Journal of Pipeline Science and Engineering最新文献

{"title":"Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method","authors":"Yifei Wang ,&nbsp;Qihui Hu ,&nbsp;Xuefeng Zhao ,&nbsp;Buze Yin ,&nbsp;Lan Meng ,&nbsp;Xin Ouyang ,&nbsp;Siqi Cong ,&nbsp;Chaofei Nie ,&nbsp;Yaqi Guo ,&nbsp;Yuxing Li","doi":"10.1016/j.jpse.2024.100248","DOIUrl":"10.1016/j.jpse.2024.100248","url":null,"abstract":"<div><div>The study of the diffusion characteristics of CO₂ leakage in pipelines and the determination of the hazardous distance resulting from such leakage under various working conditions are crucial for identifying the high-consequence zone of industrial CO₂ pipelines and analyzing the consequences of accidents. Currently, there is yet to be a unified conclusion on the delineation and calculation method of hazard distance. This paper has formulated hazard distance calculation and forecasting methods by combining test verification and model calculation. First, a full-scale pipe burst leakage experiment was carried out based on a self-designed and built CO₂ pipe leakage device, the CO₂ concentration data was measured, and the CO₂ diffusion characteristics were analyzed. Then, the experimental measurement values were compared with the calculation results of the CO₂ concentration calculation model to verify the reliability of the model. Furthermore, a hazard distance calculation model was introduced, which utilized bilinear interpolation and took into account time-weighted allowable concentrations. This model accurately determined the hazard distances caused by leaks at 11 specific locations along the pipeline. It was found that the location of the leak point can lead to significant differences in the classification of the hazard distance, so the development of a hazard distance prediction model is necessary. Eventually, a hazard distance prediction model was established based on the PSO-BP neural network. Six variables were selected as input parameters: CO₂ temperature, pressure, density, position, and distance from the distance valve chamber. The hazard distance caused by a leak at 125 locations along the pipeline was predicted. The results showed that an increase in the transport distance or a location away from the valve chamber would lead to an increase in the hazard distance. At the same time, a CO₂ leak in the supercritical state will not generate a hazard distance.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 2","pages":"Article 100248"},"PeriodicalIF":4.8,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability analysis of slow crack growth in HDPE pipes: Impact of buried pipeline design and soil characteristics","authors":"Theylor Andres Amaya Villabon,&nbsp;Juan Sebastián Valderrama,&nbsp;Paula Juliana Garzon,&nbsp;Carlos Eduardo Rodríguez,&nbsp;Guillermo Eduardo Ávila Álvarez","doi":"10.1016/j.jpse.2024.100247","DOIUrl":"10.1016/j.jpse.2024.100247","url":null,"abstract":"<div><div>This study delves into one of the most common fracture mechanisms in polyethylene pipes and the primary cause of their long-term failure, the slow crack growth (SCG) phenomenon. This failure mode in high-density polyethylene (HDPE) pipelines can potentially lead to brittle-like fractures without any localized yielding or plastic deformation. Leveraging the ISO 9080:2012 standard for estimating pipe service life under SCG, we employ a reliability-based assessment incorporating Monte Carlo simulations to explore the impact of geometric burial design and soil characteristics on pipeline integrity.</div><div>Variables including pipe diameter, depth of cover, bedding angle, trench width, soil type, and compaction level were analyzed to determine their impact on the progression toward medium and high SCG-mediated probability of failure levels. In addition to a thorough examination of these variables, a machine learning analysis was employed as a supplementary tool to contrast and quantify their significance in influencing the time of entry into medium and high probability of failure states. This layered approach, combining detailed variable analysis with machine learning insights, underscores the complex interplay of design and environmental factors in mitigating SCG probability of failure.</div><div>Our research underscores that bedding angles under 90° substantially increase the likelihood of SCG-induced failures in HDPE pipelines. Although additional factors studied also affect failure probabilities, their impact is less critical in comparison to that of the bedding angle. By optimizing these lesser factors, minimal failure probabilities can be sustained across the standard 50-year service life of HDPE pipelines, thus bolstering their durability and reliability across diverse operating environments.