Tunnelling and Underground Space Technology最新文献

{"title":"Investigations on the seismic performance of a shield tunnel adjacent to an underground station in liquefiable ground through shaking table tests","authors":"Xiaohua Bao ,&nbsp;Junhong Li ,&nbsp;Jun Shen ,&nbsp;Chunxun Liu ,&nbsp;Xiangsheng Chen ,&nbsp;Hongzhi Cui","doi":"10.1016/j.tust.2025.106541","DOIUrl":"10.1016/j.tust.2025.106541","url":null,"abstract":"<div><div>The seismic response of tunnels in liquefiable ground requires careful consideration of adjacent structures due to potential structure-soil-structure interaction (SSSI) effects. These interactions can significantly influence the behaviour of underground systems during earthquakes, potentially affecting structural integrity and safety. This study aims at explore the interaction effect of a large diameter shield tunnel and a shallow-buried station with rectangular section under seismic motion in liquefiable ground. For this purpose, 1 g shaking table tests of model SSSI system is designed. The model shield tunnel was manufactured with segments and joints using plexiglass, while the model rectangular station was precast using concrete embedded at a shallow layer adjacent to the tunnel. The responses of excess pore water pressure (EPWP), acceleration, displacement of the foundation in SSSI system and deformation of shield tunnel were measured and analysed in detail. The influence of relative stiffness of different structures is discussed based on finite element method. The experimental results show that the SSSI system exhibited a certain nonlinearity and plastic damage under input motions. Shear stress from two sides of the model structures caused the soil to dilate, resulting in a reduced EPWPR build-up between the two structures. Attenuation of the high-frequency components in the seismic wave was also observed in the soil between two structures. The tunnel structure exhibited a vertical stretching deformation at around 15° angle from the vertical direction. The soil beneath the station has compensated for the soil loss caused by the uplift of the model tunnel during the process of tunnel uplift under input motion with high GPA. These new findings in the case of SSSI is helpful for the design and construction of underground structures.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106541"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimum design specifications of TBM cutterheads in soft ground conditions based on field data analysis","authors":"Ebrahim Farrokh","doi":"10.1016/j.tust.2025.106522","DOIUrl":"10.1016/j.tust.2025.106522","url":null,"abstract":"<div><div>This study aims to identify optimal layout designs and specifications for maximizing the advance rate of tunnel boring machines (TBMs) in soft ground tunneling projects. Field data from numerous projects were analyzed, utilizing a database compiled by the author over the past 20 years. The paper discusses the classification of ground types, center opening types, and scraper layout designs based on the information available in the database. The major design parameters of soft ground TBM cutterheads, including average opening ratio, opening ratio along the radius, and opening width along the radius, are extracted and correlated with TBM diameter, ground type, and center opening type. The findings provide valuable insights for the design of optimal openings in soft ground excavation conditions.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106522"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a whole process engineering approach for enhancing physical and psychological health in underground environments: A systematic review","authors":"Isabelle Y.S. Chan ,&nbsp;Samuel Twum-Ampofo ,&nbsp;Benjamin K. Ababio ,&nbsp;Frank Ato Ghansah ,&nbsp;Shimeng Li","doi":"10.1016/j.tust.2025.106530","DOIUrl":"10.1016/j.tust.2025.106530","url":null,"abstract":"<div><div>The unique conditions of underground environments have sparked substantial interest in health-centric studies over the past decades. In parallel, whole process engineering (WPE), influenced by rapid digitalisation, is gaining ground to improve urban sector development. While WPE considerations are emphasised in aboveground projects, underground developments have historically received insufficient attention. This research consolidates existing literature on human health across the development phases of underground projects. It quantitatively analysed the research trend and regional distributions of underground health-related papers and reported three significant themes of studies prevalent in the literature. These themes include health-centric underground environment quality, underground space and task design, and the measurements and monitoring of health and environmental indicators. The findings also highlight the importance of utilising digital and biometric technologies like building information modelling (BIM) and electroencephalography (EEG) in fostering lifecycle health management for underground developments. Based on the findings, a WPE knowledge framework for health-centric underground space development is developed, followed by a health-centric WPE workflow. The study provides stakeholders with a systematic approach to proactively address physical and psychological health concerns across different phases in underground developments.