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中文核心期刊
CSCD来源期刊
中国科技核心期刊
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    Transport+Big Data and Artificial Intelligence
    Calculation Method of Urban Rail Transit Accessibility
    WEI Panyi1,2, HUANG Jianling3, CHEN Yanyan1, CHEN Ning1, WU Kehan4, SUN Jiyang1,2, WANG Zhenbao5
    2019, 38(10): 1-6.  DOI: 10.3969/j.issn.16740696.2019.10.01
    Abstract ( )   PDF (690KB) ( )  
    Rail transit is the backbone of urban passenger transport system, and the accessibility is an important index for evaluating the rationality of public transport. The objective and accurate evaluation of rail transit accessibility plays an important role in decisionmaking support for railtoconventional public transfer adjustment and land use planning around rail stations.By summarizing the traditional concept of accessibility and combining with the characteristics of rail transit system, the accessibility of rail transit was defined.Considering the convenience of rail transit and conventional public transit, and the convenience of interchange between rail transit stations, a model for calculating the accessibility of rail transit was established. With the help of ArcGIS, TransCAD and other tools, taking Beijing rail transit as an example, the accessibility distribution of Beijing rail transit was calculated, and the changes of the accessibility of the rail system before and after the opening of the middle section of Beijing Metro Line 14 were compared and analyzed.The result shows that the proposed method can calculate the rail transit accessibility objectively and accurately, which can be well applied in the accessibility evaluation of rail transit.
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    Ship Trajectory Restoration Method Based on BLSTM-RNN
    WANG Guihuai1, ZHONG Cheng2, CHU Xiumin2, ZHANG Daiyong2
    2019, 38(10): 7-12.  DOI: 10.3969/j.issn.1674-0696.2019.10.02
    Abstract ( )   PDF (529KB) ( )  
    Aiming at the problem of missing AIS trajectory number of inland waterway trunk ships, a method of ship trajectory data repair method based on bidirectional long-term and short-term memory network (BLSTM-RNN) model was proposed. A two-layer bidirectional recurrent neural network (RNN) model was constructed by using ship trajectory context information and other return features as model input. In the model input, correlation analysis and sequence autocorrelation coefficient were used to determine the correlation variables of ship trajectory points and the autocorrelation lag value of ship trajectory sequence. In the model structure, the super-parametric values of the model were reasonably set with the ACC rate as the index. Taking the ship trajectory data of Wuhan section and Chongqing section of the Yangtze River trunk waterway as samples, empirical verification of the proposed model was carried out. The experimental results show that, compared with linear and other machine learning methods, the accuracy of BLSTM-RNN method is improved to a certain extent. In the experiment of straight-line reach in Wuhan section, the repair error is controlled within 15 m magnitude, which is much lower than that of other non-linear methods. In the complex reach of Chongqing section, the repair error can be controlled in the order of 10m. In addition, the proposed model solves the problem of accuracy loss of traditional methods at long-distance loss points, and reduces the repair error to 50 m magnitude when 20 continuous points are lost.
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    Lane Image Sequence Stitching Based on SURF and Optimal Seam
    LAN Zhangli, LI Zhan, LI Wei
    2019, 38(10): 13-18.  DOI: 10.3969/j.issn.1674-0696.2019.10.03
    Abstract ( )   PDF (1533KB) ( )  
    In view of the fact that the lane camera couldn't capture the complete vehicle image when vehicles were running on line or occupying more than one lane in traffic accidents,a lane image sequence mosaic method was proposed based on SURF (speed up robust features) algorithm and the optimal seam, in order to solve the problem of incomplete vehicle information in the process of image acquisition.Firstly, an algorithm for finding the optimal corresponding image was proposed according to the trajectory of the vehicle,which was used to find the approximate synchronous image.Secondly,the SURF was used to detect the key points in the image and the image was coarsely registered,and then the RANSAC method was used to remove the misregistration points to achieve the accurate registration.Finally,the optimal seam was used to segment and stitch along the overlapping area of the image.The experiment shows that the proposed method can find the approximate synchronous captured image, accurately calculate the overlapping area of the image, avoid the suture passing through the motion area, and solve the problems of ghosting and splicing crack caused by the stitching,and a high quality multi-lane image is synthesized to ensure the complete vehicle image.