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 2","pages":"Article 100247"},"PeriodicalIF":4.8,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crack assessment in spiral-welded pipelines repaired by composite patch: A SMART and failure assessment diagram approach","authors":"Ardeshir Savari","doi":"10.1016/j.jpse.2024.100222","DOIUrl":"10.1016/j.jpse.2024.100222","url":null,"abstract":"<div><div>This study presents a methodology for assessing cracks in spiral-welded pipelines (SWPs) repaired with composite sleeves, utilizing the Separating Morphing and Adaptive Remeshing Technique (SMART) for crack growth modeling and a failure assessment diagram (FAD) approach. Stress analysis identifies critical regions for crack initiation, and Ansys™ Mechanical software is used for automated remeshing to study crack growth. Various scenarios are considered, including stationary cracks and those that grow under static or cyclic loading. A parametric analysis examines the impact of factors such as crack dimensions, internal pressure, sleeve mechanical properties, and repair thickness on both non-repaired and repaired models. Safety factors are derived using the FAD curve, accounting for both conservative and non-conservative fracture criteria. The study finds that composite repairs are more effective for deep, long cracks than for shallow, short ones. Although the evaluation of stress intensity factors (SIFs) and stresses might suggest safety, FAD assessments indicate potential failure risks, necessitating urgent repairs. The extracted safety factors demonstrate the effectiveness of composite patches in enhancing the reliability of SWPs, regardless of employing a conservative or non-conservative approach. This methodology provides valuable insights into the assessment and repair of SWPs with composite sleeves.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 1","pages":"Article 100222"},"PeriodicalIF":4.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental and numerical investigation on hyperelastic sealing disc contact behavior in pipeline, a comparison between fluid-driven and pull-through approaches","authors":"Salar Jouzani,&nbsp;Mohammad Hossein Soorgee","doi":"10.1016/j.jpse.2024.100232","DOIUrl":"10.1016/j.jpse.2024.100232","url":null,"abstract":"<div><div>Pipelines are widely recognized as the safest and most efficient means of fluid transportation. Pipeline pigging, a secure and reliabl<u>e</u> technique, is employed for both cleaning and sealing pipelines to optimize efficiency. Since pigging operation requires differential pressure (<span><math><mrow><mrow><mstyle><mi>Δ</mi></mstyle></mrow><mi>p</mi></mrow></math></span>) to facilitate pig movement, this pressure must correspond to the pipeline’s operational conditions. Consequently, studying the required <span><math><mrow><mrow><mstyle><mi>Δ</mi></mstyle></mrow><mi>p</mi></mrow></math></span> for sealing discs, which serve as primary sealing elements of pigs, is crucial. The primary focus of this study is to examine the difference between pulling the pig using a cable and propelling it with fluid. Furthermore, the main novelty of this research is to experimentally investigate a single sealing disc and conduct fluid-driven tests on it. To study more precisely, three sealing discs with various thicknesses and the same hardness have been launched into a 6-inch spool test, containing five pipes with different wall thicknesses, resulting in multiple oversize ratios (%Osz). In the experimental study, both fluid-driven and pull-through tests were conducted. The range of discrepancy between two methods varies from 15% to 26% for different oversize ratios which is considerable. Additionally, A 2-D axisymmetric nonlinear numerical simulation was conducted in a finite element software ABAQUS in order to study the behavior of sealing discs. Using a pressure-dependent friction coefficient with the proper hyperelastic model was key to achieving simulations that have good agreements with experimental results, with discrepancy of less than 10% in all extracted pressures.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 2","pages":"Article 100232"},"PeriodicalIF":4.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced speed control of pipeline pigs with adjustable bypass using quantitative feedback theory and cascade PID algorithm","authors":"Xiaoxiao Zhu ,&nbsp;Haokun Wang ,&nbsp;Yichen Zhang ,&nbsp;Shimin Zhang","doi":"10.1016/j.jpse.2024.100231","DOIUrl":"10.1016/j.jpse.2024.100231","url":null,"abstract":"<div><div>During pipeline pigging operations, precise control of the pig’s running speed is crucial. However, external speed disturbances often occur during these operations. In response to this challenge, adjustments are made to the flow rate through the pig body, thereby modifying the pressure difference and achieving a targeted speed range of 1 to 3 m/s. Since a pig with an adjustable bypass port operates in a dynamically changing state, conventional control algorithms face difficulties in providing effective control. Moreover, there is limited research on speed control algorithms for pigs with adjustable bypass ports. To address these challenges, this paper introduces a control system based on quantitative feedback theory (QFT), coupled with cascaded proportional-integral-derivative (PID) tuning, for the precise speed control of a bypass pig. The state equation is derived from the pig’s operational state, and the QFT toolbox is employed to design a pre-filter and controller. This integration of QFT with cascaded PID not only facilitates both speed control and disturbance rejection but also demonstrates significantly improved control stability under variable operational conditions. The model, implemented using the Simulink toolbox, shows that this approach can quickly stabilize the pig’s speed, effectively managing continuous variations and enhancing the efficiency and safety of pipeline pigging.