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Development and engineering Application of Intelligent Management and Control Platform for the Shield Tunneling Construction Close to Risk Sources

Journal of Intelligent Construction

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Journal of Intelligent Construction 2025年第2期2卷 1-12页

作者： Bo Liu Qian Han Chunqing Fu Gong Zhang Yanqing He Wenhao Li School of Mechanics and Civil Engineering China University of Mining and Technology-Beijing Beijing China State Key Laboratory for GeoMechanics and Deep Underground Engineering Beijing China Beijing Urban Construction Rail Transit Construction Engineering Co. Ltd. Beijing China

The construction of shield tunneling close to risk sources in urban has been a commonly encountered problem in recent years. The establishment of the analytical model used to calculate the immediate settlement of existing structures has been a major focus in approaching construction issues. It is obvious that after shield construction, the settlement will inevitably continue to increase for a long period. In this study, a novel model applied to calculate the long-term settlement considering the influence of soil consolidation was proposed. Based on this proposed analysis model, combined with building information modeling (BIM), geographic information system (GIS), city information model (CIM), geoscience modeling (Geo Model), and internet of things (IoT), a three-dimensional (3D) intelligent management and control platform for shield tunneling construction close to major risk sources was developed and introduced. In this platform, the analysis model was embedded to calculate the long-term settlement, and the risk data were determined by comparing calculated results, monitoring results, and control standard value. The intelligent platform adopts the analytical method and computer technology to solve the problem of approaching construction, such as management of construction information, pre-warning, and control of construction risk, and it has been successfully applied in Beijing shield tunneling projects. This platform can also provide the pre-warning function and economic value for similar construction projects.

关键词： Analytical models Solid modeling Three-dimensional displays Urban areas Tunneling Spatial databases Data models Internet of Things Standards Geographic information systems

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Study on local primary support method for tunnels based on the zoning results of excavation disturbed zone

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Environmental Earth Sciences 2025年第10期84卷 1-28页

作者： Zhang, Jixu Fu, Xiaodong Tan, Chao Zhou, Yongqiang Sheng, Qian Xu, Chen Wu, Jiaming State Key Laboratory of Geomechanics and Geotechnical Engineering Safety Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan China University of Chinese Academy of Sciences Beijing China School of Civil Engineering Chongqing University Chongqing China China Railway Siyuan Survey and Design Group Co. Ltd. Wuhan China National & Local Joint Engineering Research Center of Underwater Tunneling Technology Wuhan China

To reduce tunnel construction costs, primary support methods are often optimized from the perspective of the support structure, while neglecting the influence of the surrounding rock, as the supported object. Firstly, a model test of primary support methods for tunnels was conducted to investigate the pressure, displacement, and failure characteristics of the surrounding rock under unsupported and full-face supported conditions. A preliminary concept for a local primary support method, which is based on the degree of disturbance cause by excavation in the surrounding rock, was proposed. Subsequently, using the Finite-Discrete Element Method, a quantitative index, the Crack Propagation Index (CPI), was introduced to characterize the degree of crack propagation, and a zoning standard for the Excavation Disturbed Zone (EDZ) based on the CPI was established, while a precise method for zoning the EDZ was proposed. The zoning method for the EDZ was applied to tunnels with different rock strength, revealing the influence of rock strength on the EDZ and validating the accuracy of the proposed zoning method. Finally, based on the zoning results of the EDZ, a local primary support method was developed. Shotcrete combined with anchor bolts was applied to the surrounding rock in the excavation fracture zone, while only shotcrete was used in the crack propagation and tiny crack zones. Compared to unsupported conditions, the local primary support increased the ultimate bearing capacity of the surrounding rock by 38.3%, ensuring rock stability and enhancing the economic efficiency of tunnel construction.

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Study on the division method of the excavation disturbed zone in tunnels based on continuous-discontinuous theory

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Bulletin of engineering Geology and the Environment 2025年第6期84卷 1-19页

Tunnel excavation can induce stress redistribution in the surrounding rock, causing cracks to continuously propagate and form an Excavation Disturbed Zone (EDZ). Accurately identifying the EDZ is crucial for assessing the stability of the surrounding rock. Based on the continuous-discontinuous theory, the extent of the EDZ is directly determined from the perspective of crack propagation. Initially, based on the constitutive model of the joint element, a quantitative indicator termed the Crack Propagation Index (CPI) was proposed to represent the degree of crack propagation. The calculation formulas for CPI and Yield CPI were derived, and a standard for dividing the EDZ based on the CPI was established. Furthermore, a precise method for identifying and dividing the EDZ was proposed using the Finite-Discrete Element Method (FDEM). The results indicated that the excavation failure zone in the Mine-by Experiment test tunnel computed using FDEM is in close agreement with the V-shaped failure zone measured from this tunnel in terms of maximum depth, angle and shape. Finally, the model tests were conducted based on actual engineering projects, and the EDZ division method established in this paper was applied to the model tests. The results show that the failure modes of the surrounding rock obtained by the two methods are largely consistent, and the depths of the arch-shaped failure zones are similar. Therefore, the EDZ division method established in this paper can provide a reference for selecting support schemes during excavation.

