Tunnelling and Underground Space Technology最新文献

{"title":"Mechanical behavior of novel fast-slide joints in shield tunnels: Insight from an improved analytical method with experimental and numerical validation","authors":"Hanwen Ji ,&nbsp;Jian Chen ,&nbsp;Yu Miao ,&nbsp;Junxing Zheng ,&nbsp;Qinglong Cui","doi":"10.1016/j.tust.2025.106781","DOIUrl":"10.1016/j.tust.2025.106781","url":null,"abstract":"<div><div>The novel fast-slide joint, developed for the emerging synchronous push-and-assembly shield tunneling technology, has been preliminarily implemented. Nevertheless, as this joint represents a structurally vulnerable component relative to the prefabricated concrete segments, it is imperative to evaluate its ultimate bearing capacity under diverse extreme load scenarios. An improved analytical method was developed to facilitate the investigation of the bending behavior of the fast-slide joint. This method discretized the stress and strain distributions on the contact area of concrete segments and presented a simplified constitutive model to describe the tension-deformation relationship of the sliding connector. Through this approach, the method effectively eliminated the need for complex stress integration corresponding to various loading stages, which was required in traditional analytical approaches. An iterative scheme, based on the Newton-Raphson algorithm, was implemented in the proposed method to consider the variations in joint contact states and the nonlinear properties of the joint materials. The proposed method was validated through a combination of full-scale segment joint tests and refined finite element (FE) models, which also elucidated the final failure mode of the fast-slide joint and uncovered the underlying mechanism responsible for the development of penetrating cracks. Parametric analyses were carried out to assess how joint configuration and different loading conditions influence the bearing capacity. Furthermore, the proposed method was shown to offer significant advantages in computational efficiency, with drastically reduced computation times relative to those of the refined FE models.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106781"},"PeriodicalIF":6.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223016","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":"Investigation on three-dimensional large deformation characteristics of tunnel in stratified rock mass with coupled discrete–continuous method","authors":"Chaojun Jia ,&nbsp;Guodong Liang ,&nbsp;Chenghua Shi ,&nbsp;Jun Yu","doi":"10.1016/j.tust.2025.106777","DOIUrl":"10.1016/j.tust.2025.106777","url":null,"abstract":"<div><div>The Xinhuashan tunnel is located in the western region of Hunan Province, China. Although the entrance section is shallowly buried and free from tectonic stress influences, severe large deformations occurred during excavation due to the softening effect of carbonaceous shale under water-rich conditions. The deformation characteristics include large deformation magnitude (on the meter scale), high deformation rate, and pronounced asymmetry. A three dimensional (3D) coupled discrete–continuous model that can modeling such deformation characteristics is proposed based on the knowledge of the tunnel deformation characteristics in carbonaceous shale strata. A parameter calibration method for the numerical model is developed based on the experimental results. The model effectively reflects the dip angle and strike on the large deformation of the tunnel. The results showed that the interlayer deformation in carbonaceous shale contributed nearly 50% to overall deformation. Joints also affect deformation patterns and damage modes. Interlayer deformation is most pronounced at joints intersecting the tunnel profile. Deformation concentrates at the arch location with slow inclination, while steep inclination increases sidewall damage risk. Larger dip angles result in more significant deformations, e.g., a 47% increase at 90° compared to 15°. As dip angle increases, there’s a transition from bending damage to slip deformation. Analyzing tendency and deformation reveals that strike of 45° is the most stable direction for tunnel excavation. Deformations are inhibitory within 0°-45° but rapidly increase for strike higher than 45°. The upper tunnel arch waist is particularly sensitive to shifts in structural tendencies and exhibits significantly higher rates of deformation increase than the arch foot. Strike influences asymmetric deformation in surrounding rock: sidewall deformation intensifies as strike increases, while arch foot deformation decreases.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106777"},"PeriodicalIF":6.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223014","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 assessment of situation awareness in road tunnels: Considering tunnel light environment characteristics and drivers’ physiological perception states","authors":"Jia An Niu ,&nbsp;Bo Liang ,&nbsp;Yiik Diew Wong ,&nbsp;Shiyong He ,&nbsp;Can Qin ,&nbsp;Shuangkai Zhu","doi":"10.1016/j.tust.2025.106775","DOIUrl":"10.1016/j.tust.2025.106775","url":null,"abstract":"<div><div>Interactions with varying light conditions in the road tunnels create a complex and challenging driving environment, leading to dynamic variations in drivers’ situation awareness, which are difficult to characterize. In cognizance of the unique light environment characteristics of tunnels, this study proposes a novel dynamic assessment method for situation