to transgranular modes. Therefore, the increased strain rate can prompt more minerals to participate in deformation, thereby enhancing the mechanical properties. This study deeply reveals the mechanisms of strain rate on granite crack propagation at the meso-scale, offering valuable insights for the stability and safety of underground space engineering.

岩石材料的宏观力学行为是由细观/矿物特征决定的。为深入揭示应变率对裂纹扩展和力学性能影响的机理，开展了不同应变率下的无侧限压缩实验和细观尺度特征模拟研究。基于具有显微摄影功能的微加载设备和基于颗粒的数值模型方法，分析了花岗岩峰前加载过程的细观裂纹扩展和能量演化特征。结果表明：随着应变速率的增大，裂纹分布熵值增大，表明裂纹在各种矿物间的分布更加均匀；不同矿物间储存弹性应变能的差异减小，使能量释放更加均匀。此外，与黑云母有关的裂缝由晶间模式过渡到穿晶模式。因此，增加应变速率可以促使更多的矿物参与变形，从而提高力学性能。该研究在细观尺度上深入揭示了应变速率对花岗岩裂纹扩展的影响机制，为地下空间工程的稳定与安全提供了有价值的见解。

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引用次数: 0