Ain Shams Engineering Journal最新文献

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Corrigendum to “The utilization of novel deep eutectic solvents in cement production and their impact on the physical and the mechanical properties of Portland cement” [Ain Shams Eng. J. 17(1) (2026) 103861] “新型深共晶溶剂在水泥生产中的应用及其对硅酸盐水泥物理和机械性能的影响”的勘误表[Ain Shams Eng]。J. 17(1) (2026) 103861]
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-02-05 DOI: 10.1016/j.asej.2026.104017
Ali Tugrul Albayrak
{"title":"Corrigendum to “The utilization of novel deep eutectic solvents in cement production and their impact on the physical and the mechanical properties of Portland cement” [Ain Shams Eng. J. 17(1) (2026) 103861]","authors":"Ali Tugrul Albayrak","doi":"10.1016/j.asej.2026.104017","DOIUrl":"10.1016/j.asej.2026.104017","url":null,"abstract":"","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 104017"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vulnerability analysis of urban old residential areas for stock renewal: an unascertained measure theory approach 城市旧住区存量更新脆弱性分析:一种未确知测度理论方法
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-21 DOI: 10.1016/j.asej.2026.104003
Ping Guo, Jiwei Zhu
{"title":"Vulnerability analysis of urban old residential areas for stock renewal: an unascertained measure theory approach","authors":"Ping Guo,&nbsp;Jiwei Zhu","doi":"10.1016/j.asej.2026.104003","DOIUrl":"10.1016/j.asej.2026.104003","url":null,"abstract":"<div><div>The renovation of urban old residential areas (UORA) is a crucial measure in urban stock renewal for improving the quality of residents’ lives. Scientifically understanding the multidimensional vulnerability of UORA is a prerequisite for implementing stock renewal. However, existing vulnerability assessment methods for UORA suffer from limitations such as subjective weight assignment, and insufficient handling of uncertain information, leading to inadequate support for precise renewal decisions. To address these gaps, this study proposes a novel multidimensional vulnerability evaluation framework. A vulnerability evaluation index system is constructed from physical space, infrastructure, functional adaptation, ecological environment, and social governance. A comprehensive evaluation model is established by integrating the combined entropy weight method and the unascertained measure theory. This methodological innovation enhances the objectivity of weight determination while effectively addressing unstructured data and uncertain factors in vulnerability assessment. The empirical results show that the vulnerability evaluation results of the six projects are clearly polarised. High-risk clusters need to prioritise the initiation of engineering interventions and social governance reconstruction; for medium-risk projects, dynamic monitoring and adaptive management should be strengthened. This study provides a priority standard and scientific support for renewal decisions and promotes the transformation of vulnerability assessment from a single diagnosis to a systematic governance paradigm.​.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 104003"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Predicting water quality using quantum machine learning: The case of the umgeni catchment (U20A) study region 使用量子机器学习预测水质:以umgeni流域(U20A)研究区域为例
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-13 DOI: 10.1016/j.asej.2025.103925
Jamal Al-Karaki , Muhammad Al-Zafar Khan , Amjad Gawanmeh , Marwan Omar
{"title":"Predicting water quality using quantum machine learning: The case of the umgeni catchment (U20A) study region","authors":"Jamal Al-Karaki ,&nbsp;Muhammad Al-Zafar Khan ,&nbsp;Amjad Gawanmeh ,&nbsp;Marwan Omar","doi":"10.1016/j.asej.2025.103925","DOIUrl":"10.1016/j.asej.2025.103925","url":null,"abstract":"<div><div>The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered persistent convergence issues, including the “dead neuron” problem, despite various optimization strategies. The findings provide a pragmatic framework for environmental monitoring applications, suggesting that QSVC offers a more viable near-term quantum approach for water quality classification tasks with imbalanced, real-world data.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103925"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatio-temporal evolution and influencing factors analysis of water conservation – water regulation – socio-economic development coupling coordination in the Yellow River mainstem 黄河干流涵养-调水-社会经济发展耦合协调时空演变及影响因素分析
