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Correction: Centrifugal model test of deep covered karst collapse induced by static overloading of dense building groups

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Carbonates and Evaporites 2025年第2期40卷 1-5页

作者： Zhou, Jie Zhou, Huade Ban, Chao Liu, Qi Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai China Key Laboratory of Geotechnical and Underground Engineering Tongji University Ministry of Education Shanghai China

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Research on a closed-form solution for safe burial depth range (SDB-RS) of hard rock compressed air energy storage chambers based on no plastic zone criterion

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Geomechanics and Geophysics for Geo-Energy and Geo-Resources 2025年第1期11卷 1-19页

作者： Zhao, Cheng Sun, Zeyuan Luo, Qinyuan Qian, Yuan Niu, Jialun Wei, Chao Xing, Jinquan Department of Geotechnical Engineering Tongji University Shanghai200092 China Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji University Shanghai200092 China Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources Changjiang River Scientific Research Institute Hubei Wuhan430010 China

Determining the safe burial depth is crucial for ensuring the long-term stability of compressed air energy storage chambers throughout their operational cycle. This study proposes a safe burial depth solution based on elastic and elastoplastic theories, with the safety criterion being the prevention of plastic zone formation in the surrounding rock. An approximate method is used to calculate the boundary of the plastic zone, and a closed-form safe burial depth range solution is determined by ensuring that the plastic zone remains contained within the chamber boundary. The study demonstrates that both overly shallow and overly deep burial depths can result in the formation of plastic zones, whereas no plastic zone occurs in the surrounding rock when the burial depth is within the range solution. The validation through comparison with previous physical model experiments and numerical simulation methods proves the effectiveness of the solution. The study further reveals that the range of safe burial depths is wider and more suitable for air storage when the lateral pressure coefficient is closer to 1.and the shear strength of the surrounding rock is higher. The solution is applicable to surrounding rocks of Class II and above, and can be quickly solved using the maximum air pressure determined by engineering requirements and the geomechanical parameters of the rock mass obtained from {1. investigations. The solution provides high computational efficiency and accuracy and offers significant engineering value for site selection and the design of burial depth in CAES chambers. © The Author(s) 2025.

关键词： Burial depth CAES chambers Closed-form solution Elastic–plastic theory Numerical simulation SBD-RS

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Leveraging Transfer Learning Techniques for Transportation Infrastructure Image Classification: A Python-Based Approach with Xception Network

SSRN

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SSRN 2025年

作者： Rukundo, Emmanuel Department of Geotechnical Engineering Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji University 1239 Siping Road Shanghai200092 China

This article introduces transfer learning techniques using Python and the corresponding libraries, focusing on transportation infrastructure image classification using the Keras framework. The network chosen for this task is Xception. The transfer learning process involves adding an output layer to the model and freezing all layers except the last one before training. Subsequently, the first nontrainable layers were frozen, whereas the remaining layers were unfrozen. Data augmentation was applied to the training dataset by using the generator feed. Gradually, unfreezing layers train the model until overfitting is observed, which is reverted to the previous model. A code implementation was provided to test the model on real images, displaying the actual class, class predicted by the model, and probabilities assigned to all classes. The article concludes by embedding the results on a device mounted on an Unmanned Aerial Vehicle or any movable equipment to facilitate inspection tasks. © 2025, The Authors. All rights reserved.

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Mechanical behaviour of EICP-treated calcareous sands: experimental study and constitutive modelling

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Computers and Geotechnics 2025年 184卷

作者： Zhang, Qian Ye, Weimin Wang, Qiong Chen, Yonggui Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai200092 China Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji University Shanghai200092 China

