Information
Edited & Published: Editorial Office of Journal of Dalian Jiaotong University
Publication Period: Bimonthly
Publisher: Dalian, Liaoning Province, China
Language: Chinese
Superintendent: Liaoning Provincial Department of Education
Sponsored by: Dalian Jiaotong University
Editor in Chief: Chen Bingzhi
Executive Editor in Chief: Guo Ruijun
China National unified serial number: CN 21-1550/U
International Standard Serial Number: ISSN 1673-9590
Periodical website: https://dltd.cbpt.cnki.net
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Research Progress and Applications of Graphene Film Temperature Sensors: A Review
CUI Yunxian;E Mingfeng;AN Wanqing;ZHANG Yu;DENG Shuai;GUO Jiahui;YIN Junwei;Graphene, as a typical two-dimensional material, has demonstrated significant advantages in the field of temperature sensing due to its ultra-high thermal conductivity, excellent electrical properties, and good flexibility. Temperature sensing is a core demand in environmental monitoring, medical health, and microelectronic thermal management, and its accuracy and response speed directly affect the reliability and intelligence level of the system. This paper systematically reviews the research status of graphene temperature sensors, covering temperature response mechanisms, graphene material preparation methods, device processing and integration technologies, and typical application scenarios. On this basis, it further points out that there are still deficiencies in current research in terms of material stability, interface matching, sensitivity improvement, and the construction of a unified evaluation system, and looks forward to future development directions. This review summarizes the research progress and existing problems of graphene temperature sensors, aiming to provide ideas for subsequent research on sensitivity improvement, process optimization, and application expansion.
Analysis and Optimization of Commercial Vehicle Blind Zone Considering Eyellipse
ZHANG Xi;SONG Mingtao;LUO Ye;Heavy vehicles have relatively large direct field-of-view blind spots. Determining the range of blind spots and optimizing them is an important step in enhancing the safety of vehicle operation. Since measuring the field-of-view blind spots with a single eye point cannot reflect the influence of the dynamic changes of the driver's eye point on the blind spots, a method for estimating the field-of-view blind spots of heavy vehicles considering the characteristics of the driver's eye point is proposed. Based on the principle of ray tracing, the influences of the eye point height, longitudinal position, and lateral position on the width of the blind spots are analyzed. Combined with the probability distribution characteristics of the driver's eye point, the probability distribution law of the direct field-of-view blind spots of heavy vehicles is analyzed. Meanwhile, a concave Fresnel lens is introduced to analyze the improvement effect of different lens focal lengths and lens sizes on the width of the blind spots, and to evaluate their compression effect on the dynamic fluctuations of the blind spots, effectively reducing the range of blind spots in heavy vehicles. The research can quickly and accurately simulate the driver's field-of-view blind spots on different height planes of heavy vehicles, reflecting the differences in field-of-view blind spots among different drivers.
A Study on Driving Safety on Snow and Ice Roads Based on Driving Dynamics
LIU Xiu;WANG Yufei;To explore vehicle driving safety in icy and snowy conditions, a research method based on virtual simulation tests of vehicle dynamics is proposed. Three factors, namely vehicle speed, curve radius and road adhesion coefficient, are selected. Four indicators, namely lateral acceleration, lateral offset, roll angle and yaw rate, are used as the evaluation criteria for vehicle stability. A dynamic simulation model is constructed using CarSim software to simulate 20 typical driving scenarios under icy and snowy conditions, and the influence laws of each factor on vehicle skidding and rollover are analyzed. The research results show that when the road adhesion coefficient is in the range of 0.10 to 0.20, the vehicle is prone to skidding first; when it is in the range of 0.21 to 0.35, the vehicle will directly roll over. Through comprehensive analysis of the three influencing factors, it is found that the curve radius has the most significant impact on skidding, while vehicle speed is the key factor causing rollover accidents. The research results can provide references for the reasonable selection of road alignment parameters and the formulation of dynamic speed limit measures, and provide theoretical basis for traffic management departments to take targeted measures.
A Parallel Computing Method of Pedestrian Simulation in Urban Rail Transit Network Operation
XIN Chao;ZHANG Beichen;WU Zanyang;ZHAO Hongbo;GUO Tan;LI Pei;LIU Jiawei;ZHAO Hantao;Aiming at the common problem of computational efficiency bottleneck in pedestrian simulation technology for large-scale crowd scenarios, a method for task division and parallel computing of pedestrian simulation in urban rail transit stations based on networked operation is proposed. This method adopts a field-based pedestrian simulation model and combines the structural characteristics of the rail transit network to design a simulation computing task division strategy based on the greedy algorithm, evenly distributing the network-level pedestrian simulation computing tasks to multiple threads to achieve parallel computing of large-scale pedestrian flow simulation. The results show that the single simulation step speedup ratio of the proposed method can reach 2.5, and the multi-simulation step speedup ratio can reach 4.5, effectively improving the computational efficiency of pedestrian simulation in urban rail transit systems under networked operation conditions.
Analysis of the Operation Quality and Stability of Rail Transit Trains on Long-span Bridges
SHANG Ting;ZHONG Hao;XIAO Sihang;HUANG Zhengdong;KONG Yunsen;To study the running quality and smoothness of rail vehicles passing through long-span bridges, a vehicle-bridge coupling vibration model was established with a large-scale road-rail dual-purpose steel truss cable-stayed bridge in Chongqing as the research object. The accuracy of the model was verified by the measured modal data of the bridge. Then, under the train overloading condition(42.385 t), five simulation analyses were carried out at speeds of 50, 60, 70, 80, and 90 km/h respectively, and the lateral and vertical vibration accelerations of the car body were collected. Through time-domain and frequency-domain analysis of the data, the smoothness index and running quality of the target car body were calculated and compared with the measured data. The research results show that the vertical vibration of the rail vehicle car body on long-span bridges is generally less than the lateral vibration, and the smoothness differences among carriages are small. The simulation results of the bridge's natural vibration characteristics and the train's smoothness are consistent with the field test data, which proves that the established vehicle-bridge coupling model is highly accurate, and the simulation calculation process is suitable for evaluating the smoothness of rail vehicles on long-span bridges. After evaluation, the smoothness and running quality of the operating trains on this long-span bridge are both excellent.
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