awareness, aimed at accurately assessing drivers’ dynamic situation awareness level (DSAL) in tunnel sections yet without intruding on the driving task. First, a quantitative model of the visual perception ability is constructed based on the actual tunnel light environment information and the drivers’ visual perception characteristics. Additionally, an improved model for attention resource allocation, considering the stimulus of the tunnel light environment, is developed. Second, drivers’ physiological perception states in the tunnel sections are represented by fully accounting for the interaction between their visual perception abilities and attention resource allocation mechanisms. Subsequently, the drivers’ dynamic response processes in hazard identification during tunnel driving are quantitatively described by combining their physiological perception states with the adaptive control of thought-rational. On this basis, a highly interpretable DSAL assessment model is constructed using Bayesian conditional probability theory. Finally, the effectiveness and advancement of the assessment method are validated for a case study of real-vehicle driving in eight tunnels. The results indicate that the proposed assessment method achieves an average relative error of 7.90% with a standard deviation of 4.08%, considerably lower than those of other existing non-intrusive assessment methods. Therefore, the DSAL assessment results are closer to actual situation awareness and exhibit excellent stability, demonstrating strong potential for practical applications.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106775"},"PeriodicalIF":6.7,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223015","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":"Parametric study of the seismic resilience of low-lateral-stiffness underground structures","authors":"Xiangbo Bu ,&nbsp;Alberto Ledesma ,&nbsp;Francisco López-Almansa","doi":"10.1016/j.tust.2025.106768","DOIUrl":"10.1016/j.tust.2025.106768","url":null,"abstract":"<div><div>Shallow cut-and-cover underground structures, such as subway stations, are traditionally designed as rigid boxes (moment-resisting connections between the main structural members), seeking internal hyperstaticity and high lateral (transverse) stiffness to achieve important seismic capacity. However, since seismic ground motions impose racking drifts, this proved rather prejudicial, with great structural damage and little resilience. Therefore, two previous papers proposed an opposite strategy seeking low lateral (transverse) stiffness by connecting the structural elements flexibly (hinging and sliding). Under severe seismic inputs, these structures would accommodate racking without significant damage; this behaviour is highly resilient. The seismic resilience of this solution was numerically demonstrated in the well-known Daikai station (Kobe, Japan) and a station located in Chengdu (China). This paper is a continuation of these studies; it aims to extend, deepen, and ground this conclusion by performing a numerical parametric study on these two stations in a wide and representative set of situations characterised by the soil type, overburden depth, engineering bedrock position, and high- and low-lateral-stiffness of the stations. The performance indices are the racking displacement and the structural damage (quantified through concrete damage variables). The findings of this study validate the previous remarks and provide new insights.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106768"},"PeriodicalIF":6.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223069","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":"Tunnel face instability mechanism in layered ground: Theoretical insights and validation based on numerical investigation and field observation","authors":"Qilong Song ,&nbsp;Dong Su ,&nbsp;Xiangsheng Chen","doi":"10.1016/j.tust.2025.106782","DOIUrl":"10.1016/j.tust.2025.106782","url":null,"abstract":"<div><div>Layered ground represents a prevalent geological formation in shield tunnelling projects, posing significant challenges to the stability of the tunnel face. A critical gap in existing research lies in the lack of a clear distinction between layered ground and specific ground types, such as upper soft-lower hard (US-LH) ground, and the absence of a quantifiable criterion for their differentiation. To address this, the ratio of the unconfined compressive strength (<em>q</em>) of the lower soil layer (<em>q_l</em>) to that of the upper soil layer (<em>q_u</em>) was introduced to delineate soft-hard layer distribution. This study investigates tunnel face instability mechanisms in US-LH ground based on the unconfined compressive strength ratio (<em>q_l</em>/<em>q_u</em>), employing theoretical modeling, numerical simulation and field analysis. The findings were successfully applied to the Xingye Express in Zhuhai, China, yielding the following key conclusions: (1) As <em>q_l</em>/<em>q_u</em> increases, the failure angle (<em>α</em>) progressively diminishes; when <em>q_l</em>/<em>q_u</em> surpasses <em>QR</em>_min (defined as the critical threshold distinguishing layered ground and US-LH ground), the failure zone becomes localized to the upper soft layer, with <em>α</em> stabilizing thereafter. (2) <em>QR</em>_min demonstrates greater sensitivity to variations in internal fiction angle (<em>φ</em>) compared to cohesion (<em>c</em>)<em>.