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    Bridge & Tunnel Engineering
    Method of Three-Dimensional Parametric Bridge Standard Modeling Based on BIM Technology
    SUN Jiancheng1, JIANG Haopeng1, YANG Wenwei1, ZHU Shuanghan1, WANG Kun2
    2019, 38(10): 19-24.  DOI: 10.3969/j.issn.1674-0696.2019.10.04
    Abstract ( )   PDF (577KB) ( )  
    With the constant development of bridge design in China, the design methods represented by BIM technology are gradually increasing, and design schemes emerge in endlessly. In order to make the bridge design method based on BIM technology more standard and practical, BIM standard diagram was established according to three standards of BIM technology and the role and connection of the three standards were also intuitively illustrated.Secondly, based on the characteristics and standards of BIM, a standardized technical model of bridge design and construction management based on BIM was established for bridge design and construction stage.Meanwhile, combined with the Honghe Bridge Project of Yanchong Expressway in Hebei Province, the process of BIM model building and application in the design stage was introduced in detail by using Revit software.The applicability of the proposed method is proved by the case study, which provides a standard technical route and practical experience for the development of BIM technology in the field of bridge design in China.
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    Seismic Fragility Analysis of Reinforced Concrete High-Pier under Near-Field Seismic Waves
    ZHAO Jingang1, HU Jing2, ZHANG Yongshui3, DU Bin1, JIA Hongyu4
    2019, 38(10): 25-32.  DOI: 10.3969/j.issn.1674-0696.2019.10.05
    Abstract ( )   PDF (1617KB) ( )  
    In order to study the fragility of hollow thin-walled reinforced concrete high-pier commonly used in highway bridges under near-field waves, a real rectangular hollow thin-walled reinforced concrete with the height of 90 m is taken as the research object. To obtain the maximum curvatures of the high-pier section, an incremental dynamic analysis is carried by using the software OpenSees by considering of the randomness of the pier and the randomness of the near-field waves. The critical curvature values of the pier sections are chosen as the damage indexes, and the seismic fragility and plastic hinge analysis of the high-pier is conducted. The results show that the variation law of the critical curvature values of the high-piers sections in longitudinal direction and transvers direction is great difference along the height direction of the pier. The probability of the complete injury is small when the seismic waves input direction is the longitudinal and the transvers of the bridge respectively. Both the bottom area and the middle and upper area of the high-pier are easily damage and formed plastic hinges when the near-field seismic waves input along the longitudinal direction of the bridge. Only the bottom area is easily damage and formed plastic hinges when the near-field seismic waves input along the transvers direction of the bridge, and the damage probability of the middle and upper area of the high-pier is small. The distribution area and length of plastic hinge of the reinforced concrete high-pier will be underestimated by only considered the randomness of the near-field waves.
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    Damage Detection Method of Bridge Model Based on Curvature Variation of Bridge Deck
    ZHANG Xiaoyan, WANG Fuzi, YU Hui, WU Jie, TANG Liang
    2019, 38(10): 33-40.  DOI: 10.3969/j.issn.1674-0696.2019.10.06
    Abstract ( )   PDF (1338KB) ( )  
    In the laboratory, the T-beam simply supported plexiglass model bridge was loaded in multiple stages. The 3D point cloud data of the bridge deck was collected by using the 3D laser scanning system. The point cloud deformation data of bridge deck under different working conditions were analyzed, and the variation law of Gauss curvature cloud of bridge deck caused by different locations and numbers of damage of main girder was numerically analyzed by finite element method. For the three representative working conditions of the model bridge-non-damaged no-load, non-damaged full-load and damaged full-load, the bridge surface Gaussian curvature cloud map obtained by finite element data and point cloud data was compared and analyzed.The 3D laser plane point cloud data was attempted to link with the damage of the bridge structure,and the damage identification method of the bridge structure based on the variation of the bridge surface Gaussian curvature was explored.The results show that the Gauss curvature of the bridge is more sensitive to the damage than the change of the deflection.The number and location of structural damage can be identified by the variation of the Gauss curvature of bridge deck, which provides a reference for structural damage identification on real bridges in the future.