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Shear strength behavior of hydrate-bearing sediments under varying dissociation conditions

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Journal of Rock Mechanics and geotechnical engineering 2025年

作者： Chen, Pan Xu, Jiaqiang Fan, Qi Zhu, Zhenyu Feng, Shuai Zhou, Yuan Zheng, Ying Xue, Dongchuan Wei, Changfu State Key Laboratory of Geomechanics and Geotechnical Engineering Safety Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China University of Chinese Academy of Sciences Beijing 100049 China CNOOC Research Institute Company Limited Beijing China State Key Laboratory of Natural Gas Hydrates Beijing 100028 China Laoshan Laboratory Qingdao 266237 China

Shear strength of hydrate-bearing sediment is an essential parameter for assessing landslide potential of hydrate reservoirs under exploration conditions. However, the characteristics and simulation of this shear strength under varying dissociation conditions have not been thoroughly investigated. To this end, a series of triaxial compression tests were first carried out on sediments with varying initial hydrate saturations along dissociation pathways. Combining measured data with microscale analysis, the underlying mechanism for the evolution of shear strength in hydrate-bearing sediment was studied under varying partial dissociation pathways. Moreover, a shear strength model for hydrate-bearing sediment was proposed, taking into account the hydrate saturation and the unhydrated water content. Apart from the parameters derived from the hydrate characteristic curve, only one additional model parameter is required. The proposed model was validated using measured data on hydrate sediments. The results indicate that the proposed model can effectively capture the shear strength behavior of hydrate-bearing sediment under varying dissociation paths. Finally, a sensitivity analysis of the model parameters was conducted to characterize the proposed model. © 2025 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

关键词： Hydrate dissociation Hydrate saturation Hydrate-bearing sediment Shear strength Unhydrated water

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Human-machine interactive refined identification of complex rock discontinuities using photogrammetric techniques: Case studies from a candidate HLW repository site in China

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Environmental Earth Sciences 2025年第10期84卷 1-19页

作者： Yang, Yang Xu, Wentao Li, Xiaozhao Ma, Xiaodong Tang, Chao-Sheng School of Earth Sciences and Engineering Nanjing University Nanjing China Yunlong Lake Laboratory of Deep Earth Science and Engineering Xuzhou China State Key Laboratory for GeoMechanics and Deep Underground Engineering China University of Mining and Technology Xuzhou China School of Earth and Space Sciences University of Science and Technology of China Hefei China

The natural discontinuities present within the surrounding rock significantly influence the integrity of the rock mass, particularly in underground rock engineering, where these discontinuities serve as critical geological structures that can lead to tunnel destabilization and facilitate groundwater movement. This paper systematically presents a methodology for the fine identification of complex discontinuities in surrounding rock using close-range photogrammetry. Firstly, the photogrammetry-based method tailored for various rock engineering scenarios and the 3D digital reconstruction technology specifically devised for surrounding rock images are presented. Building upon this foundation, we propose a human–machine interaction method aimed at the meticulous identification and extraction of discontinuities in surrounding rock. This method comprises several key steps: (1) enhancement of the Laplace smoothing algorithm to eliminate noise of non-rock structures; (2) segmentation and detection of discontinuities; (3) labeling and assignment of key feature points associated with these discontinuities; and (4) identification and fitting of the identified discontinuities. To investigate the performance of the proposed methods, we selected two representative cases: a section of an underground excavation tunnel and a surface granite outcrop located at China’s first high-level waste geological disposal site. The results demonstrate that employing high-resolution images combined with high-precision point clouds effectively captures intricate texture details associated with discontinuities. The proposed approach exhibits exceptional performance in the fine identification and extraction of complex discontinuities, with interpreted discontinuity orientations aligning well with in-site geological compass measurements. In comparison to the widely utilized state-of-the-art Discontinuity Set Extractor (DSE), the method presented herein achieves significant improvements in both identif

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Bayesian-optimized lithology identification via visible and near-infrared spectral data analysis

Intelligent Geoengineering

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Intelligent Geoengineering 2025年第1期2卷 1-13页

作者： Zhenhao Xu Shan Li Peng Lin Hang Xiang Qianji Li School of Qilu Transportation Shandong University Jinan Shandong 250061 China State Key Laboratory for Tunnel Engineering Jinan Shandong 250061 China Institute of Geotechnical and Underground Engineering Shandong University Jinan Shandong 25006l China