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI: 10.1016/j.asej.2026.103996
Huaibin Wei , Min Li , Yongxiao Cao , Jing Liu , Shan-e-hyder Soomro , Lei Liu , Qinghu Zhao
{"title":"Spatio-temporal evolution and influencing factors analysis of water conservation – water regulation – socio-economic development coupling coordination in the Yellow River mainstem","authors":"Huaibin Wei ,&nbsp;Min Li ,&nbsp;Yongxiao Cao ,&nbsp;Jing Liu ,&nbsp;Shan-e-hyder Soomro ,&nbsp;Lei Liu ,&nbsp;Qinghu Zhao","doi":"10.1016/j.asej.2026.103996","DOIUrl":"10.1016/j.asej.2026.103996","url":null,"abstract":"<div><div>Starting from the needs of refined basin management, this study constructed a three-dimensional coupling coordination analysis framework integrating water conservation (WC), water regulation (WR), and socio-economic development (SED). This approach addressed existing research limitations in distinguishing between the “efficiency enhancement” and “constraint management” dimensions. Using data from 44 prefecture-level administrative regions along the Yellow River mainstem from 2014 to 2023, this study systematically revealed the spatiotemporal evolution of coupling coordination within the WC-WR-SED system and its influencing factors through the integrated application of the coupling coordination degree model, spatio-temporal geographical weighted regression (GTWR), and the Geo-detector method. The results indicated that the coupling coordination degree exhibited a stable gradient pattern, with “downstream &gt; midstream &gt; upstream”, and the overall differences evolve in an “inverted U-shape” pattern, with intra-provincial differences being the primary contributor. The influence of factors such as the proportion of unconventional water utilization to total water use and Engel’s coefficient showed significant spatial heterogeneity, accompanied by nonlinear enhancement effects among these factors. This study deepens the understanding of synergistic patterns in water-human systems within water-scarce basins, providing a scientific basis for differentiated collaborative governance in the Yellow River Basin.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103996"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Field study of scour around Bridge piers in the transitional section of the Qiantang River 钱塘江过渡段桥墩周围冲刷的现场研究
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-07 DOI: 10.1016/j.asej.2025.103924
Zongyu Li , Rui Li , Bin Chen
{"title":"Field study of scour around Bridge piers in the transitional section of the Qiantang River","authors":"Zongyu Li ,&nbsp;Rui Li ,&nbsp;Bin Chen","doi":"10.1016/j.asej.2025.103924","DOIUrl":"10.1016/j.asej.2025.103924","url":null,"abstract":"<div><div>With the rapid development of bridge construction, the safety of bridges under complex hydrological conditions has become an increasingly critical issue. This study investigates the local scour characteristics of bridge piers in the transition section of the Qiantang River, utilizing multi-beam echo sounding (MBES, vertical accuracy:±0.02 m) and high-resolution underwater 3D imaging sonar for data acquisition. The results reveal that the maximum local scour depth reaches 9.3 m, with the scour hole exhibiting an elliptical shape. When pier dimensions are similar, the scour hole width shows a strong correlation with the maximum scour depth, approximately four times the width of the pier cap. In contrast, the scour hole extension along the flow direction exhibits no significant correlation with scour depth but correlates with the pier cap length, approximately twice its dimension. Based on the measured data, the safety of bridge piers in the transition section was evaluated. It was found that the piers PM5-PM6 and PM8-PM10 of Bridge II, as well as the main piers of Bridge III, experienced significant scour depths, posing potential structural risks. The study recommends implementing protective measures for severely scoured piers and establishing long-term monitoring to ensure structural stability. The findings provide valuable insights for scour assessment and protection design of bridges under complex hydrological conditions.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103924"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural attention guided stochastic fractal search for energy efficient localization in mobile wireless sensor networks 移动无线传感器网络中神经注意引导的随机分形搜索节能定位
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.1016/j.asej.2025.103952