Enzyme induced carbonate precipitation (EICP) is an effective and promising biocementation technique for soil reinforcement. Calcareous sands exhibit special physical characteristics, including complex particle shapes, angularity, and abundant inner pores, due to their unique biogenesis. The mechanical behaviour of EICP-treated calcareous sands could be influenced by both the cementation level and particle breakage. In this study, triaxial and one-dimensional compression tests were conducted on untreated and EICP-treated calcareous sands with varying cementation levels. Results show that the strength and dilatancy were significantly improved by increasing the carbonate content, resulting in more obvious brittleness in the EICP-treated calcareous sands. Both the bond strength and the yield stress followed exponential relationships with the carbonate content. By introducing bond strength and particle breakage yield stress, a constitutive model was developed within the framework of super-subloading concept. Relationships between the state variables and carbonate content were quantitatively addressed. The simulation results agreed well with the experimental measurements, demonstrating the effectiveness and capability of the proposed model to describe the mechanical features of the calcareous sands treated under various cementation and stress conditions. © 2025 Elsevier Ltd

关键词： Compression testing

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Improved SOLOv2 Detection Method for Shield Tunnel Lining Water Leakages

Journal of Intelligent Construction

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Journal of Intelligent Construction 2025年第1期1卷 1-15页

作者： Yong Feng Xiaolei Zhang Shijin Feng Hongxin Chen Yong Zhao Yihan Chen Urban Mobility Institute College of Transportation Engineering Tongji University Shanghai China Department of Geotechnical Engineering College of Civil Engineering Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji University Shanghai China

With the rapid development of urban metros, the detection of shield tunnel leakages has become an important research topic. Progressive technological innovations such as deep learning-based methods provide an effective way to detect tunnel leakages accurately and automatically. However, due to the complex shapes and sizes of leakages, it is challenging for existing algorithms to detect such defects. To address these issues, this paper proposes a novel deep learning-based model named segmenting objects by locations network v2 for tunnel leakages (SOLOv2-TL), which is enhanced by ResNeXt-50, deformable convolution, and path augmentation feature pyramid network (PAFPN). In the SOLOv2-TL, ResNeXt-50 coupled with deformable convolution is the backbone for boosting feature extraction ability that would enable the model sensitivity to leakages of different shapes. The PAFPN is introduced as the neck to reduce the loss of leakage information and more accurately assign leakages of different sizes to their corresponding feature levels. The superior performances of ResNeXt-50 with deformable convolution and PAFPN were validated by ablation tests. Moreover, the segmentation results obtained by SOLOv2-TL were compared with those by the mask region-based convolutional neural network (Mask R-CNN), Cascade Mask R-CNN, and SOLO which demonstrated that the mAP, mAP 50 , and mAP 75 of SOLOv2-TL are higher than those of the other methods, where mAP indicates the mean mask average precision (AP) at intersection over union (IoU) = 0.50:0.05:0.95, mAP 50 refers to the mean mask AP with an IoU threshold of 0.50, and mAP 75 denotes the mean mask AP with an IoU threshold of 0.75. Finally, a leakage area quantification method is presented.

关键词： Deformable models Learning systems Technological innovation Sensitivity Convolution Shape Tunneling Feature extraction Neck Convolutional neural networks

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Intelligent Decision Method for Main Control Parameters of TBM Based on Machine Learning and Multi-objective Optimization Algorithm 5th

Intelligent Decision Method for Main Control Parameters of T...

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5th International Conference on Information Technology in Geo-engineering, ICITG 2024

作者： Zheng, Zhaohui Guo, Yongfa Xu, Pengzu Xue, Yadong Key Laboratory of Geotechnical and Underground Engineering of Education Ministry Tongji University Shanghai200092 China Department of Geotechnical Engineering Tongji University Shanghai200092 China Kunming Survey Design and Research Institute Co. Ltd. Kunming650000 China China Railway Tunnel Co. Ltd. Zhengzhou450000 China

