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中文核心期刊
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中国科技核心期刊
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    Bridge & Tunnel Engineering
    Tensile Force Calculation of Steel Strands Based on Guided Wave Mode Bifurcation Angles
    QIAN Ji1,2, YANG Jinchuan1, LI Changchun1, ZHANG Junbo1
    2018, 37(11): 1-7.  DOI: 10.3969/j.issn.1674-0696.2018.11.01
    Abstract ( )   PDF (757KB) ( )  
    A tension force calculation method was put forward based on the face that ultrasonic guided wave transmission in steel strands will be influenced by tension force. Taking seven cores strands with diameter 15.2mm for example, the longitudinal guided wave frequency dispersion curve was derived from a single wire with different boundary conditions. Then the transmission of guided waves was simulated through finite element method in single wire and tension steel strands, and the reason for mode variation and the change laws of mode bifurcation angle under tensile force were analyzed. The results illustrate that, as the displacement restraint rigidity on wire surface became higher, the dispersion curves of the first order longitudinal guided wave offset to high frequency part integrally, and this phenomenon is more obvious in small wave number portion, which results in mode bifurcation angle around at 300 kHz; under different tensile conditions, the first order longitudinal guided wave mode bifurcation angle is mainly affected by the tangential friction force between the steel wires. A power function relation between mode bifurcation angle and tensile force is established by regression analysis, and the influence of screw pitch and friction coefficient on the function relation is considered.
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    Analysis on Nonlinear Aerostatic Response for Single Cable Suspension Bridge During Completion and Construction Stage
    QIAO Yunqiang1,FU Yao2
    2018, 37(11): 8-14.  DOI: 10.3969/j.issn.1674-0696.2018.11.02
    Abstract ( )   PDF (844KB) ( )  
    Considering the influence of variable cross-section of main girder to the large span suspension bridge with single cable, the test data of aerostatic force coefficients was obtained by the wind tunnel test. Based on this and considering structural geometric nonlinearity and load nonlinearity, the finite element model of the single cable long span suspension bridge at different construction stages and the completed bridge state was established by using ANSYS. With the method of increment and internal and external double iteration, APDL language was used for secondary development to develop corresponding program, and aerostatic stability of large span suspension bridge of nonlinear single cable and nonlinear static wind response under different wind speed in different construction stage and completion state was analyzed. Research suggests that: the critical wind speed of static wind instability of a single cable long-span suspension bridge during construction stage decreases with the increase of main girder assembly rate, and it reaches the minimum before closing. After the completion of the bridge, the stiffness of the structure will increase significantly, and the static wind response have no great impact on the single span cable suspension bridge with completed state. Therefore, attention should be paid to the static response during construction, especially closure.
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    Research on Micro-damage Identification of Beam Structure Based on Distributed Macro-strain Measurement
    ZHANG Hao1 , HAN Naijie2, LIU Kai2, ZHONG Zhixin2
    2018, 37(11): 15-20.  DOI: 10.3969/j.issn.1674-0696.2018.11.03
    Abstract ( )   PDF (838KB) ( )  
    Based on the theory of macro-strain, multiple parameters, included damage range, stiffness reduction, damage location were analyzed. Damage indexs for beam minute damage condition were improved and veritied by indoor test. Besides, after the improvement, damage error was controlled within 2%. The research shows that the amount of stiffness reduction measured by the improved damage index is independent of damage location.When damage range and location are certain, accurate stiffness reduction of minute damage in gauge length can be achieved by fitting formula.In this way, minute damage can be identified accurately.