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106530"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A sensitivity study and robustness evaluation of the CWFS and DISL approaches for brittle failure continuum modelling around underground excavations","authors":"L.F. Gomez de Alba ,&nbsp;A.G. Corkum ,&nbsp;N. Bahrani ,&nbsp;D. Mas Ivars","doi":"10.1016/j.tust.2025.106523","DOIUrl":"10.1016/j.tust.2025.106523","url":null,"abstract":"<div><div>Numerical modelling of tunnels in brittle rock is a challenging endeavour for rock mechanics engineers. Multiple methods have been developed to aid in the design of underground excavations that are prone to brittle failure. For rock mechanics practitioners, the most useful tools are those that adequately and objectively represent the ground reaction, and can be interpreted without excessive qualitative judgement. With these goals in mind, continuum numerical models stand out amongst other methods. Two approaches that make use of continuum numerical modelling are the Cohesion Weakening Friction Strengthening (CWFS) and the Damage Initiation Spalling Limit (DISL)<em>.</em> To test their robustness, a sensitivity analysis of the strength parameters was conducted. The approaches were then applied to multiple fictitious stress scenarios to test their capability of reproducing empirical observations of depth of failure. The present investigation shows that the CWFS approach is a robust approach for modelling brittle failure around tunnels that can be easily applied and interpreted by rock mechanics practitioners. The sensitivity analysis of the CWFS parameters provided a full understanding of the practical impact of input parameter selection, some of which were not previously given in the literature. The DISL approach has been shown to also perform suitably, but requires the user to apply a fundamental understanding of numerical modelling for its effective interpretation.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106523"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of FEM and DL for seismic performance prediction and optimization design of tunnels","authors":"Bin Ruan ,&nbsp;Yang Chen ,&nbsp;Yipei Ye ,&nbsp;Zhenglong Zhou ,&nbsp;Hao Huang","doi":"10.1016/j.tust.2025.106535","DOIUrl":"10.1016/j.tust.2025.106535","url":null,"abstract":"<div><div>To address the challenge of the complex and extensive seismic design elements of tunnels, which are difficult to be accurately described using mathematical functions, a novel model combining convolutional neural networks (CNN), gated recurrent units (GRU), and an attention mechanism is proposed. Firstly, based on actual engineering examples, the tunnel dimensions and site soil information are determined to establish a numerical model of tunnel seismic response and verify its reliability. Then, the soil parameters, seismic motion amplitude, tunnel depth, and overlying water depth are selected for systematic analysis of the displacement momentum (DM) and time of maximum damage occurrence (TMDO). The parameters with higher influence are chosen as input variables, while the calculated DM and TMDO from the reliable numerical model are selected as the output variables to be predicted. Next, integrating the GRU model to capture long-term dependencies in time series, the CNN model to extract spatial features, and the attention mechanism to handle complex relationships among multiple variables, the CNN-GRU-Attention prediction model was established. By generating dataset samples through numerical simulation, accurate predictions of DM and TMDO were achieved. Finally, using the proposed model to establish the objective function relationship between input and output parameters, employing the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to find the optimal input design features, achieving the optimal design of tunnel seismic performance. The results show that: (1) The calculation results of the numerical model for tunnel seismic response conform to general research findings, indicating sufficient reliability. (2) The error compensation and dynamic updating mechanisms improved prediction accuracy. The R² values for the training set reach 0.973 and 0.982 respectively. (3) Optimizing DM and TMDO using the NSGA-II algorithm leads to a 23.42% reduction in DM and a 18.71% increase in TMDO. After optimization, tunnel displacement is reduced, damage is delayed, and seismic performance is significantly improved.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106535"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation for non-uniform seismic motion based on frequency-wavenumber spectrum and its application in seismic analysis of long tunnels","authors":"Juncheng Wang ,&nbsp;Yongxin Wu ,&nbsp;Jiazhi Yang ,&nbsp;Bin Ruan ,&nbsp;Yue Hou","doi":"10.1016/j.tust.2025.106537","DOIUrl":"10.1016/j.tust.2025.106537","url":null,"abstract":"<div><div>The simulation of non-uniform seismic motions is critical for the seismic design of important underground structures such as long tunnels. However, the classic Spectral Representation Method (SRM) for simulating non-uniform seismic motions requires matrix decomposition, which consumes substantial memory and has low computational efficiency. This study proposes a non-uniform seismic motion simulation method based on the Frequency-Wavenumber Spectrum (FWS). The method considers the impact of different coherence function models and incorporates an acceptance-rejection scheme to optimize the computational efficiency of energy distribution. The accuracy of the method is validated by comparing the simulated values (mean, standard deviation, auto-power spectral density, and coherence) of different coherence function models with their target values. Finally, the seismic response analysis of a long tunnel subjected to seismic motions with different coherence function models and varying PGAs is conducted. The results indicate that seismic motions with different coherence function models significantly influence the maximum intersegment opening width and internal force response of the long tunnel. Seismic motions under a strong coherence model lead to greater displacement responses, whereas those under a weak coherence model induce more pronounced internal force responses. Under the influence of seismic motion coherence, the long tunnel responses exhibit notable differences under varying PGAs’ seismic motions. In particular, at higher PGAs, the response characteristics of the tunnel may change, potentially increasing the risk of structural failure. These findings provide valuable insights for the seismic design of long tunnels.