ISBN: (纸本)9783031765278

Due to the poor adaptability of TBM to geological formations, there are problems in actual construction, such as unclear mechanisms and laws of rock-machine interaction, insufficient exploration and perception lag of geological conditions, and strong subjectivity in equipment excavation parameter control. This article is based on the TBM excavation dataset that is publicly available for the Yinsong Project. The main monitoring parameters during the TBM excavation process are divided into three categories: control parameters, state parameters, and performance parameters. The outliers are identified and removed using the Turkey box plot, and then the data is dimensionally reduced using the APCA method. On this basis, a rock machine interaction model (i.e. the relationship between the three types of parameters) for the TBM excavation process was established using the random forest algorithm that integrates Bayesian optimization methods. Finally, with TBM advance speed and specific energy as optimization objectives, the main control parameters of TBM were intelligently optimized using the multi-objective genetic algorithm NSGA II. After optimization, the specific energy was reduced by 5.55%, and the advance rate was increased by 65.79%. The conclusion shows that the above optimization method can achieve efficient and intelligent TBM excavation and has certain {1. application prospects. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Genetic algorithms

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Field observational study of offshore wind turbine dynamic response to a marine earthquake event (Ms 5.0) in the South Yellow Sea, China, on November 1., 2021

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Acta Geotechnica 2025年 1-15页

作者： Zhao, Liuyuan Shan, Zhigang Liu, Qiang Peng, Peng Zhan, Xiaoming Mao, Wuwei PowerChina Huadong Engineering Corporation Limited Zhejiang Hangzhou 311122 China Zhejiang Huadong Construction Engineering Corporation Limited Zhejiang Hangzhou 310004 China Zhejiang Huadong Mapping and Engineering Safety Technology Corporation Limited Zhejiang Hangzhou 310004 China Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai 200092 China Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education Tongji University Shanghai 200092 China

A Ms 5.0 earthquake occurred in the South Yellow Sea in the area offshore of Dafeng (China) on November 1., 2021. The authors were monitoring wind turbine vibrations at regional offshore wind farms during the earthquake period, collecting valuable field data. Records from several surrounding onshore seismic stations were also examined. Analysis of the self-vibration status of offshore wind turbines revealed that the signal spectrum of the working status of the turbines was broadly the same before and after the earthquake, indicating that the earthquake had no impact on the self-vibration frequency or the structural system of the turbines. National seismic monitoring network data revealed that Yancheng station was the only land-based seismic station recording seismic acceleration of 0.04 m/s², which was much lower than that at the bottom of the wind turbine tower, i.e., 0.1.0.2 m/s². The seismic action, input from the tower bottom, had a frequency higher than the first-order self-oscillation frequency (0.25 Hz) and lower than the second-order self-oscillation frequency (2 Hz) of the turbines. The turbines experienced both first-order and second-order vibration under seismic action, with lower parts vibrating at a higher frequency and upper parts close to the first-order self-oscillation frequency (0.27 Hz) measured during the earthquake. As height increased, the wind turbine acceleration response changed from high to low frequency. Due to these factors, the top of the wind turbine exhibited low-frequency vibration, differing from the main seismic frequency, resulting in a weak seismic response. Notably, the seismic response of several turbines in the Dafeng wind farm was largest at 0.66 times the hub height, about twice the magnitude of the response at the tower base. This research contributes field observational data that can serve as a valuable reference for dynamic model testing and numerical simulations, thereby enhancing the efficacy of pra

关键词： Dynamic response Marine earthquake Offshore wind turbine South Yellow Sea

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The Overcoring Technique for Precise Measurement of In Situ Rock Stress at Great Depths:Challenges and Solutions

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engineering 2025年第3期46卷 9-15页

作者： Peng Li Yan Liu Meifeng Cai Shengjun Miao Yuan Li Yunjin Hu Mostafa Gorjian Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mines University of Science and Technology BeijingBeijing 100083China Beijing Key Laboratory of Urban Underground Space Engineering University of Science and Technology BeijingBeijing 100083China College of Civil Engineering Shaoxing UniversityShaoxing 312000China Department of Earth Ocean and Atmospheric SciencesUniversity of British ColumbiaVancouverBC V6T 1Z3Canada