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 2","pages":"Article 100231"},"PeriodicalIF":4.8,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of methane emissions from typical natural gas stations using on-site measurement technology","authors":"Wenlong Jia ,&nbsp;Pingyang Jia ,&nbsp;Li Gu ,&nbsp;Lei Ren ,&nbsp;Yang Zhang ,&nbsp;Honghuan Chen ,&nbsp;Xia Wu ,&nbsp;Wei Feng ,&nbsp;Jiujiang Cai","doi":"10.1016/j.jpse.2024.100229","DOIUrl":"10.1016/j.jpse.2024.100229","url":null,"abstract":"<div><div>Natural gas transmission systems are the main source of methane emissions in the oil and gas industry. Methane, as the second most potent greenhouse gas, makes a strong contribution to climate change. The hydrogen flame ionization detector and Hi-Flow sampler (a large flow methane detector) technologies were used to measure fugitive methane emissions in five distinct categories of stations in natural gas transmission pipelines in China. The methane emission rate of different components was quantified, enabling a comparison of methane emission characteristics across different stations. The resulting data was used to deduce a correlation equation between the methane concentration and the emission rate of various components. The leakage probability of components in the surveyed stations ranged from 2.54% to 7.77%. Notably, the leakage probability of liquefied natural gas (LNG) terminals was considerably higher than that of the other stations. A one-way analysis of variance revealed significant differences in methane emission rates between components with different processes. The bootstrap method was used to calculate the mean methane emission rates and 95% confidence intervals for each component. The mean methane emission rates and 95% confidence intervals for valves, flanges, connectors and open-ended lines were 26.43 (15.86, 38.56), 35.84 (23.36, 50.19), 4.90 (3.43, 6.73), and 30.76 (18.62, 44.19) kg/a, respectively. In conclusion, the total fugitive methane emissions detected at the LNG terminal and underground gas storage were 5,202.1 and 1,891 kg/a, respectively. There were no significant differences in the emissions of the compressor, distribution, and meter stations on the natural gas transmission trunk pipe, with values between 1,000 and 1,200 kg/a. The bootstrap method, in conjunction with the Monte Carlo method, was used to estimate the fugitive methane emissions in the compressor area of another natural gas compressor station. The estimated result was 1,853.58 kg/a, while the measured value was 1,418.55 kg/a, therefore exhibiting a slight discrepancy.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 2","pages":"Article 100229"},"PeriodicalIF":4.8,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on the leakage identification for the buried gas pipeline via vibration signals","authors":"Xiugang Chen ,&nbsp;Cuiwei Liu ,&nbsp;Kang Xiao ,&nbsp;Wenjie Liu ,&nbsp;Tao Gu ,&nbsp;Yuxing Li","doi":"10.1016/j.jpse.2024.100230","DOIUrl":"10.1016/j.jpse.2024.100230","url":null,"abstract":"<div><div>It is difficult to detect and locate small leakages, especially for buried pipelines. Therefore, a non-intrusive leakage identification method for buried gas pipelines is proposed in this study. Accelerometers were arranged in the soil at a certain distance from the leakage orifice to capture the acceleration signals caused by leakage. A 7-layer wavelet transform was applied to extract the leakage characteristic frequency band. Meanwhile, the attenuation characteristics of vibration signals were analyzed and the signal amplitude attenuation patterns in the axial, radial, and circumferential directions were analyzed. The results show that the leakage recognition rate is nearly 100% by selecting a peak signal-to-noise ratio (P-SNR) threshold of 7.26. Thus, the non-intrusive method based on accelerometers can be successfully applied for the leakage monitoring of buried gas pipelines.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 2","pages":"Article 100230"},"PeriodicalIF":4.8,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel approach integrating the method of characteristics with large time-step scheme (MOC-LTS) for efficient transient flow simulation in liquid pipelines","authors":"Shengyuan Wei,&nbsp;Shangfei Song,&nbsp;Bohui Shi,&nbsp;Jing Gong","doi":"10.1016/j.jpse.2024.100227","DOIUrl":"10.1016/j.jpse.2024.100227","url":null,"abstract":"<div><div>Water hammer incidents pose a significant risk to the safety and stability of pipeline operations. Therefore, rapid and precise transient flow simulation is essential for efficiently developing scientific water hammer control strategies. Nevertheless, the prevailing transient flow simulation methods for liquid pipelines predominantly employ explicit schemes to solve transient flow control equations, necessitating adherence to the stability criterion of Courant-Friedrichs-Lewy (CFL) ≤ 1. This results in limited time step size, which in turn constrains computational efficiency, particularly when simulating hydraulic behavior in large-scale pipeline networks. In this paper, a novel approach integrating the method