R. Juliana , Vignesh Janarthanan , M. Umamaheswari , S. Sasikanth
{"title":"Neural attention guided stochastic fractal search for energy efficient localization in mobile wireless sensor networks","authors":"R. Juliana ,&nbsp;Vignesh Janarthanan ,&nbsp;M. Umamaheswari ,&nbsp;S. Sasikanth","doi":"10.1016/j.asej.2025.103952","DOIUrl":"10.1016/j.asej.2025.103952","url":null,"abstract":"<div><div>Wireless Sensor Networks (WSNs) require novel approaches to optimize localization accuracy and minimize energy usage due to their decentralized structure and the resource constraints of mobile sensor nodes. This research proposes LEE-NAM-SFS, a neural attention guided stochastic fractal search framework that equips sensor nodes with cognitive capabilities to adapt their movement patterns, sensing behavior, and communication strategies. The neuronal attention model selectively focuses on high-value measurements, while stochastic fractal search explores the high-dimensional search space of node trajectories and routing choices to jointly optimize localization and energy efficiency. Extensive simulations on a 100-node mobile WSN scenario show that, compared to FLA-RTWOA, DASUL, RDEANTN, MANAL, and QLAMSR, LEE-NAM-SFS improves localization accuracy by approximately 2–5 %, enhances energy efficiency by 5–10 %, increases data delivery rate by 2–5 %, expands effective coverage area by 5–10 %, and prolongs network lifetime by 5–10 %. These gains are achieved without compromising connectivity or data reliability.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103952"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Online diagnosis for bogie bearing unbalance impact faults of railway trains with wavelet phase space reconstruction mechanism 基于小波相空间重构机制的铁路列车转向架轴承不平衡冲击故障在线诊断
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1016/j.asej.2025.103970
Zheng Liu , Kun Xu , Xiaodong Miao , Qinjing He , Yubin Pan , Hu Yu
{"title":"Online diagnosis for bogie bearing unbalance impact faults of railway trains with wavelet phase space reconstruction mechanism","authors":"Zheng Liu ,&nbsp;Kun Xu ,&nbsp;Xiaodong Miao ,&nbsp;Qinjing He ,&nbsp;Yubin Pan ,&nbsp;Hu Yu","doi":"10.1016/j.asej.2025.103970","DOIUrl":"10.1016/j.asej.2025.103970","url":null,"abstract":"<div><div>The reliability of bearings directly affects the operational status of mechanical equipment, and there is a serious imbalance in its shock vibration characteristics. This paper constructed wavelet phase space in the offline diagnosis stage to locate the part of the fault signal that was concentrated in energy to reconstruct and generate pseudo-fault samples, and guides the category balancing weights in the two-phase feature learning network to reduce the loss contribution of the easy-to-classify samples, while the adaptive threshold is adjusted to balance the local noise with the global statistics, so that the model focuses on the difficult samples more. Finally, small batch incremental learning was applied to online diagnosis to improve the efficiency of industrial diagnosis. Thirty-six sets of experiments under multiple unbalance cases show that the reconstructed signals are of high quality, and the G-mean value can reach 95.04%, which provides a new idea for the online diagnosis.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103970"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Iterative methods for nonlinear equations in a coupled system: Using modified homotopy perturbation 耦合系统非线性方程的迭代方法:使用修正同伦摄动
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-02-03 DOI: 10.1016/j.asej.2025.103965
Muhammad Saqib , Shahida Bashir , Taha Radwan , Rabab Alharbi , Hamiden Abd El-Wahed Kahilfa , Rizwan Gul
{"title":"Iterative methods for nonlinear equations in a coupled system: Using modified homotopy perturbation","authors":"Muhammad Saqib ,&nbsp;Shahida Bashir ,&nbsp;Taha Radwan ,&nbsp;Rabab Alharbi ,&nbsp;Hamiden Abd El-Wahed Kahilfa ,&nbsp;Rizwan Gul","doi":"10.1016/j.asej.2025.103965","DOIUrl":"10.1016/j.asej.2025.103965","url":null,"abstract":"<div><div>Nonlinear equations arise in various branches of applied sciences where the real-world problems cannot be formulated accurately in linear forms. It is a fascinating and thrilling task to develop numerical methods for estimating the roots of nonlinear equations. In this work, new sixth and seventh-order iterative methods for estimating the solutions of nonlinear equations in coupled systems are developed using modified Homotopy perturbation techniques. The convergence of the proposed methods is examined. The recently proposed iterative methods are supported by numerical examples. Computer comparisons with some previous schemes in the literature have demonstrated the effectiveness of these new methods. They also show a lower computational cost and a quicker convergence rate. Researchers, mathematicians, and engineers use polynomiography extensively as a tool to visualize and understand the behavior of complex equations. Our suggested techniques generate polynomiographs of complex polynomials that clearly display the roots.