Bayesian-optimized lithology identification has important basic geological research significance and engineering application value, and this paper proposes a Bayesian-optimized lithology identification method based on machine learning of rock visible and near-infrared spectral data. First, the rock spectral data are preprocessed using Savitzky-Golay (SG) smoothing to remove the noise of the spectral data; then, the preprocessed rock spectral data are downscaled using Principal Component Analysis (PCA) to reduce the redundancy of the data, optimize the effective discriminative information, and obtain the rock spectral features; finally, a Bayesian-optimized lithology identification model is established based on rock spectral features, optimize the model hyperparameters using Bayesian optimization (BO) algorithm to avoid the combination of hyperparameters falling into the local optimal solution, and output the predicted type of rock, so as to realize the Bayesian-optimized lithology identification. In addition, this paper conducts comparative analysis on models based on Artificial Neural Network (ANN)/Random Forest (RF), dimensionality reduction/full band, and optimization algorithms. It uses the confusion matrix, accuracy, Precision ( P ), Recall ( R ) and F 1 values ( F 1 ) as the evaluation indexes of model accuracy. The results indicate that the lithology identification model optimized by the BO – ANN after dimensionality reduction achieves an accuracy of up to 99.80 %, P up to 99.79 % and F 1 up to 99.79 %. Compared with the BO-RF model, it has higher identification accuracy and better stability for each type of rock identification. The experiments and reliability analysis show that the Bayesian-optimized lithology identification method proposed in this paper has good robustness and generalization performance, which is of great significance for realizing fast, accurate and Bayesian-optimized lithology identification in tunnel site.

关键词： Lithology identification Rock spectral Hyperspectral Artificial neural networks Bayesian optimization

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Investigating acid mine drainage in complex topography areas via semi-airborne and surface geophysical surveys: a case study in Fujian, China

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Environmental Earth Sciences 2025年第11期84卷 1-24页

作者： Zhang, Nuoya Sun, Huaifeng Du, Song Liu, Shangbin Huang, Zhiyou Liu, Rui Lu, Xushan State Key Laboratory for Tunnel Engineering Shandong University Jinan China Institute of Geotechnical and Underground Engineering Shandong University Jinan China Laboratory of Earth Electromagnetic Exploration Shandong University Jinan China General Prospecting Institute of China National Administration of Coal Geology Beijing China

Acid mine drainage (AMD) has emerged as a pressing global environmental challenge. It is produced from mining area and surrounding mining operation area, which has caused environmental degradation, contamination of soils and surface and groundwater, etc. This issue is particularly pronounced at an abandoned mining site named Yanshi Town, Fujian Province. The key to AMD pollution control is to find the contamination source and migration path. Many studies have shown that the underground goaf and water fissure in coal mine area provide favorable conditions for the generation and migration of AMD. We present a multidisciplinary approach to characterize an acid mine drainage contamination source and migration path of this abandoned coal deposit, which combines geophysical, geochemical, and statistical methods. A comprehensive contamination survey encompassing groundwater, surface water, and sediment was conducted and revealed weakly acidic conditions and elevated levels of sulfate (SO42−), manganese (Mn), and iron (Fe), all indicative of acid mine drainage contamination within this region. The complex topography makes it difficult to carry out a ground survey. Thus, we apply semi-airborne transient electromagnetic method and direct current electrical resistivity method in order to image subsurface goafs and identify potential acid mine drainage sources. By leveraging the resistivity contrast between water-rich areas and surrounding rock and integrating geological data, this study identified conductive areas within 300 m below the surface and analyzed the water content to map the geographical locations of these water-rich goafs. The integration of SATEM results, DC resistivity inversion profile, and geological information enabled the successful identification of four water-rich goaf areas, whose locations fit well with verified geological data.

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Dynamic response analysis of cross-fault tunnel considering source-to-structure seismic input and near-fault effect

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Tunnelling and Underground Space Technology 2025年 162卷

作者： Li, Liqun Chen, Zhiyi Lu, Ping Huang, Yu Department of Geotechnical Engineering Tongji University Shanghai200092 China State Key Laboratory of Disaster Reduction in Civil Engineering Tongji University Shanghai200092 China College of Surveying and Geo-Informatics Tongji University Shanghai200092 China

