Tunnelling and Underground Space Technology最新文献

{"title":"Application of a novel pipe roofing method in metro station: Construction disturbance characteristics and prediction model","authors":"Bo Lu, Wen Zhao, Ben-Guo He, Benzhe Ding, Xiaoli Zhou, Pengjiao Jia","doi":"10.1016/j.tust.2025.107169","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107169","url":null,"abstract":"Pipe roofing method, distinguished by its low disturbance, high adaptability, and excellent structural integrity, has emerged as a key solution for shallow-buried, large-span projects. Conventional pipe roofing methods face persistent challenges such as difficult inter-pipe soil removal and complex connection arrangements, which limit their efficiency and applicability. To overcome these limitations, this study proposes a novel pipe roof–concrete slab (PRCS) composite structure and demonstrates its application in the construction of a metro station. The characteristics of surface settlement, tunnel deformation, and surrounding building settlement throughout the construction process, particularly during critical stages, were systematically analysed. The results show that the demolition of the pilot tunnel wall and construction of the roof slab induced the most significant disturbance, resulting in a maximum cumulative surface settlement of 24.1 mm, a maximum building settlement of 7.08 mm, a tunnel crown settlement not exceeding 4 mm, and a clearance convergence below 5 mm. Besides, a surface settlement prediction model based on a VMD–KPCA–CNN–LSTM hybrid neural network was developed, which comprises five steps: data collection, anomaly detection and preprocessing, feature extraction, feature dimensionality reduction, and model prediction. The model achieved outstanding prediction accuracy (RMSE = 0.89 mm, MAE = 0.34 mm, MAPE = 11.21 %, R<ce:sup loc=\"post\">2</ce:sup> = 0.98), significantly outperforming benchmark models such as LSTM, XGBoost, GRU, MLP, and BP. This research provides an innovative construction method and a high-precision predictive model for safety assessment in urban underground space development.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"160 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315200","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":"Analysis of influencing factors of rockburst surrounding rock failure under dynamic and static loads","authors":"Feng Chen, Ruxuan Li, Yishan Pan, Yanhong Du, Tianhui Ma, Kaixing Wang, Jinyang Du","doi":"10.1016/j.tust.2025.107179","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107179","url":null,"abstract":"Rockburst is a serious hazard in tunnel engineering. The key to preventing and controlling rockburst is to clarify the main factors affecting its occurrence. The influence of various factors on rockburst failure under combined dynamic and static disturbance is analyzed by orthogonal test from both theoretical and numerical simulation perspectives. The results show that the amplitude of dynamic load is the key factor inducing rockburst in horseshoe tunnels, playing a dominant role in surrounding rock failure. The sidewall of shallow tunnel is more sensitive to dynamic loads. As the tunnel radius increases, the failure depth of the surrounding rock increases linearly, with the roof growing faster. A tunnel radius of 3–4 m is considered the optimal design range. Intact large-size rocks have a stronger ability to accumulate energy during rockburst, forming deeper burst pits and larger shedding rock blocks, resulting in higher rockburst intensity. The failure of surrounding rock decreases with increasing elastic modulus and increases with increasing buried depth, with the roof being less affected than the sidewall. When the lateral pressure coefficient is lower than 0.8, failure is primarily concentrated in the sidewall, while for coefficients higher than 0.8, failure is primarily concentrated in the roof. Under the same conditions, sidewall failure is more severe than roof failure. The tunnel radius and buried depth have a greater impact on sidewall failure, with smaller tunnel radius being more conducive to sidewall stability. The lateral pressure coefficient and buried depth have a greater impact on roof failure. Overall, sidewall failure is more severe than roof failure under the same conditions.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"58 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315198","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":"Suffusion in shield tunnel surrounding soils under train vibration using an improved DEM-PNM coupling method","authors":"Si-Rui Chen, Dong-Mei Zhang, Xiao-Chuang Xie, Zhao-Geng Chen, Hui-Hao Chen, Hai-Yun Li","doi":"10.1016/j.tust.2025.107130","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107130","url":null,"abstract":"Tunnel leakage facilitates the infiltration of sand particles into the tunnel, thereby inducing suffusion phenomena. Furthermore, train vibrations exert substantial dynamic effects on both particle and fluid phases around the tunnel, amplifying the suffusion. This soil erosion not only compromises the tunnel’s structural stability but also elevates risks to adjacent surface structures. Nevertheless, the impact of vibration on suffusion remains incompletely understood. This study employs an improved DEM-PNM coupling framework to investigate the mechanisms of vibration on suffusion in gap-graded soils from a microscopic perspective. A representative element-scale model replicating suffusion conditions of tunnels is developed. Vibration loads with varying amplitudes and frequencies derived from field measurements are