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    A Prediction Model of Rock Burst in Tunnel Based on the Improved MATLAB-BP Neural Network
    SUN Chensheng
    2019, 38(10): 41-49.  DOI: 10.3969/j.issn.1674-0696.2019.10.07
    Abstract ( )   PDF (725KB) ( )  
    In view of the worldwide problem of rock burst prediction in the field of underground engineering, the relevant research results of many scholars on the influencing factors, prediction methods and criteria of rock burst were summarized and expounded firstly. Furthermore, 9 main predictive correlation indexes were introduced, including maximum principal stress σmax, tangential stress of rock mass σθ, uniaxial tensile strength σt, uniaxial compressive strength σc, point load strength of rock examples Is, σθ/σc,σc/σt, buried depth of tunnel h and impact tendency index Wet. Under the condition of collecting typical underground rock burst projects at home and abroad, based on in-situ stress monitoring data and guided by non-linear scientific theory, an improved BP neural network prediction model considering the above 9 key prediction indexes was established. The proposed model was validated by an engineering example. The research results show that: the improved algorithm model realizes the organic combination of the non-linear theory and the network analysis method, avoids the shortcomings of the ordinary algorithm, such as slow convergence speed of the network, easy to fall into the local minimum point. The proposed prediction model has obvious advantages over the complex structure. The prediction results of the improved algorithm model are in good agreement with the actual situation, which can provide guidance and reference for the rock burst prediction of tunnel and underground engineering.
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    Highway & Railway Engineering
    Mechanical Properties of Asphalt Concrete Pavement Assembly Type Base Structure
    SUN Jiancheng, BAO Keduan
    2019, 38(10): 50-55.  DOI: 10.3969/j.issn.1674-0696.2019.10.08
    Abstract ( )   PDF (610KB) ( )  
    Compared with the traditional asphalt pavement structure, the asphalt concrete pavement assembly type base structure has the advantages of environmental protection, high-speed and economy. In order to deeply study the mechanical properties of asphalt concrete pavement assembly base structure, ABQUS finite element software was used to study the influence of the length, thickness and elastic modulus of the precast plate on the mechanical behavior of the base. The research results show that when the side length of prefabricated plate within the scope of the 1 m to 2 m and the side length is 1.4 m, the maximum vertical strain at the bottom of the base course of the assembled asphalt concrete pavement structure is minimal. Within a certain range, the thickness of the prefabricated plate and the modulus of the prefabricated plate have little effect on the maximum vertical strain value of the substrate. The side length of the prefabricated plate has a greater influence on the stress behavior of the substrate than the thickness and elastic modulus of the prefabricated plate do.
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    Optimum Healing Temperature and Healing Time of Recycled Asphalt Based on DSR
    XIANG Hao1,ZHANG Wenwu2,LIU Peng2, YAO Qiwen1,HE Zhaoyi1
    2019, 38(10): 56-60.  DOI: 10.3969/j.issn.1674-0696.2019.10.09
    Abstract ( )   PDF (370KB) ( )  
    In order to find out the potential optimal healing temperature and healing time of recycled asphalt, the fatigue-healing-fatigue cyclic loading test was carried out by time-sweep mode of dynamic shear rheometer (DSR). The relationship between healing temperature, healing time and healing degree of 70# base asphalt regenerated asphalt after different aging degrees and those of the regenerated asphalt with different regenerants was analyzed. The optimal healing temperature was the temperature corresponding to 90% healing degree, and the time corresponding to 90% healing degree was chosen as the optimal healing time under the optimal healing temperature. The results show that the self-healing performance of regenerated asphalt increases with the increase of healing temperature and healing time. The optimal healing temperatures of 70#R85, 70#R170 and 70#P aged asphalt after regeneration are 47.7, 54.6 and 60.8 ℃ respectively, and the corresponding optimal healing time was 25.3, 27.5 and 26.6 min respectively. The optimal healing temperatures of 70# R170 aged asphalt added with 70# base asphalt, RA-2 regenerant, and H100 regenerant after regeneration are 55.6, 54.6 and 49.6 ℃ respectively, and the corresponding optimal healing time is 32.2, 26.6 and 21.2 min respectively.