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103965"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Taguchi-optimized DeepLabV3+ for semantic segmentation in autonomous driving applications 田口优化的DeepLabV3+用于自动驾驶应用中的语义分割
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI: 10.1016/j.asej.2026.103985
G Divya Deepak, Pavan Hiremath, Subraya Krishna Bhat
{"title":"Taguchi-optimized DeepLabV3+ for semantic segmentation in autonomous driving applications","authors":"G Divya Deepak,&nbsp;Pavan Hiremath,&nbsp;Subraya Krishna Bhat","doi":"10.1016/j.asej.2026.103985","DOIUrl":"10.1016/j.asej.2026.103985","url":null,"abstract":"<div><div>Semantic segmentation is a critical perception task in autonomous vehicles, enabling pixel-wise classification of road scenes. In this study, we propose a systematic optimization of DeepLabV3+ semantic segmentation model using Taguchi Design of Experiments (DoE) technique to enhance its performance for real-time deployment in autonomous driving. We explore the influence of key hyperparameters. solver type (Adam, RMSProp, SGDM), learning rate (10<sup>−5</sup>, 10<sup>−4</sup>, 10<sup>−3</sup>) batch size (1, 2, 3), and L2 regularization (10<sup>−5</sup>, 10<sup>−4</sup>, 10<sup>−3</sup>), across three backbone networks: ResNet-18, ResNet-50, and MobileNetV2. Experiments were conducted on the Cambridge-driving Labeled Video Database (CamVid), a widely used benchmark for road scene understanding. The DoE approach efficiently reduced the number of training configurations while maximizing segmentation performance. The best-performing model, DeepLabV3+ with a ResNet-50 backbone, achieved a Mean Intersection over Union (IoU) of 76.23%, surpassing recent approaches. The proposed framework offers a practical strategy for deploying semantic segmentation models in autonomous vehicle systems.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103985"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Uncertainty aware predictive maintenance using a hybrid Transformer with Monte Carlo Dropout and conformal prediction 基于蒙特卡罗Dropout和保形预测的混合变压器不确定性预测维护
IF 5.9 2区 工程技术
Ain Shams Engineering Journal Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI: 10.1016/j.asej.2026.103992
Chao-Lung Yang, Tamrat Yifter Meles, Atinkut Atinafu Yilma, Melkamu Mengstnew Teshome
{"title":"Uncertainty aware predictive maintenance using a hybrid Transformer with Monte Carlo Dropout and conformal prediction","authors":"Chao-Lung Yang,&nbsp;Tamrat Yifter Meles,&nbsp;Atinkut Atinafu Yilma,&nbsp;Melkamu Mengstnew Teshome","doi":"10.1016/j.asej.2026.103992","DOIUrl":"10.1016/j.asej.2026.103992","url":null,"abstract":"<div><div>Predictive maintenance (PdM) relies on accurate estimation of the remaining useful life (RUL) to support efficient industrial maintenance. However, most RUL models overlook uncertainty quantification (UQ), which is essential for safety–critical decision-making. This study presents a hybrid uncertainty-aware framework that combines a Transformer backbone with Monte Carlo Dropout (MC Dropout) and Conformal Prediction (CP). The Transformer architecture effectively learns long-range temporal dependencies in sensor data, while MC Dropout approximates epistemic uncertainty arising from model limitations. CP complements this by producing prediction intervals that capture aleatoric variability caused by noise and operating conditions. The framework is validated using NASA’s C-MAPSS FD001 and FD003 datasets. It achieves strong performance on FD001, with MAE 8.11, RMSE 11.71, and a predictive score of 193.6, and on FD003, with MAE 7.21, RMSE 10.50, and R2 0.926. By jointly addressing both uncertainty types, the method yields well-calibrated confidence intervals, enhancing reliability and interpretability in PdM applications.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"17 2","pages":"Article 103992"},"PeriodicalIF":5.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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