Tunnelling and Underground Space Technology最新文献

{"title":"Numerical investigation of the thermo-hydro-mechanical performance of energy tunnels in stiff ground conditions","authors":"Xiangdong Dai,&nbsp;Guillermo A. Narsilio","doi":"10.1016/j.tust.2025.106749","DOIUrl":"10.1016/j.tust.2025.106749","url":null,"abstract":"<div><div>Energy tunnels represent a promising innovation in the integration of tunnel structures with shallow geothermal energy applications. However, the thermo-hydro-mechanical behaviour of energy tunnels in stiff ground conditions, particularly in rock formations, remains largely understudied. This research addresses this gap by employing a thoroughly validated finite element modelling approach, incorporating both tunnel excavation and geothermal operation stages. The study explores the influence of key rock parameters and site conditions such as rock stiffness, permeability, in-situ stress ratio, and Biot’s coefficient on thermally induced tunnel structural and geotechnical responses. Results indicate that tensile stresses exceeding 4.0 MPa are observed in the tunnel lining during ground cooling (i.e., geothermal heating extraction) when hard, low-permeability rock is encountered. This poses a risk of concrete cracking and potentially compromises tunnel durability. Additionally, the in-situ stress ratio is found to have an insignificant effect during thermal operations, whereas neglecting Biot’s coefficient can lead to over- or underestimations of the thermally induced ground deformation and tunnel stress, due to its effect on hydro-mechanical coupling. The discussion on pore water pressure and effective stress provides insights into the thermo-hydro-mechanical behaviour of energy tunnels under different geological and hydrogeological conditions.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106749"},"PeriodicalIF":6.7,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144066118","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":"Theoretical and numerical investigations of the mechanical responses and damage characteristics of segmental tunnels under reverse faulting","authors":"Henghong Yang ,&nbsp;Mingnian Wang ,&nbsp;Li Yu ,&nbsp;Xiao Zhang","doi":"10.1016/j.tust.2025.106743","DOIUrl":"10.1016/j.tust.2025.106743","url":null,"abstract":"<div><div>Previous analytical models of fault-crossing tunnels have predominantly been based on the assumption of the tunnel being continuous, which is barely present in practical engineering projects. In this study, a theoretical model for the mechanical analysis of segmental tunnels subjected to reverse fault dislocation is proposed, wherein the interactions between the segmental lining and joints are incorporated, significantly improving the application range. A numerical concrete damaged plasticity (CDP) model is subsequently developed, which incorporates both the segmental lining and joints, to investigate the damage characteristics of the segmental tunnel under reverse faulting. Compared with the experimental and numerical results, the proposed theoretical model not only precisely captures the segmental character of the mechanical response of the segmental tunnel under reverse fault dislocation but also has a high degree of computational accuracy, with a maximum error of approximately 7.2 %. Drawing upon the theoretical and numerical models, a parameter analysis is conducted on the segment length (<em>L</em>_seg), distribution range of the segmental lining (<em>W</em>_seg), and fault displacement (<em>R</em>_fd). The results show that the <em>L</em>_seg value should not exceed 20 m and that the <em>W</em>_seg value should be no less than the fault zone width.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106743"},"PeriodicalIF":6.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947378","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":"Time-dependent characteristics of quick-setting slurry rheological parameters with extremely high temperature: Experimental study","authors":"Qingsong Zhang ,&nbsp;Changxin Huang ,&nbsp;Jun Liu ,&nbsp;Lianzhen Zhang ,&nbsp;Xiaochen Wang ,&nbsp;Yan Pei ,&nbsp;Shuo Zhou ,&nbsp;Zongjian Yang","doi":"10.1016/j.tust.2025.106750","DOIUrl":"10.1016/j.tust.2025.106750","url":null,"abstract":"<div><div>The increasing number of deep-buried tunnel projects has made high-temperature water inrush disasters a severe challenge for tunnel construction. Grouting has been proven to be one of the most effective measures against such disasters, with quick-setting slurry being the most commonly used grouting material. Nevertheless, time-dependent characteristics of quick-setting slurry rheological parameters under high temperatures remain insufficiently understood, which affects the prediction of the grouting effect. To fill this knowledge gap, this study proposed a fixed-shear rate rheological testing method, which suits the extremely short phase transition duration of quick-setting slurry under high-temperature conditions. Taking the cement-sodium silicate slurry (C-S slurry) as a typical quick-setting slurry, the relationships between slurry shear stress and shear rate under different temperatures and slurry proportions were studied. The results revealed that the slurry flow pattern remained that of a Bingham fluid and neither temperature nor slurry proportions could alter this flow behavior. Nevertheless, the fluid–solid phase transition process could be significantly affected by the temperature and slurry proportion. Increases in temperature and the cement to sodium silicate volume ratio (c/s ratio) could shorten the slurry phase transition duration by up to 60 % and 89 % respectively. Conversely, an increase in the water to cement ratio (w/c ratio) would extend the phase transition time by a maximum of 25 %. In addition, the peak yield stress and viscosity of the slurry dropped with the increase in temperature and w/c ratio, while with the decrease in c/s ratio. Compared to 10 °C, the peak yield stress and viscosity decreased by 51 % and 37 % respectively at 90 °C. At a w/c ratio of 1.6, the peak yield stress and viscosity dropped by 47 % and 67 % relative to 0.8. With a c/s ratio of 1, the peak yield stress and viscosity decreased by only 18 % and 28 % compared to 3. The effect of temperature and the w/c ratio on peak yield stress and viscosity of the slurry was more pronounced than the c/s ratio. Time variation curves of slurry yield stress and viscosity during the fluid–solid phase transition process conformed to power functions. Constitutive equations of C-S slurry with different temperatures and proportions during the whole phase-transition process were established, which are expected to provide theoretical basis for grouting control and water disaster treatment in deep buried tunnels.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106750"},"PeriodicalIF":6.7,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947377","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":"Research on the excavation compensation control mechanism and design method of the deep soft rock chamber group","authors":"Yubing Huang ,&nbsp;Bei Jiang ,&nbsp;Liangdi Yao ,&nbsp;Qi Wang ,&nbsp;Hongdi Tian ,&nbsp;Zhongxin Xin ,&nbsp;Yukun Ma","doi":"10.1016/j.tust.2025.106746","DOIUrl":"10.1016/j.tust.2025.106746","url":null,"abstract":"<div><div>To control the surrounding rock of a deep chamber group, this paper establishes a mechanical model for the disturbance effect of deep chamber group excavation, analyzes the stress evolution law of the surrounding rock during the construction process of chamber groups, and proposes a compensation control method for deep chamber group excavation with “stress compensation, surrounding rock reinforcement, and excavation disturbance reduction” as the core. Taking a typical deep coal mine pump room chamber group as the engineering background, evaluation indicators such as the characterization deformation control rate and the control rate of the unloading zone range of the surrounding rock were established. Numerical experiments were conducted to study the influence mechanism of the pre-tightening force, surrounding rock reinforcement coefficient, and excavation sequence on the stability of the chamber groups. A high pre-tightening force was applied to reduce the unloading range of the surrounding rock, and the parameters of the surrounding rock were strengthened to improve its self-carrying capacity. The excavation compensation control mechanism of optimizing the excavation sequence to reduce stress disturbance was verified through the large-scale geomechanical model test. Furthermore, based on the research results, a compensation control design method for deep chamber group excavations was proposed and successfully applied in a deep mine chamber group. The maximum deformation of the surrounding rock was 115 mm, verifying the effectiveness of the compensation control design method for deep chamber group excavations.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106746"},"PeriodicalIF":6.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943478","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":"Geological identification using shield tunneling parameters based on four unsupervised clustering methods","authors":"Wei-bin Chen ,&nbsp;Chengyu Hong ,&nbsp;Yan Guo ,&nbsp;Haijun Wang ,&nbsp;Xiangsheng Chen ,&nbsp;Xiaojie Xue ,&nbsp;Shuhua Huang","doi":"10.1016/j.tust.2025.106732","DOIUrl":"10.1016/j.tust.2025.106732","url":null,"abstract":"<div><div>This study develops a comprehensive framework for identifying geological characteristics (GC) during shield tunneling. Four unsupervised clustering methods are employed: K − means++, Fuzzy C − means (FCM), Gaussian Mixture Model (GMM), and Hierarchical Clustering (HIC). These clustering methods are applied to both the original and dimensionally reduced datasets, which are obtained through principal component analysis (PCA). The performance of each clustering method is emphasized by capturing the inherent variability of GC. K − means++ and FCM exhibit high recognition rates (89.54 % and 90.37 % respectively) and excellent stability. The mean Rand index values for both the original and PCA − processed data are close to 1. PCA significantly enhances the performance of GMM. The identification rate of GMM increases from 67.28 % to 87.68 %, and its mean Rand index improves towards 1. Conversely, HIC has low recognition rates (18.63 % for the original data and 20.60 % after PCA) and low mean Rand index values (0.93 for the original data and 0.91 after PCA), indicating poor stability. The proposed framework, integrating data preprocessing, comprehensive index calculation, and the application of clustering algorithms, provides a robust and effective approach to improve the identification and understanding of GC during the tunneling process. This, in turn, can enhance decision − making processes in similar engineering projects.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106732"},"PeriodicalIF":6.