applied to the model base. Based on this model, this study reveals the impact of vibration on suffusion and investigates its mechanisms from four perspectives: geometric, hydraulic, mechanical conditions, and pore-scale suffusion process. Furthermore, the impact of multiple train passes on suffusion around tunnels is further explored. Results suggest that train vibration exacerbates the suffusion around tunnels, inducing a significant increase in mass loss and particle migration distance compared to static conditions. Vibration has significant impacts on the geometric, mechanical, hydraulic conditions, and pore clogging states of soil. Higher frequencies and amplitudes result in more mass loss. Suffusion intensifies whenever the train passes, indicating that the long-term risks of suffusion to shield tunnels under vibration. This study gives critical insights into train vibration-driven suffusion for urban underground infrastructure.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"12 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315199","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":"Advanced GEP-probabilistic-based modeling for predicting tunneling-induced groundwater drawdown: A case study of the Uma Oya Multipurpose development project","authors":"Sobhan Mousavi, Ali Noorzad, Meisam Mahboubi Niazmandi, Farshad Majidi, Andrea Ciancimino","doi":"10.1016/j.tust.2025.107176","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107176","url":null,"abstract":"Groundwater drawdown from water ingress or tunnel seepage discharge is a critical challenge in tunneling operations, often causing ground settlement, increased costs, and excavation hazards. This study proposes Gene Expression Programming (GEP) models developed from 13 months of in-situ data to predict groundwater level (GWL) drawdown induced by tunneling. The models incorporate eight critical parameters, including Rock Mass Rating (RMR), rainfall, borehole distance, Poisson’s ratio, and four water ingress factors, applied to the headrace tunnel of the Uma Oya Multipurpose Development Project in Sri Lanka. A four-phase methodology was employed: data preparation, GEP model development with optimized expression trees, model performance analysis, and probabilistic integration using Monte Carlo simulations (MCs). The hybrid probabilistic-GEP model accurately predicts tunneling-induced GWL drawdown, achieving high reliability with an R<ce:sup loc=\"post\">2</ce:sup> of up to 0.964 and low prediction errors (e.g., MAE of 2.20). Sensitivity analysis revealed that water ingress parameters and borehole distance significantly influence GWL drawdown, with a critical threshold at 600 lit/s. MCs enhance reliability by quantifying uncertainties. This approach provides tunnel engineers with a practical tool for mitigating environmental impacts and optimizing water resource management in complex tunneling projects.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"21 3 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315203","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":"Subway station facility layout optimization for efficient evacuation: a hybrid method of adaptable queueing network and heuristic retrieval","authors":"Chen Junfeng, Lo Siuming, Zhou Yiqi, Yue Shunyu, Zhong Maohua, Hua Fucai, Li Weicong","doi":"10.1016/j.tust.2025.107173","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107173","url":null,"abstract":"Safe and efficient evacuation is a key issue for underground transportation systems, especially subway stations with overcrowded passengers and narrow spaces. This work aims to provide a subway station facility layout design adjustment method for evacuation performance optimization. An adaptable queueing network is constructed to simulate the evacuation process. A heuristic search workflow based on the genetic annealing algorithm is designed for the optimal evacuation facility layout search. A verification framework for facility layout adjustment is constructed from both daily operation and emergency evacuation situations. A real subway station in Guangzhou is adopted as a case study to testify the applicability of the proposed method. The results suggest that (1) The evacuation facility layout could be effectively optimized with the proposed method. The optimal facility layout presents a 6.85% evacuation performance improvement compared with the current design in the peak hour scenario. (2) There is a broad space for facility layout optimization. About 90% of the randomly generated facility layouts have a better evacuation performance compared with the current design. (3) The robustness of the facility layout optimization method is validated in evacuation scenarios with a stable optimal facility location and daily operation scenarios with unvaried operation capacity. This hybrid method could become a quantitative evaluation tool for decision-makers and designers to identify the optimal facility layout and promote the efficiency of evacuation in buildings with complex structure.