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    The Performance of Permeable Thin Layer Anti-sliding Material
    ZHANG Dongchang1, NING Binquan2, WU Jie1, CHEN Fei1
    2019, 38(10): 61-67.  DOI: 10.3969/j.issn.1674-0696.2019.10.10
    Abstract ( )   PDF (897KB) ( )  
    Aiming at the problems of poor bonding ability, insufficient sliding resistance and wearing resistance of current asphalt pavement anti-sliding repair technology, a new type of permeable thin layer anti-sliding material was developed with polyurethane as permeation cementing material, combined with anti-sliding aggregate, filler and additives. Tensile strength, fracture elongation, wear loss, fluidity and anti-sliding performance after curing were taken as technical indexes to determine the blending ratio of each material. Through the accelerated wear test, the performance of the permeable thin layer anti-sliding material was tested. The construction technology was summarized according to the characteristics of the materials, and the experience for the application of the permeable thin layer anti-sliding material in the future was accumulated.
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    Risk Evaluation of Urban Rail Transit Construction Based on Interval Intuitionistic Fuzzy Sets
    YAN Meng
    2019, 38(10): 68-73.  DOI: 10.3969/j.issn.1674-0696.2019.10.11
    Abstract ( )   PDF (401KB) ( )  
    The construction process of urban rail transit projects often faces great risks due to the large investment in the rail transit project, the long construction period and extremely complex construction technology and environment. Therefore, the comprehensive evaluation of construction risks is required. Firstly, according to the goal of rail transit project construction, 15 index factors such as the reliability of construction method, the material price and schedule guarantee measures were selected from the 4 aspects, including quality, cost, time and safety. Then, the evaluation index system of urban rail transit project construction risk was established. Furthermore, based on the interval intuitionistic fuzzy sets, the construction risk evaluation model of urban rail transit project was established. Finally, an empirical analysis was carried out with actual cases to verify the effectiveness of the method. The research results indicate that the proposed risk evaluation method of urban rail transit construction is effective, which can provide support for risk assessment of urban rail transit project construction.
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    Port & Waterway · Hydraulic & Hydroelectric · Resources & Environment
    Connotation of Waterway Bearing Capacity and Its Evaluation Method —— Taking the Upper Yangtze River as an Example
    LI Wenjie1, LI Weiming2, YANG Shengfa1, YANG Wei1, WANG Dawei2
    2019, 38(10): 74-80.  DOI: 10.3969/j.issn.1674-0696.2019.10.12
    Abstract ( )   PDF (561KB) ( )  
    Bearing capacity is an important basis for social and economic development planning, but the connotation of waterway bearing capacity is not yet clear, and there is also lack of evaluation research on waterway bearing capacity. The analysis of the definition of various bearing capacity showed that its connotation included four elements: bearing body, bearing object, bearing condition and bearing capacity index. Based on this, four factors of waterway bearing capacity were discussed and defined as: within a certain period of time, within a certain river section, the waterway bearing capacity of social and economic sustainable development at a certain scale. The balance index of supply and demand of waterway bearing capacity was proposed as bearing capacity index to evaluate the waterway bearing capacity, that is, the ratio of economy-driven shipping demand to waterway transit capacity. Taking the waterway of the upper Yangtze River as an example, the bearing capacities of three reaches named Yibin-Chongqing, Chongqing-Fuling and Fuling-Yichang were estimated and evaluated, which showed that the bearing capacity of the upper Yangtze River was currently approaching saturation, and the waterway upgrading was urgently needed to meet the sustainable social and economic development in the future. The maximum exploitable water scale was estimated, which indicated that there was a certain improvement potential in the waterway. The case study of the upper reaches of the Yangtze River shows that the proposed connotation and evaluation method of the waterway bearing capacity have a certain applicability, which can provide supports for the planning and construction of the waterway.
