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Numerical Study on the Gas Leakage and Dispersion at the Street Intersection of a Building Group

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Computer Modeling in engineering & Sciences 2020年第6期123卷 1247-1266页

作者： Weitao Zhang Mengqi Liu Kaiyi Wang Fan Zhang Lei Hou National engineering laboratory for Pipeline Safety Beijing Key Laboratory of Urban Oil and Gas Distribution TechnologyChina University of PetroleumBeijing102249China CangHaiBang Business Unit Supply Chain Business GroupSinochem Energy High-Tech Co.Ltd.Beijing100094China Sinopec Economics&Development Research Institute Beijing100029China College of Arts and Science Boston UniversityBostonMA 02215USA.

Accidents involving natural gas leakage and dispersion pose a significant threat to human life and *** threat is especially relevant at the street intersection at which dense buildings,heavy traffic flow,and complex underground pipe networks *** have conducted numerous studies on gas leakage and dispersion,but investigations of natural gas leakage and dispersion at the street intersection of a building group are not *** this paper,we presented a three-dimensional(3D)physical model based on the Computational Fluid Dynamic(CFD)methodology to study the natural gas leakage and dispersion at the street intersection of a building *** validated the CFD methodology applied in the research based on the data from the field tests and wind tunnel ***,we simulated and analyzed the pressure,wind,and concentration of natural gas dispersion at the street *** simulation results showed that vortex regions,low-pressure zones,and a building group effect could cause a build-up of natural gas concentration under perpendicular wind direction *** addition,the area of hazardous region tended to increase first and then drop with the dispersion *** the case of this study,the maximum area of hazardous region is 200 m2 located in the height of 55 m,which is the middle plane in the computational *** results in the paper can provide scientific references for the safe operation and emergency-management decisions of municipal gas.

关键词： Natural gas computational fluid dynamic building group street intersection leakage and dispersion numerical simulation concentration field

Spatial targeting evaluation of energy and environmental performance of waste-to-energy processing

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Frontiers of Chemical Science and engineering 2018年第4期12卷 731-744页

作者： Petar S.Varbanov Timothy G.Walmsley Yee V.Fan Jiri J.Klemes Simon J.Perry Sustainable Process Integration laboratory NETME CentreFaculty of Mechanical EngineeringBmo University of Technology61669 Bmo Czech Republic Centre for Process Integration School of Chemical Engineering and Analytical ScienceThe University of ManchesterManchester M I 3ALUK

Waste-to-energy supply chains are important potential contributors to minimising the environmental impacts of municipal solid waste by reducing the amounts of waste sent to landfill, as well as the fossil fuel consumption and environmental footprints. Accounting for the spatial and transport properties of the waste-to-energy supply chains is crucial for understanding the problem and improving the supply chain designs. The most significant challenge is the distributed nature of the waste generation and the household energy demands. The current work proposes concepts and a procedure for targeting the size of the municipal solid waste collection zone as the first step in the waste-to-energy supply chains synthesis. The formulated concepts and the provided case study reveal trends of reducing the net greenhouse gas savings and energy recovery by increasing the collection zone size. Population density has a positive correlation with the greenhouse gas saving and energy recovery performance. For smaller zone size the energy recovery from waste approaches and in some cases may surpass the energy spent on waste transportation. The energy recovery and greenhouse gas savings remain significant even for collection zones as large as 200 km2. The obtained trends are discussed and key directions for future work are proposed.

关键词： waste-to-energy supply chain optimisation GHG savings energy recovery ratio

Contact Angle Prediction Model for underwater Oleophobic Surfaces Based on Multifractal Theory

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中国炼油与石油化工:英文版 2023年第3期25卷 37-48页

作者： Jiang Huayi You Yanzhen Hu Juan Tian Dongmei Qi Hongyuan Sun Nana Liu Mei College of Petroleum engineering Xi’an Shiyou UniversityXi’an 710065ShaanxiChina Shaanxi key laboratory of Advanced Stimulation Technology for Oil&Gas Reservoirs Xi’an Shiyou UniversityXi’an 710065ShaanxiChina The Second Gas Production Plant Changqing Oilfield CompanyYulin 719000ShaanxiChina

Traditional microstructure scale parameters have difficulty describing the structure and distribution of a roughmaterial’s surface morphology comprehensively and quantitatively. This study constructs hydrophilic and underwateroleophobic surfaces based on polyvinylidene fluoride (PVDF) using a chemical modification method, and the fractaldimension and multifractal spectrum are used to quantitatively characterize the microscopic morphology. A new contactangle prediction model for underwater oleophobic surfaces is established. The results show that the fractal dimension ofthe PVDF surface first increases and then decreases with the reaction time. The uniformity characterized by the multifractalspectrum was generally consistent with scanning electron microscope observations. The contact angle of water droplets onthe PVDF surface is negatively correlated with the fractal dimension, and oil droplets in water are positively *** the fractal dimension is 2.0975, the new contact angle prediction model has higher prediction accuracy. Themaximum and minimum relative deviations of the contact angle between the theoretical and measured data are 18.20%and 0.72%, respectively. For water ring transportation, the larger the fractal dimension and spectral width of the materialsurface, the smaller the absolute value of the spectral difference, the stronger the hydrophilic and oleophobic properties, andthe better the water ring transportation stability.