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943482","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 identification method for adverse geological conditions in TBM tunnels based on stacking ensemble algorithm and Bayesian theory","authors":"Zhijun Wu ,&nbsp;Dongbo Huo ,&nbsp;Zhaofei Chu ,&nbsp;Xiqi Liu ,&nbsp;Lei Weng ,&nbsp;Xiangyu Xu ,&nbsp;Zheng Li","doi":"10.1016/j.tust.2025.106741","DOIUrl":"10.1016/j.tust.2025.106741","url":null,"abstract":"<div><div>Accurately identifying adverse geology ahead of the tunnel face in real-time is essential for guaranteeing the safe and efficient excavation of tunnel boring machines (TBMs). This study presents a novel real-time identification method for adverse geological conditions ahead of TBM tunnel face based on the stacking ensemble algorithm and Bayesian theory. Initially, a statistical analysis of 18 collapse sections from the TBM 3 section of the Yinsong Water Diversion Project in Jilin province, China, was conducted, and seven key rock-machine interaction parameters strongly correlated with adverse geological conditions were identified. Subsequently, using the sliding double-window method combined with multi-indicator judgment functions, the potential adverse geological zones were precisely identified, and an extended dataset for adverse geology identification was established. Furthermore, by integrating TBM mechanical parameters, performance parameters, geological information, and the clustering results of the Density-Based Spatial Clustering of Applications with Noise (DBSCAN), an identification model of adverse geological conditions is proposed based on the ensemble learning method. Additionally, to further improve the prediction accuracy, the Bayesian theory is introduced to refine the prediction probabilities of the proposed model. Compared with conventional machine learning classifiers, the proposed model achieves significant improvements across all evaluation metrics. The model trained on the expanded adverse geological dataset shows enhanced overall capabilities, with prediction accuracy increasing by 35.3% and Matthews correlation coefficient (<em>MCC</em>) improving by 19.3%. The results show that the proposed method can accurately identify the adverse geological conditions ahead and provide a conducive reference for safe excavation under complex geological conditions.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106741"},"PeriodicalIF":6.7,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943477","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":"Urban underground space value assessment and regeneration strategies in symbiosis with the urban block: A case study of large residential areas in Beijing","authors":"Hongbin Yu ,&nbsp;Zhilong Chen ,&nbsp;Wanjie Hu ,&nbsp;Jian Zhang ,&nbsp;Chongyuan Xu ,&nbsp;Bin Hu","doi":"10.1016/j.tust.2025.106728","DOIUrl":"10.1016/j.tust.2025.106728","url":null,"abstract":"<div><div>Urban Underground Space (UUS) is recognized as a critical contributor to urban safety, resilience, and sustainable development. As urban development transitions into the phase of stock renewal, issues such as the functional misalignment between aboveground and underground spaces, mismatched supply and demand, low utilization efficiency, and poor spatial quality have become increasingly prominent, particularly in urban block renewal projects. This study develops an Urban Underground Space Reuse Value Evaluation model (UUS-RVE) based on the coupling coordination degree of UUS at the street level and the regeneration potential of UUS at the community level. The objective is to identify value tiers for UUS regeneration and reuse, thereby providing scientific decision-making support for the precise and efficient utilization of underground spaces. Using Fangzhuang Subdistrict—the large residential area in Beijing—as a case study, the findings reveal a significant correlation between the reuse value level of UUS and its “distance to metro stations.” Additionally, factors such as “proximity to metro station entrances, spatial ownership, functional diversity of the underground space, 15-minute living circle accessibility, and average housing prices” exhibit strong associations with the reuse value of UUS. The reutilization potential of UUS is jointly influenced by the coupling and coordination degree of aboveground and underground functions (<em>D</em>) and the regeneration potential of underground space (<em>P</em>). Simultaneously, by integrating the “value assessment levels” and “community residents’ needs,” this study proposes strategies for the regeneration and reutilization of UUS from four perspectives: functional layout, functional diversity, management units, and multi-stakeholder implementation frameworks. These strategies aim to provide planning and decision-making support for advancing neighborhood renewal and urban diagnostic evaluations.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106728"},"PeriodicalIF":6.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943475","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":"Immersive virtual reality experiments for emergency evacuation response in deep underground space","authors":"Chong Wang ,&nbsp;Chao Li ,&nbsp;Tiejun Zhou ,&nbsp;Dachuan Wang ,&nbsp;Xiaoxiao An ,&nbsp;Jiayue Lv ,&nbsp;Jie Wang","doi":"10.1016/j.tust.2025.106729","DOIUrl":"10.1016/j.tust.2025.106729","url":null,"abstract":"<div><div>Safe evacuation of crowds from deep underground spaces is challenging owing to large building sizes, enclosed indoor spaces, and long upward-evacuation distances. A virtual-reality (VR) scenario was created to study human behavior during fire emergencies in deep underground space, and a series of immersive VR experiments for evacuation was conducted. The experiment investigated evacuee pre-movement time (also called pre-evacuation time or response delay) and its distribution characteristics in deep underground space, in addition to