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    Study on Nondeterminacy of Large or Small Eccentricity in Eccentric Compression Members
    XIAO Guanghong, TANG Minghao, XIE Xin
    2018, 37(11): 21-25.  DOI: 10.3969/j.issn.1674-0696.2018.11.04
    Abstract ( )   PDF (404KB) ( )  
    In the formulas of Code for Design of Highway Reinforced Concrete and Prestressed Concrete Bridges and Culverts(short for Code)for calculation of eccentric compression members, the stress of reinforcing steel is discontinuous, which, to a certain extent, has an influence on the depth of compression zone, judgment of large or small eccentricity and bearing capacity of members. Firstly, in order to study the uniqueness of the quadratic equation and the distribution of the depth of compression zone, theoretical analysis of formulas for eccentric compression members of large or small eccentricity was made. Then, for the purpose of proving the influence on bearing capacity of the eccentric compression member, concrete illustrations containing 3 groups of material, namely C30-HRB335, C50-HRB335 and C30-HRB400, were used for contrastive study. Results show that there is only one solution in(0,+∞)for the quadratic equation; under the circumstance of firstly assuming that it is an member of large eccentricity, there is a blank interval in the distribution of depth of compress zone; under the circumstance of firstly assuming that it is a member of small eccentricity, there are both a blank interval and a wrong judged interval, and the phenomenon of nondeterminacy wont happen when judging the eccentricity. The bearing capacity of the same eccentric compress member has error at the critical eccentricity under both hypotheses. The error of firstly assuming large eccentricity is smaller than that of firstly assuming small eccentricity. There is a positive correlation between the error and the strength of materials. Research on distribution of depth of compression zone and bearing capacity has referential value for further revision of the formulas in the Code.
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    Highway & Railway Engineering
    Effects of Segregation on the Permeability of the Dense-graded Asphalt Mixture
    XIANG Hao, ZHU Hongzhou, CHEN Liuxiao, ZHONG Weiming
    2018, 37(11): 26-34.  DOI: 10.3969/j.issn.1674-0696.2018.11.05
    Abstract ( )   PDF (540KB) ( )  
    In order to study the influence of pavement segregation on the osmotic performance of asphalt mixture with dense gradation, the permeation parameters of AC-13, AC-20 and ATB-25 with asphalt mixture in different gradation were tested by self-made variablehead permeameter.The test results and the phenomena were analyzed combining with the existing norms of critical coefficient of permeability of asphalt mixture. The results show that the permeability of the graded asphalt mixture increases with the increase of segregation degree, and the rate of increase is faster and faster. When the void ratio and the maximum particle size are the same, the gradation separation is more;when the void ratio is the same, the osmotic performance caused by the gradation separation is greater than that of the dense gradation mix with the largest particle size. It is suggested that the 7% field void ratio and the permeability coefficient of 0.001 cm/s should become a standard for pavement design and construction quality control; dense graded asphalt mixture compaction temperature should be no less than 130℃, the temperature change should be controlled within 10 ℃, and the construction should be controlled within the range of mild segregation.
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    Study on Influencing Factors of Noise Reduction and Durability of Fiber Micro-surfacing Based on Orthogonal Test
    LV Quan1, HE Lianming2, LIU Wei2, XU Quanwei2, HE Jing2, ZHU Fuwan2
    2018, 37(11): 35-39.  DOI: 10.3969/j.issn.1674-0696.2018.11.06
    Abstract ( )   PDF (527KB) ( )  
    Micro-surfacing maintenance technology has a wide range of application, but there are still some insufficiencies restricting the micro-surfacing maintenance technology development, such as excessive noise, poor anti-loose performance and poor durability. The influence factors of raw materials, mineral grading, fiber and modified emulsified asphalt were studied in order to provide reference for the design of micro-surfacing mixture. The results show that the mixture with imported fiber has good rutting resistance and water damage resistance; gradation is a significant factor influencing the rutting performance and noise of the mixture; fiber content is a significant factor influencing wear resistance of the mixture.