关键词： contact angle hydrophilic-oleophobic surface polyvinylidene fluoride multifractal prediction model

Agile transportation Based on C^3I^2 Information Fusion

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Journal of Systems Science and Information 2007年第3期5卷 257-267页

作者： Zhiyong Lue Xinpin Yang Yihui Yu Hanmin Zu Jianshu Cao engineering Center of Waterway ＆ Highway Traffic Safety Control and Equipment State Education Ministry Wuhan University of Technology Wuhan 430063 China Wuhan Railway Vocational College of Technology Wuhan 430063 China

Through the Agility of Agile transportation key concept and the C^3I^2 mode of information fusion, the realization mechanism of Agile transportation is to be discussed for analyzing influence of which the idea of multilateral virtual alliance works on Agility of transportation enterprise. By research on the agile transportation based on network information fusion, middle layers axe reduced, and the pyramid management mode is transformed to fiat management mode. The modern logistic technology is used to enhance the ability of multilateral virtual alliance --cooperation ability, flexible dispatching ability of logistic node, speediness transportation ability, response ability of transportation market change , to become accessible , integrated , efficient, offers flexibility of choices, convenient transportation system.

关键词： agile transportation information fusion

Oxygen Vacancy-Rich 2D TiO_(2) Nanosheets:A Bridge Toward High Stability and Rapid Hydrogen Storage Kinetics of Nano-Confined MgH_(2)

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Nano-Micro Letters 2022年第9期14卷 79-94页

作者： Li Ren Wen Zhu Yinghui Li Xi Lin Hao Xu Fengzhan Sun Chong Lu Jianxin Zou National engineering Research Center of Light Alloys Net Forming&State key laboratory of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Shanghai engineering Research Center of Mg Materials and Applications&School of Materials Science and engineering Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Center of Hydrogen Science Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Instrumental Analysis Center of SJTU Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

MgH_(2) has attracted intensive interests as one of the most promising hydrogen storage ***,the high desorption temperature,sluggish kinetics,and rapid capacity decay hamper its commercial ***,2D TiO_(2) nanosheets with abundant oxygen vacancies are used to fabricate a flower-like MgH_(2)/TiO_(2) heterostructure with enhanced hydrogen storage ***,the onset hydrogen desorption temperature of the MgH_(2)/TiO_(2) heterostructure is lowered down to 180℃(295℃ for blank MgH_(2)).The initial desorption rate of MgH_(2)/TiO_(2) reaches 2.116 wt% min^(-1) at 300℃,35 times of the blank MgH_(2) under the same ***,the capacity retention is as high as 98.5% after 100 cycles at 300℃,remarkably higher than those of the previously reported MgH_(2)-TiO_(2) *** in situ HRTEM observations and ex situ XPS analyses confirm that the synergistic effects from multi-valance of Ti species,accelerated electron transportation caused by oxygen vacancies,formation of catalytic Mg-Ti oxides,and stabilized MgH_(2) NPs confined by TiO_(2) nanosheets contribute to the high stability and kinetically accelerated hydrogen storage performances of the *** strategy of using 2D substrates with abundant defects to support nano-sized energy storage materials to build heterostructure is therefore promising for the design of high-performance energy materials.

关键词： Hydrogen storage MgH_(2) TiO_(2)nanosheets Oxygen vacancies Nanoconfinement

利用界面工程来调控铁电隧道忆阻器的生物突触行为

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Science China Materials 2023年第4期66卷 1559-1568页

作者：赵建辉于天奇邵一铎郭瑞林伟南刘公杰周振宇裴逸菲王静娟孙凯旋闫小兵陈景升 key laboratory of Brain-like Neuromorphic Devices and Systems of Hebei Province College of Electronic and Information EngineeringInstitute of Life Science and Green DevelopmentHebei UniversityBaoding 071002China Department of Materials Science and engineering National University of SingaporeSingapore 117575Singapore

界面工程一直是调节铁电隧道结忆阻器(FTM)行为的重要途径,且直接影响其生物突触特性.为了研究界面对人工突触性能的影响,本工作中,我们研究了具有Pt/BaTiO_(3)/La_(0.67)Sr_(0.33)MnO_(3)结构的忆阻器.其中可以通过控制SrTiO_(3)(STO)... 详细信息

界面工程一直是调节铁电隧道结忆阻器(FTM)行为的重要途径,且直接影响其生物突触特性.为了研究界面对人工突触性能的影响,本工作中,我们研究了具有Pt/BaTiO_(3)/La_(0.67)Sr_(0.33)MnO_(3)结构的忆阻器.其中可以通过控制SrTiO_(3)(STO)衬底的终止层和BaTiO_(3)(BTO)薄膜层状生长模式来控制忆阻器器件的界面.由于BTO薄膜相反的铁电极化方向以及与之对应的不同的能带结构,具有不同界面的FTM呈现出相反的电阻开关行为.更重要的是,FTM的突触学习特性也可以通过控制界面来调整.具有不同接口终端的FTM可以调节长时程增强、长时程抑制、尖峰时间依赖性可塑性和配对脉冲促进的不同特性.基于这两种接口工程FTM的突触行为,可以构建人工神经网络系统来完成手写数字图像识别过程,两者的准确率都接近90%.我们的结果为通过纳米级界面工程调整忆阻器的功能提供了有用的参考.