Tunnels crossing active faults are vulnerable to severe damage under near-fault earthquakes due to the combined effects of co-seismic dislocation and complex ground motion wavefields. To capture the spatiotemporal features of near-fault ground motion and their effects on tunnel structures, this study proposes a physics-based source-to-structure simulation framework. A frequency-wavenumber (F-K) integration method is used to reconstruct broadband seismic wavefields (0.1–10 Hz) based on the finite-fault source model of the 2022 Mw 6.6 Menyuan earthquake. These waveforms are discretized and applied to a nonlinear finite element model of the Daliang Tunnel, which experienced severe damage during the event. The simulated displacement time histories match well with classical finite fault solutions, and the spatial distribution of co-seismic displacements shows good agreement with InSAR observations, especially in amplitude and trend. Within 50 km of the epicenter, the simulated peak ground accelerations (PGAs) agree closely with strong motion records, and the Fourier spectra below 1 Hz are consistent with observed data. Directional velocity pulses and fling-step effects are captured by analyzing PGV/PGA ratios in strike and normal directions, and further confirmed by wavelet transform analysis of near-fault station responses. Structural analysis reveals that fault-crossing segments experience quasi-static shearing dominated by dislocation, while segments farther from the fault are mainly affected by directional velocity pulses. The dynamic stress induced by these pulses accounts for up to 57.1 % of the quasi-static stress. The results highlight the critical importance of low-frequency ground motion components and directional effects in evaluating the seismic response and damage mechanisms of cross-fault tunnels. © 2025 Elsevier Ltd

关键词： Seismic response

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Research progress on underground compressed air energy storage based on knowledge graph

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Meitan Kexue Jishu/Coal Science and Technology (Peking) 2025年第4期53卷 80-103页

作者： Ge, Xinbo Huang, Jun Zhao, Tongbin Ma, Hongling Shi, Xilin College of Energy and Mining Engineering Shandong University of Science and Technology Qingdao266590 China State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan430071 China

Compressed Air Energy Storage (CAES), as a large-scale, long-duration physical energy storage technology, offers significant advantages such as a long operational lifespan, large storage capacity, and rapid response. It plays a key role in improving energy utilization efficiency, mitigating the fluctuations of renewable energy, and enhancing the safety and economic performance of power systems. As such, CAES is a strategic emerging industry that is being vigorously developed in China. Based on the analysis of CAES-related literature from 1985 to 2023 in the CNKI and Web of Science databases, this study utilizes VOSviewer, CiteSpace scientific knowledge mapping software, and Origin software to review the research background of underground CAES and comprehensively analyze its scientific production, research hotspots, and evolutionary *** study covers various storage methods, ranging from salt cavern and artificial chamber to abandoned mine, revealing the current development status and future directions of underground CAES. Results indicate that under the impetus of the "dual carbon" goals and the modernization of the national energy layout, underground CAES is experiencing rapid development, with new storage methods emerging, including salt cavern, artificial chamber, abandoned mine, depleted oil and gas reservoirs, and underground aquifers. Research hotspots primarily focus on three storage methods: salt cavern, artificial chamber and abandoned mine. Salt cavern storage, due to its low permeability, excellent rheological properties, and self-healing capabilities, has become a global focal point. Artificial chamber are gaining attention for their strong sealing and pressure-bearing capacity, although their high construction costs and technical challenges remain significant barriers. Abandoned mine, characterized by abundant resources, wide distribution, and low cost, present a promising storage solution, but critical issues regarding airtightness and stability

关键词： Compressed air energy storage

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Monitoring method for borehole images of changes in overlying rock structure during coal mining

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Scientific Reports 2025年第1期15卷 1-15页

作者： Jinchao, Wang Junpeng, Zou Chao, Wang Zengqiang, Han Xiaobin, Li Ming, Chen State Key Laboratory of Water Resource Protection and Utilization in Coal Mining Beijing 102211 China State Key Laboratory of Geomechanics and Geotechnical Engineering Safety Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China Faculty of Engineering China University of Geosciences (Wuhan) Wuhan 430074 China Science and Technology Innovation Center of Hubei Institute of Urban Geological Engineering Wuhan 430050 China

The migration of overlying rock layers caused by underground coal seam mining is the root cause of all mining pressure manifestations in the mining area. In order to visually record the changes in the overlying rock structure during coal seam mining, this paper proposes a borehole image monitoring method suitable for monitoring the changes in the overlying rock structure during coal seam mining. Firstly, based on the characteristics of rock structure borehole images collected in actual borehole environments, a preprocessing method for rock structure borehole images that can weaken the brightness and darkness features caused by lighting intensity is constructed to improve the recognition ability of borehole images. Subsequently, in response to the complexity and uncertainty of changes in the overlying rock mass structure, a method for locating the characteristic areas of rock mass structure is proposed to achieve the localization of structural characteristic areas at different times. Finally, a three state expression method is constructed to achieve dynamic tracking of the evolution process of rock mass structure. At the same time, combined with practical case analysis, the feasibility and correctness of the method proposed in this paper have been verified. This study not only contributions to to deepen the understanding of the evolution process and laws of the overlying rock mass structure, improve the ability of coal mine disaster prevention and control, but also provides useful references and guidance for the further development and application of coal mine video surveillance technology. © The Author(s) 2025.

关键词： Borehole images Coal seam mining Overlying rock mass Positioning and tracking Structural monitoring

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