their exit-selection ratio under five factors: left–right habituation, crowd effect, visibility, spatial familiarity, and luminance. A post-experiment questionnaire also examined participant impressions of aspects such as the realism and emotion of the VR experience. The results show that pre-movement time was shorter in deep underground space than in aboveground buildings and shallow underground space. Individual pre-movement time was significantly influenced both by their real experience with fire emergencies and whether the student participants majored in architecture. Spatial familiarity, crowd effect, and visibility had a more significant impact on human decision-making overall. Left-right habituation and luminance are less influential; crowd effect reinforces under-risk behavior and a sense of grouping, when crowd effect and visibility reduction work together. The study conclusions are likely to influence future VR-evacuation experiments and fire-safety design. The empirical data can also be input into computer simulations that model building evacuations. Quantifying experimental data on pedestrian behavior is essential for developing performance-based evacuation safety designs in deep underground spaces.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106729"},"PeriodicalIF":6.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943476","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":"Identification of rebar-cutting status based on shield machine vibration during excavation through diaphragm walls","authors":"Jiacheng Sun ,&nbsp;Shaoming Liao ,&nbsp;Mengbo Liu ,&nbsp;Junzuo He ,&nbsp;Yingbin Liu ,&nbsp;Ruize Sun ,&nbsp;Zhansheng Wang","doi":"10.1016/j.tust.2025.106748","DOIUrl":"10.1016/j.tust.2025.106748","url":null,"abstract":"<div><div>This paper proposes a methodology for identifying the real-time cutting status of a shield machine based on its vibration during excavation through an existing underground reinforced concrete metro station. Vibration signals were acquired using accelerometers installed on the front of the man lock. Firstly, a preliminary assessment of the cutting status related to wall-cutting was conducted based on shield driving parameters and time-domain features of the vibration signals. Moreover, the Short-Time Fourier Transform was employed to examine the time–frequency features of the vibration signals across various cutting status. The analysis reveals that low-frequency components were enhanced during the early stage of the wall-cutting process, while broadband responses were enhanced during the later stage. Two indices, designated as the Cutting Status Detection Variable (<em>CSDV</em>) and the <em>CSDV</em> impact, were then developed to capture the characteristic vibration responses. Subsequently, the cutting status related to rebar-cutting was identified based on the occurrence frequency of <em>CSDV</em> impacts throughout the wall-cutting process. The proposed framework was applied to the Suzhou Rail Transit Line 6 project and validated by examining the periodic characteristics of the vibration signals. The identification results indicate that the wall-cutting process was safe and controllable. The reinforced ground behind the wall provided sufficient rear support for the shield machine to cut through the diaphragm walls and the rebars effectively.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106748"},"PeriodicalIF":6.7,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943473","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":"Improving underground pipeline resilience: Prediction and interpretability analysis of urban water distribution network pipe failures during cold waves using machine learning","authors":"Qunfang Hu ,&nbsp;Delu Che ,&nbsp;Qiang Zhang ,&nbsp;Jiahua Zhou ,&nbsp;Fei Wang ,&nbsp;Zongyuan Zhang ,&nbsp;Zhaoyang Song","doi":"10.1016/j.tust.2025.106717","DOIUrl":"10.1016/j.tust.2025.106717","url":null,"abstract":"<div><div>The increasing frequency and intensity of cold waves, driven by global climate change, pose significant challenges to the resilience of underground water distribution networks (WDNs). This study proposes an interpretable machine learning framework to predict water pipe failures during cold waves, leveraging historical pipe failure records and meteorological data from an eastern Chinese city. A comprehensive feature set integrating pipe attributes and meteorological conditions is constructed to develop various machine learning models, including logistic regression, support vector machine, random forest, adaptive boosting, extreme gradient boosting, and categorical boosting. The Shapley Additive exPlanations and Partial Dependence Plots are utilized to explain the machine learning models, revealing the contributions of various factors to water pipe failures. The results demonstrate the effectiveness of machine learning in predicting cold wave-induced pipe failures. The vulnerability of the WDNs to cold waves is fundamentally related to the inherent condition of the pipes, with rapid and sharp temperature drops acting as critical triggers. Steel pipes are identified as the most susceptible to cold wave, followed by cast iron and ductile iron pipes. This research offers valuable insights and tools for water utilities to improve the resilience of WDNs under extreme cold wave conditions, contributing to more reliable urban infrastructure management amidst climate change.</div></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"163 ","pages":"Article 106717"},"PeriodicalIF":6.7,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943472","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}