关键词：数字图像识别忆阻器界面工程控制界面电阻开关人工神经网络系统长时程抑制长时程增强

A novel approach for navigational safety evaluation of inland waterway ships under uncertain environment

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transportation Safety and Environment 2022年第1期4卷 29-39页

作者： Jia Liu Xinchen Jiang Weina Huang Yankang He Zhisen Yang School of Mechanical engineering Yangtze UniversityJingzhou 434020China Jingzhou Institute of Technology Jingzhou 434020China Wuhan Rules&Research Institute China Classification SocietyWuhan 430000China College of Urban transportation and Logistics Shenzhen Technology UniversityShenzhen 518000China

This paper proposes a safety evaluation model of inland waterway ship navigation based on the fuzzy theory and evidential reasoning(ER)*** proposed model is a three-level hierarchical system consisting of 18 indicators that are identified and determined through literature review and expert *** using fuzzy theory,the factors of the index level are converted into belief distributions,and the information of indicators within each level is merged by using the ER approach so that the evaluation of the ship’s navigation safety can be *** model can deal with multi-source information and both qualitative and quantitative indicators in an integrated *** case studies on the safety status of ships navigating in the middle reaches of the Yangtze River during dry season are conducted to validate the feasibility and practicability of the proposed *** results show that the risk levels obtained from the proposed model are consistent with the real-life situation to a large *** novel model proposed in this study provides a useful reference for maritime safety management and will help managers and decision-makers in the risk prevention and early warning of inland waterway transportation accidents.

关键词： Inland waterway transportation Yangtze River navigational safety evidential reasoning uncertainty

Turnout fault diagnosis based on DBSCAN/PSO-SOM

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Journal of Measurement Science and Instrumentation 2022年第3期13卷 371-378页

作者： YANG Juhua LI Xutong XING Dongfeng CHEN Guangwu School of Traf fic and transportation Lanzhou Jiaotong UniversityLanzhou 730070China Gansu Provincial key laboratory of Traffic Information engineering and Control Lanzhou 730070China Automatic Control Research Institute Lanzhou Jiao tong UhiversityLanzhou 730070China

In order to diagnose the common faults of railway switch control circuit,a fault diagnosis method based on density-based spatial clustering of applications with noise(DBSCAN)and self-organizing feature map(SOM)is ***,the three-phase current curve of the switch machine recorded by the micro-computer monitoring system is dealt with segmentally and then the feature parameters of the three-phase current are calculated according to the action principle of the switch *** to the high dimension of initial features,the DBSCAN algorithm is used to separate the sensitive features of fault diagnosis and construct the diagnostic sensitive feature ***,the particle swarm optimization(PSO)algorithm is used to adjust the weight of SOM network to modify the rules to avoid“dead neurons”.Finally,the PSO-SOM network fault classifier is designed to complete the classification and diagnosis of the samples to be *** experimental results show that this method can judge the fault mode of switch control circuit with less training samples,and the accuracy of fault diagnosis is higher than that of traditional SOM network.

关键词： turnout fault diagnosis density-based spatial clustering of applications with noise(DBSCAN) particle swarm optimization(PSO) self-organizing feature map(SOM)

Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections

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Science China(Information Sciences) 2021年第7期64卷 104-116页

作者： Hongbo GAO Hang SU Yingfeng CAI Renfei WU Zhengyuan HAO Yongneng XU Wei WU Jianqing WANG Zhijun LI Zhen KAN Department of Automation University of Science and Technology of China Institute of Advanced Technology University of Science and Technology of China The Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Automotive engineering Research Institute Jiangsu University College of Traffic and transportation Southeast University School of Automation Nanjing University of Science and Technology School of Vehicle and Mobility Tsinghua University

Cyclist trajectory prediction is of great significance for both active collision avoidance and path planning of intelligent vehicles. This paper presents a trajectory prediction method for the motion intention of cyclists in real traffic scenarios. This method is based on dynamic Bayesian network(DBN) and long short-term memory(LSTM). The motion intention of cyclists is hard to predict owing to potential large uncertainties. The DBN is used to infer the distribution of cyclists’ intentions at intersections to improve the prediction time. The LSTM with encoder-decoder is used to predict the cyclists’ trajectories to improve the accuracy of prediction. Therefore, the DBN and LSTM are adopted to guarantee prediction accuracy and improve the prediction time. The experiment results are presented to show the effectiveness of the predict strategies.

关键词： trajectory prediction dynamic Bayesian network (DBN) long short-term memory (LSTM) unsignalized intersections motion intention