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    Experimental Study on Simulated Similar Materials of Ancient Landslide Marl
    WU Jinhua1, YUAN Zhihong2,ZHOU Yongfeng3
    2019, 38(10): 81-86.  DOI: 10.3969/j.issn.1674-0696.2019.10.13
    Abstract ( )   PDF (621KB) ( )  
    In order to determine the optimum mix ratio of similar marl materials in the ancient landslide model test of “Lijiawan”, the test scheme was designed by orthogonal test principle. Using barite powder, quartz sand, gypsum and water as raw materials, similar marl materials were prepared. Physical and mechanical indexes such as elastic modulus, cohesion and internal friction angle, stress-strain relationship curves and failure modes of similar materials with different proportions were obtained. Finally, the sensitivity of each factor was analyzed by the orthogonal principle. The influence rule of various factors on the physical and mechanical properties of similar materials were studied. The research shows that: barite powder has the greatest impact on the compressive strength of rock-like materials; gypsum has the greatest impact on the elastic modulus and cohesion of similar rock materials; quartz sand has the greatest influence on the internal friction angle and Poisson’s ratio of similar rock materials. The stress-strain curves of similar rock mass materials are basically the same as the stress-strain curves of the marl in the third series of soft rocks. For similar materials of rock mass, the failure mode is brittle splitting failure or brittle tension failure, which can simulate the stress-strain curve and failure mode of marl better. By drawing up the similarity ratio, the optimum mixture ratio of similar materials for simulating marl is determined by range analysis.
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    Study on Complex Relationship of Multiple Causes of Disaster System Based on Interaction-Matrix Method
    YAO Lingkan1,2,3, ZHANG Mengshuai1, HUANG Yidan1, SUN Shaowei1
    2019, 38(10): 87-94.  DOI: 10.3969/j.issn.1674-0696.2019.10.14
    Abstract ( )   PDF (739KB) ( )  
    Large-scale disasters are often triggered by multiple causal factors, which interact in a complicated way. It is the key to reveal the mechanism of disasters and formulate prevention and control measures to clarify the causal relationship between factors and identify the formation ways of disasters. Taking the landslide occurred at the Badu railway station on Nanning-Kunming railway as an example, the causes of the primary and secondary landslides were illustrated by employing an accident tree firstly. Secondly, aiming at the situation of staggered influence and hierarchical chaos between the influencing factors of primary and secondary landslides, a dual-level hierarchical structure that reflected the primary causal factors of two-grade landslide system was drawn by an interpretative structure model method, which simplified and layered the complex relationship. Finally, in view of the interaction between factors and systems, the interaction matrix method was used to compare and select the route schemes based on the weakest interaction between engineering and environment, and the construction risk control based on disaster path analysis was studied. The results show that when the cause of disaster system is clear, the formation and development process of disaster can be well clarified by using accident tree method. When the relationship between factors in the system is confused and the logic is not clear, the interpretive structural model method can make it logically, hierarchically and systematically. When there is interaction in the system, the interaction matrix method has significant advantages in quantitative analysis of the internal action intensity and disaster path analysis.