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106537"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term properties of grout-soil composite eroded by seawater environment in submarine tunnel","authors":"Chengqian Wang ,&nbsp;Peng Li ,&nbsp;QingSong Zhang ,&nbsp;Tianshu Wang","doi":"10.1016/j.tust.2025.106519","DOIUrl":"10.1016/j.tust.2025.106519","url":null,"abstract":"<div><div>The grouting method plays a critical role in preventing seawater intrusion in submarine tunnels, particularly in regions with highly weathered rock that are susceptible to erosion and shifting seawater. The long-term properties of the strength and impermeability of the grout–soil composite are related to the durability of the tunnel lining structure, which is an important focus of the present research. This study introduces a new method for calculating material ratios to determine the optimal proportions of each component in grout–soil composites. A specialized experimental setup was designed to replicate the erosive conditions of seawater in environments characterized by significant rock weathering. The primary objective of this investigation was to analyze the weakening effects of seawater ions (e.g., Mg²⁺, SO₄²⁻, Cl⁻) on the grout–soil composite under dynamic seawater flow conditions. Therefore, the influence of water-cement (W-C) ratio, grouting pressure, and erosion duration on the compressive strength and permeability coefficient of the composite was studied. Furthermore, microscopic analyses were conducted to investigate the microstructure and composition of the weakened composite specimens. Finally, the model of damage weakening in grouted composite has been established. The experimental results indicate that the erosive ions (Cl⁻, SO₄²⁻) initially enhance and then weaken the strength and impermeability of the grouted composite, while Mg²⁺ ions continuously degrade the strength of the composite. Reducing the water-to-cement ratio and increasing the grouting pressure can improve the strength and impermeability of the grouted composite, but once a certain threshold is reached, the enhancement effect becomes negligible. Under different dynamic water environments and with various erosive ions (Cl⁻, SO₄²⁻, Mg²⁺, and seawater), the compressive strength of the specimens at the end of the erosion process decreased by 25.49%, 31.21%, 50.34%, and 39.70%, respectively, compared to static freshwater. The permeability coefficient increased by 8.5 times, 3.2 times, 5.8 times, and 8.9 times, respectively. As the W/C ratio increased from 0.8 to 1.2, the compressive strength decreased by 27.67%, 38.97%, 65.70%, and 44.58%, respectively, and the permeability coefficient increased by 55.24%, 59.70%, 134.23%, and 44.49%. As the grouting pressure increased from 1.5 MPa to 2.5 MPa, the compressive strength increased by 48.90%, 162.60%, 163.71%, and 48.35%, respectively, while the permeability coefficient decreased by 53.76%, 40.05%, 73.69%, and 32.89%. The findings of this study offer valuable insights into the erosion mechanism of grout–soil composites induced by seawater ions, thereby contributing to enhanced durability and longevity of submarine tunnel infrastructure.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106519"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational Investigation of shearer movement and drum rotation effects on airflow and methane dispersion in longwalls using integrated dynamic and overset meshing","authors":"Sadegh Sadeghi,&nbsp;Saiied M Aminossadati,&nbsp;Mehmet Kizil,&nbsp;Christopher Leonardi","doi":"10.1016/j.tust.2025.106500","DOIUrl":"10.1016/j.tust.2025.106500","url":null,"abstract":"<div><div>The movement of mining equipment complicates predicting and managing methane dispersion, with the dynamic interaction between machinery and gas flows significantly impacting methane concentrations and safety. This computational study investigates the impact of shearer operation on airflow, methane and oxygen dispersions in longwall mining using advanced transient computational fluid dynamics (CFD) simulations. For this purpose, dynamic and overset meshing techniques are innovatively integrated to model both translational (0.5 m/s) and rotational (60RPM) shearer movements, providing an advanced approach to improving accuracy while reducing computational costs in dynamic scenarios. To capture the intricate interactions between the moving shearer and methane dispersion, the computational domain is also divided into five sub-zones. The dynamic model’s performance is validated using existing experimental data. Additionally, unlike earlier studies that simplified methane flow from mining face as uniform, our research presents a more realistic scenario where methane concentration peaks in front of the moving shearer and dynamically shifts along the mining face as the shearer progresses. The results indicate that the shearer’s movement and counter-rotating cutting drums create significant turbulence, altering airflow that can substantially affect the dispersion of gas around the cutting face and tailgate. The average gas flow velocity at the tailgate after 80 s increases from 3.59 (non-operating condition) to approximately 5.78 m/s as the shearer advances, while average methane concentration at the tailgate reaches 2.4 %. The findings of this research contribute significantly to improving mining safety and ventilation design, particularly through the improvement of real-time methane measurement under dynamic conditions in underground mining.