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"49 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315205","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":"Energy-driven modeling and dominant factor analysis of disc cutter wear across different cutterhead regions in hard rock tunneling utilizing XGBoost","authors":"Zhao Cui, Cuixia Su, Haimei Xie, Qian Zhang, Yilan Kang","doi":"10.1016/j.tust.2025.107177","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107177","url":null,"abstract":"Disc cutter wear significantly affects the efficiency and safety of TBM excavation in hard rock tunneling. To enhance wear management, region-specific wear estimation and dominant factors analysis are required for the inner, face and edge cutters of the cutterhead. Therefore, a comprehensive characterization of the cutter–rock interaction process should be considered. This study established an energy-based modeling framework to quantitatively estimate disc cutter wear and identify the dominant wear factors in each region. The cutter–rock interaction was characterized through deriving an energy‑based feature set that primarily focused on sliding friction, rolling friction and impact energy. Actual engineering data were used to develop XGBoost models for wear estimation in different cutterhead regions based on these energy features. The results showed that energy-driven models achieved higher estimation accuracy compared to models using only operational parameters. The XGBoost modeling combined with SHAP analysis revealed that sliding friction was the dominant wear factor for inner cutters, rolling friction and impact were primary for face cutters, while edge cutter wear was mainly governed by impact and sliding friction. This energy-driven modeling approach not only enabled accurate wear estimation but also clarified the dominant mechanisms of cutter wear across different cutterhead regions, offering guidance for wear management and failure prevention in TBM operations.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"1 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315204","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":"Coal mine underground water reservoirs: A sustainable water storage solution for mining areas","authors":"Zhengyang Song ,&nbsp;Yue Zhao ,&nbsp;Guido Blöcher ,&nbsp;Deyan Tian ,&nbsp;Elena Petrova ,&nbsp;Fei Wang ,&nbsp;Kavan Khaledi","doi":"10.1016/j.tust.2025.107143","DOIUrl":"10.1016/j.tust.2025.107143","url":null,"abstract":"<div><div>Mine-based underground water reservoirs exhibit diverse designs and applications worldwide. Such water storage systems, constructed in active or abandoned mines, can significantly reduce water resource wastage and pollution in mining areas while improving water utilization efficiency. This review focuses on a typical form of coal mine underground water reservoir (CMUWR) composed of coal pillars and artificial concrete dams. From the micro, meso, and macro perspectives, this review systematically summarizes the qualitative and quantitative influences of mine water properties, load disturbances, wet-dry cycles on the stability of coal pillars, artificial dams, and surrounding rocks. At the microscale, specific attention is given to the deterioration mechanisms of rock and coal mineral particles under groundwater conditions with varying pH and salinity, revealing the physicochemical processes of water–rock reactions and categorizing typical degradation patterns with corresponding mitigation measures. At the mesoscale, based on laboratory mechanical experiments, the review outlines the loading conditions corresponding to different reservoir structures and synthesizes the quantitative weakening effects of loading mode, wet-dry treatments and duration, load magnitude, rate, and frequency on the strength of coal pillars, artificial dams, and surrounding rocks, while discussing the scaling relationship from laboratory to engineering practice. In the discussion section, from the macro engineering perspective, multiple practical cases of mine-based reservoirs worldwide are compared, the key technologies, advantages, and limitations of different reservoir types are summarized, and the current research gaps are highlighted. Finally, future directions are proposed, emphasizing the integration of experimental, modeling, and field-scale approaches to advance the development of CMUWR.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"168 ","pages":"Article 107143"},"PeriodicalIF":7.4,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145290043","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":"Sequential data assimilation for digital twin modeling of shield tunnel structure-soil interaction systems","authors":"Xiancheng Li,&nbsp;Lijun Ye,&nbsp;Xuecheng Bian","doi":"10.1016/j.tust.2025.107168","DOIUrl":"10.1016/j.tust.2025.107168","url":null,"abstract":"<div><div>Developing digital twin models for long-serviced shield tunnels is important for the safe operation and maintenance decision-making of tunnels. However, shield tunnel structure-soil interaction systems involve complex multi-physics coupling behaviors and may suffer from localized defects. Establishing a digital twin model capable of tracking and accurately predicting the system states and behaviors remains challenging. To address this issue, by extending the ensemble Kalman filter with subset simulation (EnKF-SuS), a rigorous and efficient Bayesian updating method, to the recursive Bayesian framework, a sequential data assimilation (DA) scheme for digital twin modeling was proposed, which aims to update the model and estimate possible system states by assimilating new observations. To validate the performance of the proposed method, finite element models incorporating tunnel construction and thermo-hydro-mechanical (THM) coupling were developed. The reliability of forward modeling was validated against the analytical solutions of segmental lining mechanical responses and field data from an energy tunnel. Then, based on a real-world energy tunnel and a scenario involving the hydraulic performance degradation of the lining joint respectively, the uncertainty quantification results and computational time of the developed algorithm for updating model inputs (including time-invariant/variant parameters) and predictions were examined. Results indicate that the proposed method can timely track and accurately estimate the time-varying system states and behaviors by integrating the model with sparse observational data.