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    Traffic & Transportation Engineering
    Safety Evaluation Research of Interchange Off-Ramp Based on Entropy Weight Matter-Element Model
    LIU Tangzhi1, BAI Jingrong2, NIE Shulei3, SHENG Qijing2, LIU Fei1
    2019, 38(10): 95-101.  DOI: 10.3969/j.issn.1674-0696.2019.10.15
    Abstract ( )   PDF (491KB) ( )  
    The scientific evaluation of the safety of the interchange off-ramp is of great significance to improve the safety of highway traffic and reduce traffic accidents. In order to evaluate the safety of the interchange off-ramp, the factors from 4 aspects were selected, that is the off-ramp road friction coefficient, turning radius, shift lane length, sight distance and exit sign information. The index of each factor was concretized and the evaluation index system was constructed. The entropy weight matter-element evaluation method was introduced to establish the safety evaluation model of the interchange off-ramp. The case of an interchange off-ramp in Chongqing expressway was selected for evaluation and analysis. The evaluation results show that the quantitative calculation results of the safety evaluation of the interchange off-ramp based on the entropy weight matter-element model are more accurate and objective than those of other evaluation methods. The factors affecting the lower grade of evaluation were analyzed and studied, and the corresponding suggestions and countermeasures were put forward.
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    Risk Assessment Model of Expressway Roadside
    HUANG Yubing1,LAN Xingyang1,WEI Zhiguo2,SHI Hongxing3
    2019, 38(10): 102-107.  DOI: 10.3969/j.issn.1674-0696.2019.10.16
    Abstract ( )   PDF (758KB) ( )  
    Quantitative evaluation of highway roadside risk is of great significance to solve the problem of insufficient or surplus of safety protection facilities and to formulate safety improvement programs. Through the research, the factors affecting the roadside safety of expressway were summarized into three levels: potential accident risk, accident exposure risk and accident severity risk. Based on the correction of severity risk by operation speed of road section, the risk assessment model of expressway roadside was proposed. The proposed model was used to evaluate the risk of roadside in expressway engineering. The example analysis shows that the evaluation model is effective and reasonable.
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    Layout Optimization of Rectangular Grid Road Multi-mode Bus Network
    XU Ting, JIANG Ruisen, LI Hongqing, LI Qing, CHEN Gang
    2019, 38(10): 108-115.  DOI: 10.3969/j.issn.1674-0696.2019.10.17
    Abstract ( )   PDF (1188KB) ( )  
    In order to solve a series of problems such as unreasonable coverage and high operation cost of public transportation network, two modes of public transport, namely, rapid transit and ground conventional transit were classified and discussed. Therefore, it was imperative to optimize the multi-mode bus network of urban road network. By analyzing the spatial shape of rectangular city and considering the structural characteristics of road network structure, a multi-objective optimization model of public traffic network was constructed, which aimed at minimizing the operation cost of public transport and the average travel time of residents. Taking the main urban area of Zhongshan city as the research object, the key parameters, such as travel time, transfer loss time and waiting time, were obtained based on the actual survey data. The proposed optimization model was solved by using MATLAB simulation software. Suggested values of horizontal and longitudinal distance between bus stops in Zhongshan City under different average travel distances of different residents were given. The study shows that through the model optimization, the average travel time of residents is reduced from 39 minutes to 36.5 minutes, which reduces by 6%, and the cost of bus operation is reduced by 12.7%. The proposed optimization model can provide reference and basis for the optimization of public transport network in rectangular road network cities.
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    LEADSTO Dynamic Simulation Analysis on ATC Pressure Generation Process
    WANG Jiening1,2, ZHANG Congjun1,2, FANG Xiaodan1,2 , SUN Xiaomeng1,2
    2019, 38(10): 116-120.  DOI: 10.3969/j.issn.1674-0696.2019.10.18
    Abstract ( )   PDF (414KB) ( )  
    In order to study the pressure generation process of controllers and take effective measures to alleviate the pressure of controllers, the pressure problem of controllers was analyzed firstly. Through consulting data and investigating, the professional characteristics of controllers and the classification and influence of their pressure source were summarized. Furthermore, based on BODY-LOOP theory, the pressure generation model was established by the logic modeling language LEADSTO (Language and Environment for Analysis of Dynamics by Simulation). According to the established model, the simulation of pressure generation model was realized, and the changing law of each link in the dynamic and complex process was revealed. Through the formal analysis, the logical relationship between different levels in the process of pressure generation was proposed, which provided theoretic basis for the study on the pressure of the controllers. Compared with the traditional method, the proposed method can simulate the dynamic system, which has certain advantages in temporal and complexity. It can also detect the pressure change process of the controllers timely, and provide reference for avoiding unsafe events caused by the pressure of the controllers.