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106500"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An efficiently designed CNN-Transformer fusion network for automatic and real-time microseismic signal classification","authors":"Dingran Song ,&nbsp;Feng Dai ,&nbsp;Yi Liu ,&nbsp;Hao Tan ,&nbsp;Mingdong Wei","doi":"10.1016/j.tust.2025.106534","DOIUrl":"10.1016/j.tust.2025.106534","url":null,"abstract":"<div><div>The automatic, rapid, and accurate identification of microseismic (MS) signals is paramount for real-time rockburst hazard early warning. However, the identification robustness and accuracy of current MS signal classification algorithms face significant challenges due to severe noise interference and limited deployment resources in practical engineering applications. In this study, a lightweight and robust CNN-Transformer fusion network, termed MS-LRFormer, is proposed for more precise and real-time MS signal classification. The MS-LRFormer features a hierarchical pyramid structure, enabling multi-scale feature representations to capture structural and semantic information across varying levels of the input data, thereby enhancing its classification robustness and accuracy. Specifically, a vertical stacking strategy is adopted, in which the lightweight CNN modules are employed for early-stage local information extraction and the efficient Transformers are used for capturing long-range dependencies in later stages. The extracted high-level semantic information is ultimately fed into the attention-based SeqPool module for feature compression and signal classification. To comprehensively evaluate its performance, the proposed MS-LRFormer is assessed across five distinct evaluation methods, in which results from the held-out test set demonstrate an impressive classification accuracy of 98.2%. Compared to seven industry-leading deep learning models, MS-LRFormer exhibits superior feature extraction capabilities, a lightweight design, and enhanced robustness. Moreover, the practical on-site application further validates the lightweight and robust performance of the MS-LRFormer, classifying 13,918 field waveform samples in 165 s with an accuracy of 98.9%, confirming its suitability and potential for widespread engineering applications.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106534"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TBM rock fragmentation classification using an adaptive spot denoising and contour-texture decomposition attention-based method","authors":"Guoqiang Huang,&nbsp;Chengjin Qin,&nbsp;Haodi Wang,&nbsp;Chengliang Liu","doi":"10.1016/j.tust.2025.106498","DOIUrl":"10.1016/j.tust.2025.106498","url":null,"abstract":"<div><div>The particle size and morphology of the rock slag on the TBM conveyor belt are important for the driver’s adjustment of the tunneling parameters. However, the light source at the shooting site produces strong light pollution on the rock image, which greatly affects the image recognition results. This paper proposes an image adaptive spot denoising combined with contour-texture decomposition attention-based method for TBM rock fragmentation classification (AD-CDAN). The proposed method first calculates the global threshold from the grayscale distribution, performs image threshold segmentation to achieve light noise region localization, and then locally fills the texture after image Gaussian smoothing to achieve adaptive denoising. Then, the denoised image is fed into the decomposition attention block, where contour-texture decomposition is carried out for each feature map, and an exactor is presented to optimize the decomposition effect by mapping the decomposition hyperparameters from the input. Meanwhile, the normalized channel attention is computed from the input to output the feature maps with weights. Next, the output results are summed with the features obtained after downsampling the input image, and feedforward processing is performed to obtain the output of a single decomposition attention block. Finally, multiple decomposed attention blocks are stacked and the final extracted image contour features are linearly classified. In addition, this paper proposes a method to add light spot noise to simulate the harsh environment that may occur at the TBM construction site. Experimental validations are conducted on two datasets from the Baolin Tunnel project in Hubei Province and one dataset from Sichuan-Tibet Railway. The results show that the average accuracy of AD-CDAN in the two datasets of Baolin Tunnel without additional noise exceed 93%, and exceed 87% in the two datasets-noised. In the dataset from Sichuan-Tibet Railway, the accuracy of AD-CDAN still exceeds 85%. All results show that the accuracy of AD-CDAN exceeds the comparative models by 2.38%-42.87%, which verifies the effectiveness, superiority, and strong robustness of the proposed AD-CDAN, indicating that the method can be adapted to harsher working environments and provide important support for the safe tunneling of TBM.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"161 ","pages":"Article 106498"},"PeriodicalIF":6.7,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}