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    Research on the Compound Modification Effect of Waterborne Epoxy Resin on SBR Emulsified Asphalt
    LI Xiujun1, BI Weilin1, SHI Fangzhi2, LV Jianwei3, HUI Zhifu1
    2018, 37(11): 40-46.  DOI: 10.3969/j.issn.1674-0696.2018.11.07
    Abstract ( )   PDF (757KB) ( )  
    The effects of different blending ratio of waterborne epoxy resin on the properties of evaporation residue of two common types of SBR composite modified emulsified asphalt were studied. Based on one-way ANOVA, the compound modification of waterborne epoxy resin and SBR in the mixed emulsified asphalt mixture were analyzed by 48h immersion Marshall stability, freeze-thaw splitting tensile strength and wet track abrasion test. The results show that the addition of waterborne epoxy resin can increase the softening point of emulsified asphalt evaporation residue and improve the temperature stability and wear resistance stability of emulsified asphalt mixture. The high content of waterborne epoxy resin obviously weakens the temperature ductility of SBR modified emulsified asphalt and the frost resistance of its mixture. High solid content SBR modified emulsified asphalt is not suitable to mix with high ratio of waterborne epoxy resin as compound modifier. Through the tests, waterborne epoxy resin content was recommended for different types of SBR emulsified asphalt.
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    Performance of Coal Liquefied Residue Asphalt Stabilized Gravel Base Materials with Dry Mixing Method
    ZHANG Yiluo1, CHEN Yangyang1, LI Chen2, WANG Jiawei1 , DONG Feilong1 , GUO Chuang1
    2018, 37(11): 47-51.  DOI: 10.3969/j.issn.1674-0696.2018.11.08
    Abstract ( )   PDF (547KB) ( )  
    In order to study the properties of the asphalt stabilized gravel base with dry mixing coal liquefied residue (LQ) method, the coal liquefied residue was incorporated into the asphalt mixture by replacing part of the mineral powder, and the influence of LQ on the performance of the mixture was studied systematically by analyzing the road performance of the asphalt stabilized gravel mixture. The results show that the addition of LQ in the asphalt stabilized gravel base with dry mixing method can improve the high temperature stability and water stability of the mixture but reduce low temperature anti-crack property, and the LQ asphalt stabilized gravel has good anti-fatigue performance at low stress level.
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    Port & Waterway · Hydraulic & Hydroelectric · Resources & Environment
    Optimization Diversion Tunnel Plug Design Based on Reliability Theory
    WANG Kui1, 2, LIU Huan1,LUO Ying3, 4
    2018, 37(11): 52-57.  DOI: 10.3969/j.issn.1674-0696.2018.11.09
    Abstract ( )   PDF (536KB) ( )  
    At present, there is no unified design standards and criteria for the tunnel plug, so the design length of most plugs is too long. Based on the existing methods of traditional fixed value calculation, the reliability theory was introduced into the design calculation of diversion tunnel plug. By analyzing the limit state of the hydraulic tunnel plug, the limit state equation was established.A three-dimensional finite element model of diversion tunnel plug and surrounding rock was established by using nonlinear finite element analysis software ABAQUS. Based on the reliability theory,the explicit performance function of mechanical reliability of plug was obtained and the Matlab program was designed to calculate the reliability of plug.Through the establishment of finite element models with different length of plug, the reliability and stability were analyzed respectively, and length of plug design was optimized considering the reliability and stability of the plug.
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    Numerical Study on the Pore Water Pressure Distribution in Seabed Around Pipelines in Shallow Water
    FU Changjing1, LV Yi1,ZHAO Tianlong1,CHE Quan2, NIE Yuxi1
    2018, 37(11): 58-63.  DOI: 10.3969/j.issn.1674-0696.2018.11.10
    Abstract ( )   PDF (645KB) ( )  
    Offshore oil field exploitation in China started relatively late than other countries, and most oil fields locate in shallow waters. So shallow water wave effect should be fully considered when we study on the stability of submarine pipeline. Based on the Biots theory of consolidation and the approximate cnoidal wave theory, numerical model was established to calculate the pore water pressure distribution in seabed around submarine pipelines in shallow water in view of elasticity of pipelines by using the finite element software ABAQUS. The distribution law of the wave induced excess pore water pressure around the seabed and the influence of pipe-soil contact, seabed soil properties and embedment depth on the excess pore water pressure of seabed soil around the pipeline were analyzed. The calculating results shows that the pipe-soil contact effects has little influence on the excess pore water pressure around the pipeline. However, the permeability, porosity, elastic modulus of seabed and embedment depth have significant influence on the excess pore water pressure around the pipeline. The pipeline will be more probably unstable when the permeability of the seabed is weaker, the elastic modulus is smaller and the buried depth is shallower.
