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Micromechanics of Thermal Conductive Composites:Review,Developments and Applications

Acta Mechanica Solida Sinica 2024年第2期37卷 215-237页

作者： Guannan Wang Yulin Huang Mengyuan gao Qiang chen Department of civil engineering Zhejiang UniversityHangzhou310058China Center for Balance Architecture Zhejiang UniversityHangzhou310007China school of Mechanical engineering Xi’an Jiaotong UniversityXi’an710049China

Micromechanics investigations of composites with fiber-shaped reinforcement are extensively applied in the engineering design and theoretical analysis of thermal composites in the aerospace engineering and high-tech *** this paper,a critical review of various classical micromechanics approaches is provided based on the classification framework and the development of micromechanics *** numerical micromechanics tools have been developed to overcome limitations through exactly/approximately solving the internal governing equations of *** connections and limitations of those models are also investigated and discussed,based on which three recently developed numerical or semi-analytical models are explained,including finite-element micromechanics,finite-volume direct averaging micromechanics,and locally exact homogenization theory,as well as machine learning *** it is almost inevitable to mention the interfacial effects on thermal behavior of fibrous composites,we review the new mathematical relations that interrupt the original continuity conditions due to the existence of interphase/interface within unit *** speaking,the interphase/interface is demonstrated to play a significant role in influencing the effective coefficients and localized thermal *** present work also briefly reviews the application of micromechanics tools in emerging engineered woven composites,natural fibrous composites,and ablative thermal protection *** is demonstrated that sophisticated micromechanics tools are always demanded for investigating the effective and localized responses of thermal fibrous composites.

关键词： Micromechanics models Thermal fibrous composites Microstructural detail-free models Semi-analytical and numerical methods Interfacial effects Woven composites Natural composites

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Multi-population particle swarm optimization algorithm for automatic design of steel frames

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Frontiers of Structural and civil engineering 2024年第1期18卷 89-103页

作者： Wenchen shan Jiepeng LIU Yao DING Y.Frank chen Junwen ZHOU Institute of Smart City and Intelligent Transportation Southwest Jiaotong UniversityChengdu 610000China school of civil engineering Chongqing UniversityChongqing 400045China Department of civil engineering the Pennsylvania State UniversityMiddletownPA 17057USA

Steel structures are widely used;however,their traditional design method is a trial-and-error procedure which is neither efficient nor cost ***,a multi-population particle swarm optimization(MPPSO)algorithm is developed to optimize the weight of steel frames according to standard design *** are made to improve the algorithm performances including the constraint-based strategy,piecewise mean learning strategy and multi-population cooperative *** proposed method is tested against the representative frame taken from American standards and against other steel frames matching Chinese design *** related parameter influences on optimization results are *** the representative frame,MPPSO can achieve greater efficiency through reduction of the number of analyses by more than 65% and can obtain frame with the weight for at least 2.4%lighter.A similar trend can also be observed in cases subjected to Chinese design *** addition,a migration interval of 1 and the number of populations as 5 are recommended to obtain better MPPSO *** purpose of the study is to propose a method with high efficiency and robustness that is not confined to structural scales and design *** aims to provide a reference for automatic structural optimization design problems even with dimensional *** proposed method can be easily generalized to the optimization problem of other structural systems.

关键词： steel frame multi-population particle swarm optimization automatic structural optimization design

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Toward equitable,transparent,and collaborative human mobility computing for smart cities

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The Innovation 2024年第5期5卷 15-16页

作者： Yong chen Xiqun(Michael)chen Ziyou gao Institute of Intelligent Transportation Systems College of Civil Engineering and ArchitectureZhejiang UniversityHangzhou 310058China school of Systems Science Beijing Jiaotong UniversityBeijing 100044China

Cities constitute vast and intricate systems in which diverse entities(e.g.,people,vehicles,and roads)interact collaboratively and *** and understanding the core elements of people in complex urban mobility systems provides a crucial means for smart city *** the era of global digitization,the exponential surge in geolocation data linked to human travel has profoundly transformed our understanding of human travel *** science enables us to comprehensively capture human mobility characteristics1 at the individual and population levels;these characteristics include regularity,diversity,and *** by data science,human mobility computing research has shaped a closed-loop scientific ecosystem involving data training models,model serving applications,and application feedback data(Figure 1).