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    Vehicle &Electromechanical Engineering
    Noise Control in Car Based on Multi-objective Dynamics Topology Optimization of Damping Layer
    ZHANG Yu1, CAO Youqiang2
    2019, 38(10): 121-126.  DOI: 10.3969/j.issn.1674-0696.2019.10.19
    Abstract ( )   PDF (1183KB) ( )  
    A multi-objective dynamic topology optimization damping material design method was proposed to control the interior constant noise performance of a certain kind of cars. Firstly, the acoustic and vibration coupling model of the vehicle body was established, and the low frequency noise performance inside the vehicle was calculated and analyzed. Then, the body wall panel noise contribution and modal contribution were taken as the comprehensive evaluation index to establish a multi-objective optimization function of the dynamic mechanical properties of the body panel, and the topology optimization technique was used to obtain the optimal layout of the damping material. Finally, through calculation analysis and actual vehicle verification, it was known that the proposed optimization scheme of damping material had a better effect on improving interior noise performance than the traditional design scheme of damping material based on modal strain energy did. The research shows that the proposed topology optimization design method of damping material can provide ideas and scheme reference for low-frequency noise control of similar vehicles.
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    Path Tracking Based on Quasi-Sliding Mode Control
    LI Wei, TANG Zheng, WANG Hongmin
    2019, 38(10): 127-132.  DOI: 10.3969/j.issn.1674-0696.2019.10.20
    Abstract ( )   PDF (653KB) ( )  
    Aiming at the path tracking problem of the unmanned vehicle during actual driving, a two-degree-of-freedom vehicle dynamics model was established. The path-tracking controller based on the quasi-sliding mode control strategy was designed, and its control strategy was verified by hardware-in-the-loop. The serpentine road was used as the desired tracking path of the quasi-sliding mode controller. The controller calculated the desired steering wheel angle according to the road information and vehicle state feedback in real time and input it to the vehicle model. Vehicle lateral velocity, yaw angular velocity, lateral displacement and yaw angle were the output of vehicle state response. The hardware-in-the-loop verification was carried out by using dSPACE. Simulation and experiment results show that the quasi-sliding mode path tracking control has better lateral stability when tracking the desired path.
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    Application of BP Neural Network in Energy Consumption Estimation of Liquefied Natural Gas Bus
    LI Shaochun1, CHU Yongling1, LIAN Jing2, LIAO Baoliang3, LV Chengju3, JI Shaobo2
    2019, 38(10): 133-138.  DOI: 10.3969/j.issn.1674-0696.2019.10.21
    Abstract ( )   PDF (479KB) ( )  
    In order to solve the problem of huge energy consumption of transportation industry, a statistical monitoring system of transportation energy consumption was established based on the daily operation data of transportation equipment of some transportation enterprises in Shandong Province. Therefore, the transportation energy consumption was controlled macroscopically, in order to find effective ways to reduce the transportation energy consumption. Firstly, the main factors that affected the transportation energy consumption were analyzed. Then, the energy consumption estimation model was established based on BP neural network and was tested, to achieve the accurate prediction of transportation equipment energy consumption in Shandong transportation enterprises. The results show that the main factors that affect the energy consumption of vehicles are turnover, passenger volume, carrying capacity and actual load rate; BP neural network can realize the effective prediction of energy consumption of commercial vehicles and the prediction accuracy reaches 87%, which can provide theoretical basis for effective measures to reduce energy consumption.
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