*** Various geological phenomena on the surface and in the interior of the Earth,as well as their associated physical and chemical pro-cesses,are closely correlated with the action of in situ rock stress[1.5].Understanding the rock stress state at great depths is not only an indispensable foundation for solving scientific problems associated with geology,geophysics,and geodynamics-such as plate-driving mechanisms,the earth’s energy equilibrium,earth-quake mechanisms,and tectonic activities-but also a necessary prerequisite for the evaluation,exploitation,and disposal of deep energy and resources,such as coal and metal *** to the complexity and uncertainty of the origin of in situ rock stress,it is a difficult quantity to evaluate,in comparison with other rock ***,reliable information on the stress state in a region can only be determined through field stress ***,a variety of stress measurement techniques have been developed and applied worldwide to provide information on crus-tal contemporary stress at specific depth ranges[6].

关键词： situ rock stress earths energy equilibrium plate driving mechanisms earthquake mechanisms overcoring technique geological phenomena physical chemical processes

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Heat exchange efficiency and structural stability of assembled energy shafts: a novel shallow geothermal exploitation system for coastal urban cities

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Geothermal Energy 2025年第1期13卷 1-25页

作者： Zhou, Jie Wang, Xin Xu, Jie Shi, Zhenming Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai China Key Laboratory of Geotechnical and Underground Engineering Ministry of Education Tongji University Shanghai China Shanghai Road and Bridge (Group) Co. LTD Shanghai China

As a crucial solution to the challenge of limited urban underground space development, the assembled shaft offers extensive structure–soil contact surfaces and meantime holds significant potential for shallow geothermal energy exploitation. In this paper, we propose an assembled energy shaft, i.e. a novel geothermal development system, in which the heat exchanger could be easily installed in the shaft concrete with extensive soil–contact area and can have superior protection without extra pre-drilling. This paper establishes a heat transfer model for energy shafts in soft soil areas. By comparing the heat transfer efficiency and additional thermal stress of the energy tunnel in Beijing, the practical feasibility of constructing energy shafts in coastal cities is demonstrated. By proposing the characterization parameters of heat exchange capacity per unit lining surface area and heat exchange per unit length of pipe, it is revealed that thermal interference is minimized when the heat exchange pipe spacing of the energy shaft is 0.25–0.3 m. The heat exchange efficiency is increased when the fluid flow rate is 0.6 m/s ~ 0.9 m/s. According to the deformation characteristics of the lining, the maximum tensile and compressive stresses occur near the inlet of the heat exchange pipe. To minimize stress concentration, it is advisable to position the inlet of the heat exchange pipe at the center of the segment. The research findings confirm the substantial potential of assembled energy shafts in shallow geothermal development and provide valuable insights for the design of such shafts in coastal cities.

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System reliability analysis of soil-nailed slopes

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engineering Failure Analysis 2025年 176卷

作者： Zhang, Jie Luo, Chen Wu, Chenguang Lu, Meng Wu, Di Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Department of Geotechnical Engineering Tongji University 1239 Siping Road Shanghai200092 China School of Architecture and Transportation Engineering Guilin University of Electronic Technology No. 1 Jinji Road Guilin541004 China

Soil nails are extensively employed to improve slope stability. It is exceedingly difficult to analyze the reliability for a soil-nailed slope because there are numerous possible slip surfaces (SSs) and different rows of soil nails may have several different failure modes (FMs). This paper suggests a response surface methodology utilizing backpropagation neural network to assess system reliability (SR) of soil-nailed slope. To evaluate SR for soil-nailed slopes, this research proposes a response surface approach built on backpropagation neural network. How to analyze the most critical FMs govern SR of soil-nailed slope is also described. The recommended method is illustrated with an example of a soil-nailed slope. It is discovered that SR of soil-nailed slope is commonly dominated by a few representative failure modes (RFMs). Furthermore, the SR of slope increases with the number of nail rows when the soil nails are subjected to tensile failure. It also increases with the nail length when soil nails are subjected to pullout failure or deep failure. This study offers practical methods and valuable insights for the SR analysis and design of soil-nailed slopes. © 2025 Elsevier Ltd

关键词： Failure modes

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