</em> Notably, <em>QR</em>_min shows no correlation with increases in <em>C</em>/<em>D</em> or <em>σ_s</em>/<em>γD</em>. (3) It is recommended to prioritize monitoring active instability in the upper soft layer during soil strata excavation, maintaining chamber pressures within 0.8–1.2 times the static soil pressure. Conversely, during rock strata excavation, passive instability in the upper soft layer requires focused attention, with chamber pressures adjusted to 1.3–1.8 times the static soil pressure.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106782"},"PeriodicalIF":6.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223011","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":"Development of a novel external load-controlled permeameter for sand-foam mixtures","authors":"Zhiyao Feng ,&nbsp;Shuying Wang ,&nbsp;Yufeng Shi ,&nbsp;Xiangcou Zheng ,&nbsp;Tongming Qu","doi":"10.1016/j.tust.2025.106767","DOIUrl":"10.1016/j.tust.2025.106767","url":null,"abstract":"<div><div>Foam is commonly injected into the soil chamber to reduce the water permeability of excavated sands during Earth Pressure Shield (EPB) tunnelling. In this study, a novel external load-controlled permeameter is developed to explore the influences of soil pressure on the permeability of sand-foam mixtures. A comparison test is performed on natural sands using the newly developed and conventional permeameter. Excellent agreements in the measured permeability coefficients manifest the validity of the new permeameter, which is then adopted to perform permeability tests on sand-foam mixtures. The obtained results indicate that the permeability of sand-foam mixtures depends strongly on the external load, while the permeability coefficient of natural sands basically remains constant as the external load increases. When the external load increases from 0 kPa to 150 kPa, the permeability coefficient of sand-foam mixtures reduces from 7.92 × 10⁻⁶ m/s to 2.44 × 10⁻⁷ m/s, and the duration of the initial stable period increases from 248 min to 3678 min. In addition, the experimental observations also indicate that the permeability of sand-foam mixtures might be overestimated by conventional permeability tests because the effect of soil pressure is not taken into account.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106767"},"PeriodicalIF":6.7,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213261","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":"Optimized prediction of tunnel stability using advanced machine learning and an ANN-based analytical expression","authors":"Hung La ,&nbsp;Toan Nguyen-Minh ,&nbsp;Tan Nguyen","doi":"10.1016/j.tust.2025.106778","DOIUrl":"10.1016/j.tust.2025.106778","url":null,"abstract":"<div><div>This study introduces a hybrid machine learning framework for predicting the stability of circular and rectangular tunnels in cohesive-frictional soils under surcharge loading. Leveraging high-fidelity datasets generated via Isogeometric Analysis (IGA) and Upper-Bound Limit Analysis (UBLA), the model captures a wide range of geometric and geotechnical scenarios to ensure robust learning and generalization. A Real-Coded Genetic Algorithm (RCGA) and Tree-Structured Parzen Estimator (TPE) are employed for hyperparameter optimization, significantly improving model accuracy compared to traditional numerical and empirical methods. The RCGA-optimized Artificial Neural Networks (ANNs) and CatBoost models demonstrate strong adaptability to varying tunnel geometries and soil conditions. Interpretability is enhanced through SHAP (SHapley Additive exPlanations) values, Accumulated Local Effects (ALE), and Partial Dependence Plots (PDPs), offering valuable insights into the influence of key design parameters. An explicit analytical expression is further derived from the trained model by extracting its weights and biases, enabling rapid and efficient tunnel stability assessments without resorting to computationally intensive simulations. This work establishes a new standard for tunnel stability prediction, combining the strengths of advanced numerical modeling and explainable machine learning to deliver a scalable, interpretable, and practical solution for geotechnical engineering applications.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106778"},"PeriodicalIF":6.7,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213260","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":"Resilient slip-friction connection-enhanced self-centering column for the low-damage prefabricated underground structures","authors":"Zhipeng Zhao ,&nbsp;Yuanchen Tang ,&nbsp;Qingjun Chen ,&nbsp;Minjun Wu ,&nbsp;Yuan Jiang","doi":"10.1016/j.tust.2025.106776","DOIUrl":"10.1016/j.tust.2025.106776","url":null,"abstract":"<div><div>The application of prefabricated assembly technology in underground structures has increasingly garnered attention due to its potential for urban low-carbon development. However, given the vulnerability of such structures subjected to unexpected seismic events, a resilient prefabricated underground structure is deemed preferable for mitigating seismic responses and facilitating rapid recovery. This study proposes a resilient slip-friction connection-enhanced self-centering column (RSFC-SCC) for prefabricated underground structures to promote the multi-level self-centering benefits against multi-intensity earthquakes. The RSFC-SCC is composed of an SCC with two sub-columns and a series of multi-arranged replaceable RSFCs, intended to substitute the fragile central column. The mechanical model and practical manufacturing approach are elucidated, emphasizing