关键词： computing smart travel

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IONOSPHERIC EFFECTS ON GPS NAVIGATION IN LOW-LATITUDE AREA

IONOSPHERIC EFFECTS ON GPS NAVIGATION IN LOW-LATITUDE AREA

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第一届交通运输工程国际学术会议

作者： gao shan1, 2.and chen wu2.1school of civil engineering, southwest jiaotong university, chengdu, sichuan, china, 610031 2Dept. of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic university, Hong Kong

Ionospheric effects are the major constraints for GPS navigation. Especially, at low latitude, ionospheric delay varies greatly both in space and time. Even for short baselines, ionospheric effects cannot be cancelled out with double difference algorithm. Strong ionospheric disturbances are also observed in the region. In this paper, ionospheric behavior in Hong Kong is investigated by using a dense reference network. The effects of ionospheric disturbances on GPS receiver, such as loss of lock, gross error and measurement noise are studied.

关键词： GPS navigation ionospheric delay loss of lock cycle slip

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Research progress of pavement icing status recognition and icing sensor

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Journal of Traffic and Transportation engineering(English Edition) 2024年

作者： Peng Guo Jiaomeng Zheng Junfeng gao Ruiqing Ma Hongren Gong Yuanzhao chen National and Local Joint engineering Research Center of Transportation and civil engineering Materials， Chongqing jiaotong university school of Materials Science and engineering， Chongqing jiaotong university Planning and Construction Department of Luoyang High-tech Industrial Development Zone Key Laboratory of Road and Traffic engineering of Ministry of Education， Tongji university school of civil engineering and Transportation， North china university of Water Resources and Electric Power

The state of the road surface weather is crucial to road safety， and road icing is one of the main factors causing traffic accidents. To promote the development of road icing recognition and sensing technology， this article reviews the research progress of road icing sensors both domestically and internationally. Firstly， the classification of pavement status was introduced， the hazards of pavement icing to traffic safety were clarified， and the importance of pavement icing identification to traffic safety management was recognized. Then， based on the different ways of pavement icing perception， the pavement icing sensor was divided into contact pavement icing sensor and non-contact pavement icing sensor， and the classification， working principle and characteristics of pavement icing sensor were analyzed and summarized. At the same time， based on the differences of different pavement state recognition technologies and the actual road inspection and monitoring needs， the application scope， recommendation index and improvement suggestions of various pavement icing sensors are given. Finally， the future improvement direction of pavement icing sensor is discussed. It is suggested that the meteorological information system of the road network should be combined with the road icing sensor to realize the timely warning of the road icing state and improve the road traffic safety.

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Understanding the Resilience of Urban Rail Transit:Concepts,Reviews,and Trends

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engineering 2024年第10期41卷 7-18页

作者： Yun Wei Xin Yang Xiao Xiao Zhiao Ma Tianlei Zhu Fei Dou Jianjun wu Anthony chen Ziyou gao Beijing Mass Transit Railway Operation Corporation Ltd. Beijing 100044China school of Systems Science Beijing Jiaotong UniversityBeijing 100044China Traffic Control Technology Corporation Ltd. Beijing 100160China Department of civil and Environmental engineering The Hong Kong Polytechnic UniversityHong Kong 999077China

As the scale of urban rail transit(URT)networks expands,the study of URT resilience is essential for safe and efficient *** paper presents a comprehensive review of URT resilience and highlights potential trends and directions for future ***,URT resilience is defined by three primary abilities:absorption,resistance,and recovery,and four properties:robustness,vulnerability,rapidity,and ***,the metrics and assessment approaches for URT resilience were *** metrics are divided into three categories:topology-based,characteristic-based,and performance-based,and the assessment methods are divided into four categories:topological,simulation,optimization,and *** of various metrics and assessment approaches revealed that the current research trend in URT resilience is increasingly favoring the integration of traditional methods,such as conventional complex network analysis and operations optimization theory,with new techniques like big data and intelligent computing technology,to accurately assess URT ***,five potential trends and directions for future research were identified:analyzing resilience based on multisource data,optimizing train diagram in multiple scenarios,accurate response to passenger demand through new technologies,coupling and optimizing passenger and traffic flows,and optimal line design.

关键词： Urban rail transit Resilience assessment Resilience improvement Network disruption

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Physics Guided Deep Learning-Based Model for Short-Term Origin–Destination Demand Prediction in Urban Rail Transit Systems Under Pandemic

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engineering 2024年第10期41卷 276-296页

作者： Shuxin Zhang Jinlei Zhang Lixing Yang Feng chen Shukai Li Ziyou gao school of Systems Science Beijing Jiaotong UniversityBeijing 100044China school of civil engineering Beijing Jiaotong UniversityBeijing 100044China

Accurate origin–destination(OD)demand prediction is crucial for the efficient operation and management of urban rail transit(URT)systems,particularly during a ***,this task faces several limitations,including real-time availability,sparsity,and high-dimensionality issues,and the impact of the ***,this study proposes a unified framework called the physics-guided adaptive graph spatial–temporal attention network(PAG-STAN)for metro OD demand prediction under pandemic ***,PAG-STAN introduces a real-time OD estimation module to estimate real-time complete OD demand ***,a novel dynamic OD demand matrix compression module is proposed to generate dense real-time OD demand ***,PAG-STAN leverages various heterogeneous data to learn the evolutionary trend of future OD ridership during the ***,a masked physics-guided loss function(MPG-loss function)incorporates the physical quantity information between the OD demand and inbound flow into the loss function to enhance model ***-STAN demonstrated favorable performance on two real-world metro OD demand datasets under the pandemic and conventional scenarios,highlighting its robustness and sensitivity for metro OD demand prediction.A series of ablation studies were conducted to verify the indispensability of each module in PAG-STAN.