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    Application of BP Neural Network in Elevation Fitting of Underwater Terrain
    PENG Zhongbo, GAO Yang
    2018, 37(11): 64-68.  DOI: 10.3969/j.issn.1674-0696.2018.11.11
    Abstract ( )   PDF (1010KB) ( )  
    A BP neural network was established with neural network module of MATLAB software, and the value of X and Y coordinates of the measured points in the underwater topographic map of the engineering river reach were taken as the input layer neurons, and the corresponding elevation value was the output layer neuron. According to the mass network training sample data,the advantages of various training functions were compared to select the training function suitable for this study, and a large number of training experiments were carried out. The experimental results show that the model can predict the elevation of underwater topography with high accuracy and meet the engineering requirements of topographic survey. So it has a good application value in practical engineering measurement.
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    Traffic & Transportation Engineering
    Study on the Method of Highway Network Planning in Urban and Suburban Areas of China
    ZHANG Zhiqing, LIU Hao, SHEN Bozhao
    2018, 37(11): 69-75.  DOI: 10.3969/j.issn.1674-0696.2018.11.12
    Abstract ( )   PDF (671KB) ( )  
    In order to meet the requirement of the highway facilities planning in the suburban areas, a suburb road network node system was built through analyzing the socio-economic and road traffic characteristics of urban suburbs, learning the traditional method of node importance. By combining with direct connection method, a method of highway network planning was put forward. Moreover, this method was applied to the highway network planning of the Nanjiao district of Datong city. The results show that the planned highway network can meet the traffic demand of the main city road, external road and inner road in the suburban areas,and meet the demand of economic development in the suburban areas. This research results can provide a reference for the highway network planning in suburban areas.
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    Research on Traffic Flow Prediction Method Based on Gated Recurrent Unit Recurrent Neural Network
    WANG Tiying1,SHI Pengchao1,LIU Jiangqiong2,LIU Boyi3,SHI Tianhao4
    2018, 37(11): 76-82.  DOI: 10.3969/j.issn.1674-0696.2018.11.13
    Abstract ( )   PDF (633KB) ( )  
    In order to effectively implement the intelligent traffic management system, it is necessary to improve the accuracy of traffic flow prediction. A short-term traffic flow prediction method was proposed based on the gated recurrent unit recurrent neural network. The new method can effectively model the “sequence information” without relying on the prior knowledge. By adopting this method, the real traffic flow data of British Columbia in Canada was modeled and analyzed, and the predicted effects by inputting data under different lag time were compared. In the meantime, the predicted results were compared with the ones of ARIMA and SVR. The study also demonstrated the predicted effect of new method in weekdays and weekends. The comparison results show that the new method performs well, and the mean absolute percentage errors reduced 74.72% and 12.15% respectively comparing with ARIMA and SVR. This new method achieves a high conformity between the predicted and actual traffic flow, which is effective and accurate for the future traffic flow prediction.
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    Research on the Method of Flow Transfer Based on Actuated Control at Over-Saturated Intersection
    CHENG Wei1, TANG Yichao1, ZHENG Zuoxiong2
    2018, 37(11): 83-90.  DOI: 10.3969/j.issn.1674-0696.2018.11.14
    Abstract ( )   PDF (529KB) ( )  
    A method of flow transfer based on actuated control at over-saturated intersection was presented, in order to improve over-saturated intersection efficiency and solve the over-saturation problem of intersection due to the overflow, with the over-saturated intersection as research object. This method takes the average queue minimum and capacity maximum as the target. The realization of flow transfer was studied from the temporal and spatial measures. Then an actuated control strategy with phase priority function at over-saturated intersection was presented. Based on the actual survey data of Kunming Qing Nian Road - Ren Ming Road, simulation verification was done with the help of the microscopic traffic simulation software VISSIM. The simulation results show that the method of flow transfer can more effectively reduce the queue length and improve the traffic efficiency of over-saturated intersection. This method can effectively prevent the further deterioration of the phenomenon at over-saturated intersection.