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"168 ","pages":"Article 107168"},"PeriodicalIF":7.4,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145289978","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":"Restoring lighting quality in highway tunnels during luminaire malfunction conditions: An optimization-based luminous flux redistribution strategy","authors":"Xiaoxia Wang ,&nbsp;Qinghao He ,&nbsp;Peng Cao ,&nbsp;Mengjun Wu ,&nbsp;Yiting Jiang ,&nbsp;Haoyang Zhou ,&nbsp;Bin Yang","doi":"10.1016/j.tust.2025.107161","DOIUrl":"10.1016/j.tust.2025.107161","url":null,"abstract":"<div><div>The enclosed lighting environment in highway tunnels exacerbates accident risks. Prolonged operation of light emitting diode (LED) luminaires commonly results in lumen depreciation, and the associated random failure rate escalates with the extent of this decay, posing a significant threat to driving safety within tunnels. This study proposes a tunnel lighting optimization framework that integrates a hybrid intelligent algorithm, combining particle swarm optimization-differential evolution-simulated annealing (H-PDS) with three-dimensional (3D) illuminance modeling. Based on dual standards from the Chinese JTG/T D70/2-01-2014 (JTG) and the international commission on illumination (CIE), an innovative 3D illuminance field model incorporating luminaire pitch angle correction is developed. This model utilizes coordinate transformation matrices to analyze the impact of installation position, offering enhanced accuracy over conventional models. To address the multi-peak optimization problem inherent in tunnel lighting, a hierarchical H-PDS algorithm is designed. Its global layer utilizes particle swarm optimization (PSO) for a coarse search of the solution space. The local layer incorporates differential evolution (DE) combined with the metropolis criterion from simulated annealing (SA) to effectively escape local optima. Concurrently, a constraint layer dynamically regulates the luminous flux boundaries. Experimental results indicate that, under a single-luminaire failure condition, the proposed framework enhances overall uniformity and lane centerline longitudinal uniformity by more than 7% and 12%, respectively, thereby effectively counteracting the uniformity degradation induced by lumen depreciation. This study contributes theoretical methodologies and technical tools for enhancing reliability and enabling dynamic control of tunnel lighting systems, offering significant practical engineering value in reducing accidents associated with dark adaptation.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"168 ","pages":"Article 107161"},"PeriodicalIF":7.4,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145289979","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":"Dynamic response and failure characteristics of twin-arch tunnels reinforced with steel strips under pulse-like ground motions: Insights from shaking table tests","authors":"Langzhou Tang, Li Yu, Zexing Li, Zhen Cui, Yang Xiao","doi":"10.1016/j.tust.2025.107171","DOIUrl":"https://doi.org/10.1016/j.tust.2025.107171","url":null,"abstract":"Twin-arch tunnels are widely employed in mountainous regions worldwide due to terrain constraints and alignment difficulties. However, when crossing near-fault seismic zones, these structures face significant seismic challenges. Compared with far-field earthquakes, near-fault earthquakes are characterized by long- period, high-velocity pulse motions, which impose more severe impacts on tunnel structures. Compared with conventional single-hole tunnels, twin-arch tunnels exhibit larger spans, weaker connections linking the main lining to the central wall, and unfavourable width-to-height ratios of the central wall, making their seismic resistance more vulnerable. Therefore, this study focuses on a near-fault twin-arch tunnel project and performs a shaking table model test to examine the dynamic response of the twin-arch tunnel and the performance of steel strip reinforcement under pulse-like ground motions. The results show that the acceleration amplification factor increases with elevation but decreases above the twin-arch tunnel with higher peak ground acceleration due to plastic flow damping. Conversely, it increases below the tunnel as the soil becomes denser and dissipates less energy. Under pulse-like ground motion, the acceleration amplification factor beneath the tunnel is lower than that under ordinary ground motion. The central wall mainly transmits seismic inertial forces, with its acceleration influenced by structural connections, whereas dynamic amplification in the inverted arch results from energy concentration because of its geometry. The arch shoulder adjacent to the central wall experiences the highest peak soil pressure. Pulse-like ground motion has a stronger impact on the soil above the tunnel and induces higher peak strains and internal forces than ordinary ground motion does. Steel strip reinforcement significantly reduces the overall response force of the twin-arch tunnel to pulse-like ground motion but increases the strain concentration at the reinforced–unreinforced junctions.","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"3 1","pages":""},"PeriodicalIF":6.9,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145315047","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}