关键词： Short-term origin-destination demand prediction Urban rail transit Pandemic Physics-guided deep learning

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Preparation of temperature-controlled salt storage materials and application in ultra-thin friction course

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Journal of Traffic and Transportation engineering(English Edition) 2024年

作者： Yixue shang Peng Guo Junfeng gao Yunxia Feng Yuhong Luo Yuanzhao chen Yang Liu Feng Wang National and Local Joint engineering Research Center of Transportation and civil engineering Materials， Chongqing jiaotong university school of civil engineering and Transportation， North china university of Water Resources and Electric Power Transportation Comprehensive Administrative Law Enforcement Detachment，Chizhou Transportation Bureau china Merchants Chongqing Highway engineering Testing Center Co.，Ltd.

Salt-storage anti-icing ultra-thin friction courses （SAUTFC） are an effective preventive maintenance treatment to improve road performance and ensure the safety of winter pavement traffic. However， the addition of salt storage agents and precipitates decreases the engineering and anti-icing performance. Hence， this study used the temperature-controlled salt-controlled-release deicer （SCD） to prepare and characterize SAUTFC. The microstructure and properties of SCD were investigated. The SAUTFC preparation procedures and content of SCD were determined. Subsequently， the interlayer bonding properties， skid resistance performance， and anti-freeze properties were evaluated. The results indicated that SCD with a glass transition temperature of 0.2 °C can control the precipitation of salts before the winter. The SCD dosing in SAUTFC is 75% of the replacement mineral powder， and interlayer shear strength reaches its maximum when the application rate of the tack coat is 1 kg/m2. The wear resistance of SAUTFC was investigated by accelerated loading tests， which showed that SAUTFC still provides excellent skid resistance after four years. In addition， the SAUTFC accelerates the melting rate of snow and ice and decreases the bonding force between ice and the specimen surface， with excellent anti-freeze durability. Therefore， the application of salt storage materials in ultra-thin friction courses to provide active snow and ice removal on winter pavements is feasible.

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基于冗余分析与受体模型的岷江水质特征与流域污染源解析

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水生态学杂志 2024年第5期45卷 142-150页

作者：任兴念陈斯恺郭珊珊高东东王春张涵西南交通大学环境科学与工程学院四川成都610031 中国十九冶集团有限公司四川成都610031 四川省生态环境科学研究院水环境研究所四川成都610000

基于岷江眉山段地表水水质数据与土地利用指标,利用冗余分析(RDA)阐明水质对土地利用的响应机制,并将此作为辅助信息来优化正定矩阵因子分解(PMF)模型中的污染源解析过程,为污染源判定提供科学依据。结果表明,研究区以氮磷和有机污染为... 详细信息

基于岷江眉山段地表水水质数据与土地利用指标,利用冗余分析(RDA)阐明水质对土地利用的响应机制,并将此作为辅助信息来优化正定矩阵因子分解(PMF)模型中的污染源解析过程,为污染源判定提供科学依据。结果表明,研究区以氮磷和有机污染为主,各水质指标间存在不同程度关联性;土地利用指标对水质指标的影响方式和强度不同,耕地、建设用地、人口密度、化肥施用量和单位面积工业GDP表现为对水质不利的因素,林地和草地为对水质保护有利的因素;污染源贡献依次为企业点源污染排放(23.13%)>农业面源污染(18.71%)>季节因素(16.67%)>生活污水排放(15.56%)>城市面源污染(15.26%)>自然源(10.67%)。

关键词：水环境流域污染 PMF模型冗余分析源解析岷江

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常温下大体积梁桥承台的温度监控分析

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武汉理工大学学报 2009年第8期31卷 55-57页

作者：刘山洪黄强付祥能高丽重庆交通大学土木建筑学院重庆400074 重庆桥梁工程有限责任公司重庆400060

温度监控为桥墩承台大体积混凝土施工方提供了可靠的数据,为防止温度裂缝的出现起到了积极的作用,结合工程实际介绍了大体积混凝土在常温下的温度监控措施,可以作为其它桥墩台大体积混凝土施工提供借鉴。

关键词：大体积混凝土常温温度裂缝温度监控

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