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    Research on the Location of Indirect Left Turn with U-turn at T-type Intersections and Delay
    ZHANG Weihua, CHEN Jingsheng, DONG Ruijuan, TAO Hu
    2018, 37(11): 91-96.  DOI: 10.3969/j.issn.1674-0696.2018.11.15
    Abstract ( )   PDF (490KB) ( )  
    Considering the phenomenon that T-type intersections traffic flow is greatly influenced by the left-turning vehicles, the traffic organization method that left-turning traffic flow of main road adopts U-turn at intersections was proposed to improve the traffic efficiency and driving safety. The applicable conditions and traffic organization method of T-type plane intersections far-leading of left-turning vehicles were analyzed. The relation model between lane volume and operating range of lanes changing was established. The location calculation model about U-turn of far-leading left-turning was constructed by taking minimum average delay of vehicles at intersections as the evaluation index, and the effect of adjacent intersections functional area was also considered. The model covered some parameters of intersections, such as geometric dimensioning and traffic flow. In addition, the delay calculation method of T-type intersections after far-leading and channelization was dissected. The example shows that, under certain conditions, the far-leading of left-turning at T-type intersections can effectively reduce the number of signal phase and average vehicle delay. The feasibility of the above method is verified by traffic simulation.
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    Analysis of Public Bicycle Choice Behavior of Xian Based on the Method of EFA and CFA
    MA Shuhong1, YANG Ye1,WANG Yuanqing1, HAN Sunsheng2
    2018, 37(11): 97-104.  DOI: 10.3969/j.issn.1674-0696.2018.11.16
    Abstract ( )   PDF (521KB) ( )  
    In order to study the influencing factors of xi an public bicycle choice behavior, this study explored the structural relationship of factors influencing the xi an residents public bicycles choice behavior, and verified the rationality of the structure of the factor model based on questionnaire survey data, combining the method of exploratory factor analysis(EFA) and confirmatory factor analysis(CFA). Based on exploratory factor analysis, 38 items affecting the choice behavior were reduced to 32, then common factors were extracted by principal component analysis.The results show that the 7 comprehensive indexes (common factors) reduced from the 32 items can be sorted by importance as follows: the weather and climate> spatial distribution> operation service > travel purpose> residents attribute> cycling road> travel reasons. Based on confirmatory factor analysis, the research proved the rationality of the factor model structure and further determined the main influencing factors of each factor,including “rain”, “the distance between lease point and bus stops or the entrance of metro subway ”, “public bicycle scheduling system”, “going to work or school”, “age”, “road roughness”, “avoiding congestion”. Finally, related suggestions about the influence factors of Xi an public bicycle choice behavior were put forward.
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    Review on Driver s Road Rage
    DENG Yuanchang, JIN Jieling
    2018, 37(11): 105-111.  DOI: 10.3969/j.issn.1674-0696.2018.11.17
    Abstract ( )   PDF (628KB) ( )  
    As an important factor causing traffic accidents, “road rage” is a serious threat to traffic safety. In order to learn more about “road disease”, the definitions, characteristics and research methods of road rage both at home and abroad were summarized, and the preventive measures were put forward after the discussion of the causes for drivers road rage. The study shows that drivers personal factors, the environmental factors and the group factors are the main causes for road rage, and the individual factors and the environmental factors are dominant, road rage can be prevented by improving the road environment, improving laws and regulations, strengthening career driver management and drivers personal adjustment.