of characteristics (MOC) with a large time-step scheme (LTS) is proposed to enable rapid and accurate simulation of transient flow in liquid pipelines. The proposed approach discretizes the computational domain into contiguous control volumes, ategorizing them as either boundary or internal control volumes depending on whether they are affected by boundary conditions within a large time step. For internal control volumes, an LTS scheme based on the first-order Godunov format is employed to improve computational efficiency. For boundary control volumes, MOC is applied iteratively to accurately capture boundary dynamics until the simulated time matches that of the internal control volumes. Quantitative analysis is conducted to verify the performance of the proposed approach. The results confirm that the proposed approach outperforms the MOC in computational efficiency while maintaining minimal accuracy loss.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 1","pages":"Article 100227"},"PeriodicalIF":4.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanical properties of the liner for strengthening steel pipe under the action of normal fault","authors":"Kejie Zhai ,&nbsp;Deqiang Hu ,&nbsp;Kaidong Wang ,&nbsp;Hongyuan Fang ,&nbsp;Niannian Wang ,&nbsp;Bin Li ,&nbsp;Xueming Du ,&nbsp;Yuquan Hu ,&nbsp;Xiangqian Fan","doi":"10.1016/j.jpse.2024.100225","DOIUrl":"10.1016/j.jpse.2024.100225","url":null,"abstract":"<div><div>Using liner pipe to rehabilitate pressure pipe can effectively improve the mechanical performance of the pipe. To explore the mechanical properties of the liner for repairing pressure pipes under the action of a normal fault, a refined three-dimensional (3D) finite element (FE) model is established and assessed by experiments and FE results. Then, the stress distribution of the liner is analyzed, and the effects of fault slip distance, slip angle, pipe diameter, host thickness, internal pressure, liner elastic modulus, and friction factor on the liner stress and vertical displacement are studied. Finally, the bearing capacity of the pipeline against normal faults is analyzed. The study shows that the distribution morphology of the crown and shoulder is similar and opposite to the distribution morphology of the invert and haunch. The crown and invert stress of the pipe is the highest, while the stress on the springline is the lowest. When the host pipe thicknesses are 3.0 mm, 3.5 mm, 4.0 mm, and 5.0 mm, the slip distance reaches 309 mm, 342 mm, 370 mm, and 449 mm, respectively, and the liner will damage at the crown.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 1","pages":"Article 100225"},"PeriodicalIF":4.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks","authors":"Hussein A. M. Hussein ,&nbsp;Sharafiz B. Abdul Rahim ,&nbsp;Faizal B. Mustapha ,&nbsp;Prajindra S. Krishnan ,&nbsp;Nawal Aswan B. Abdul Jalil","doi":"10.1016/j.jpse.2024.100223","DOIUrl":"10.1016/j.jpse.2024.100223","url":null,"abstract":"<div><div>This research presents a data-driven structural health monitoring (SHM) approach for pipeline systems that leverages frequency response function (FRF) signals and artificial neural network (ANN) algorithms to accurately identify and classify diverse pipeline fault conditions. The study focuses on three specific faults: bolt looseness, scale deposits, and crack occurrence at pipeline supports, which were replicated on a pipeline segment located at the Sound and Vibration Research Group (SVRG) at University Putra Malaysia (UPM). The FRF signals were captured using accelerometers to monitor the structural health of the pipeline. The data acquisition stage involved collecting FRF signals from the accelerometers to capture vibrations and responses related to the identified faults using a Siemens LMS SCADAS data acquisition unit. The data underwent preprocessing, including the application of principal component analysis (PCA) for feature selection. The subsequent data processing stage involved the application of an ANN algorithm for pattern recognition to analyze and classify the acquired data, identifying patterns associated with the replicated fault conditions. The proposed methodology demonstrated exceptional performance, with the ANN model achieving consistently high overall accuracy (above 99.7%) and remarkably low mean squared error (in the range of 0.0088 × 10⁻³ to 0.3062 × 10⁻³) across multiple iterations and sensor datasets. The detailed class-specific metrics, including accuracy, precision, sensitivity, and F1-score, further substantiated the model’s effectiveness in identifying the individual fault types with near-perfect or perfect results for the majority of the fault scenarios. The location-invariant performance of the ANN model across different sensor placements demonstrates the robustness of the proposed data-driven SHM methodology. This research highlights the transformative potential of integrating state-of-the-art data-driven techniques to revolutionize the monitoring and assessment of critical pipeline infrastructure, ultimately enhancing the safety, reliability, and longevity of these vital systems.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 1","pages":"Article 100223"},"PeriodicalIF":4.8,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}