its potential multi-level self-centering benefits and working mechanism. Given the established simulation model of RSFC-SCC-equipped prefabricated underground structures, the seismic response characteristics and mitigation capacity are investigated for a typical underground structure, involving robustness against various earthquakes. A multi-level self-centering capacity-oriented design with suggested parameter selection criteria is proposed for the RSFC-SCC to ensure that prefabricated underground structures achieve the desired vibration mitigation performance. The results show that the SCC with multi-arranged replaceable RSFCs exhibits a significant vibration isolating effect and enhanced self-centering capacity for the entire prefabricated underground structure. Benefiting from the multi-level self-centering process, the RSFC-SCC illustrates a robust capacity that adapts to varying intensities of earthquakes. The multi-level self-centering capacity-oriented design effectively facilitates the target seismic response control for the prefabricated underground structures. The energy dissipation burden and residual deformation of primary structures are mitigated within the target performance framework. Given the replacement ease of RSFCs and SCC, a rapid recovery of the prefabricated underground structure after an earthquake is ensured.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"164 ","pages":"Article 106776"},"PeriodicalIF":6.7,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203914","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":"Quantitative analysis of the spalling mechanism of CJPL-II by step excavation under in situ stress using the flat–joint model and moment tensor","authors":"Wei Sun ,&nbsp;Chenxi Zhang ,&nbsp;Shunchuan Wu ,&nbsp;Hao Sun","doi":"10.1016/j.tust.2025.106771","DOIUrl":"10.1016/j.tust.2025.106771","url":null,"abstract":"<div><div>Spalling failure is a typical static failure phenomenon in deep surrounding rock. Resolving the spatiotemporal evolution of the spalling mechanism by step excavation under in situ stress is critical to understanding the spalling occurrence process. However, this evolution is not well understood. In this study, we introduce an alternative perspective for studying the spatiotemporal nature of the source and reanalyze the spalling mechanism of the CJPL-II by step excavation under in situ stress. The nature of source mechanics is quantitatively identified by the flat-joint model and moment tensor. The range and width of slabs are formed, and the tensile mechanisms (nonpure tensile) and implosive mechanisms (nonpure implosion) play dominant roles, while mixed shear mechanisms (shear–tensile/compressive) also contribute. As excavation progresses, the stress field tensor changes significantly, leading to microscopic damage and the formation of localized weakening zones around the tunnel. Our findings raise the question of the“effect of step excavation under in situ stress on the spalling evolution process?”: a mesoscale quantitative perspective using the flat-joint model and moment tensor is meaningful.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106771"},"PeriodicalIF":6.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196051","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":"Gamma Mixture Model-based Domain Adaptation for semi-supervised rockburst risk recognition","authors":"Lingkai Yang ,&nbsp;Jian Cheng ,&nbsp;Xiaoyu Zhang ,&nbsp;Tianbai Zhou ,&nbsp;Yi Luo ,&nbsp;Linsong Shi","doi":"10.1016/j.tust.2025.106646","DOIUrl":"10.1016/j.tust.2025.106646","url":null,"abstract":"<div><div>Rockburst, a hazardous geological event in underground mines and tunnels, presents significant risks to both infrastructure and human safety. Although supervised machine learning (ML) methods have been commonly employed to predict rockburst risks, their accuracy heavily relies on the availability of labelled data. This dependence limits their effectiveness and deployment in mines that lack such datasets. To overcome this challenge, this paper introduces Gamma Mixture Model-based Domain Adaptation (<span><math><mi>Γ</mi></math></span>MMDA), a semi-supervised method for rockburst risk recognition. The approach leverages rockburst influence factor (RIF) data from source mines with expert-labelled risks to enhance predictions in target mines. <span><math><mi>Γ</mi></math></span>MMDA utilizes gamma mixture models (<span><math><mi>Γ</mi></math></span>MMs) to automatically learn RIF distributions in both source and target domains, adapting target samples for risk prediction using classifiers trained on the source domain. Theoretical validation is first conducted on simulated data to assess the method’s strengths and limitations. The effectiveness of <span><math><mi>Γ</mi></math></span>MMDA is further evaluated using four publicly available rockburst datasets, comparing it to two non-transfer learning strategies: Data Ensemble (DE) and Classifier Ensemble (CE), across 10 supervised ML models. Results show that <span><math><mi>Γ</mi></math></span>MMDA outperforms DE and CE in 7 ML models for binary classification (rockburst risks: yes or no) and achieves better performance in 2 out of 3 databases for multiclass classification (rockburst risks: none, light, moderate, and strong), demonstrating its effectiveness.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106646"},"PeriodicalIF":6.7,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144196050","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}