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    Research on the Selection and Simulation of Port Co-operation Strateg Based on Evolutionary Game Theory
    LAI Chengshou1, LV Jing1, LI Hui2, GAO Tianhang1
    2018, 37(11): 112-118.  DOI: 10.3969/j.issn.1674-0696.2018.11.18
    Abstract ( )   PDF (444KB) ( )  
    Taking evolutionary game theory and cooperation-competition game theory as the main theoretical instrument, the choice of competition or cooperation of port was studied based on bounded rationality and hypothesis of incomplete information. The bi-level modelofport competition or cooperation model was constructed, and the income distribution of the cooperative alliance was distributed by the shapely value;the parameters such as “income distribution coefficient”, “cooperative cost”, “incremental incremental income” and “default compensation”were introduced into the evolutionary game model which was established to analyze the stability of the equilibrium point of the evolution of the port, and the simulation analysis of the evolution path of the port competition was carried out by MATLAB R2010b. The results show that the evolutionary equilibrium and the evolution path are affected by the initial state selection, the “incremental income of cooperation”, “income distribution coefficient”, “cooperation cost”, “default income” and “default compensation”. Finally, the countermeasures for the stability of port cooperation was put forward so that the cooperation will become the only evolutionary and stable balance to ensure the coordinated development of the port.
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    Vehicle &Electromechanical Engineering
    One Method for Vehicle Driving State Recognition Based on CFD
    PENG Cong1, LIU Qiujin2, YANG Ke3
    2018, 37(11): 119-126.  DOI: 10.3969/j.issn.1674-0696.2018.11.19
    Abstract ( )   PDF (950KB) ( )  
    A new method for the moving safety state recognition based on computational fluid dynamics (CFD) was proposed to make driver assistance system simultaneously suitable for vehicle-road and vehicle-vehicle two traffic conditions. In the driving safety zone enclosed by the lane line and the flow field around the vehicle, two indexes characterizing the vehicle-road safety states, the vehicle location and the time-to-line-collision (TLC), were extracted according to the fitting lane line and the predicted vehicle driving trajectory. Other two indexes characterizing the vehicle-vehicle safety states, the maximums of longitudinal and lateral airflow velocity on the trajectory, were obtained by the offline calculation of typical models and the online real-time retrieval of the database. The safety states characterized by the four indexes of moving vehicles were classified and recognized by the probabilistic neural network (PNN). The results show that this method is effective in recognising vehicle driving states.
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    Multi-objective and Robust Optimization Design of Brake Disc Based on Response Surface Method
    GU Tingting
    2018, 37(11): 127-132.  DOI: 10.3969/j.issn.1674-0696.2018.11.20
    Abstract ( )   PDF (713KB) ( )  
    A multi-objective with robust optimization design method was proposed to satisfy the brake disc design requirements based on response surface method. Finite element model of the brake disc with multiple conditions was established. Taking the brake disc structural parameters and performance as design variables and responses, a Kriging response surface model was developed based on orthogonal design. To maximize cooling factor and minimize brake disc mass, taking other performance indices as constraints, choosing structural dimensional tolerance as noise factor, multi-objective with robust optimization design of brake disc structural parameters was carried out using combination of multi-objective genetic algorithm (MOGA) and Monte Carlo method. The pareto optimal solutions for cooling performance and mass were obtained. The result was verified by finite element simulation and experiment test. The study shows the proposed optimization method is effective and reliable.
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    Analysis of Braking Force Compensation Strategy Based on Coefficient of Friction Identification
    XIAO Pei, LONG Xiang, HU Jian
    2018, 37(11): 133-138.  DOI: 10.3969/j.issn.1674-0696.2018.11.21
    Abstract ( )   PDF (472KB) ( )  
    In order to avoid the resulting wagging tail and other accidents that caused by the low adhesion or variation of the road surface, an online identification module for the tire-road friction can be added to the vehicle to improve the vehicle active safety performance. An online identification module for tire-road friction was designed based on the recursive least squares method. And then differential braking strategies were analyzed based on the tire-road friction. The proposed strategy was validated by Simulink/Carsim co-simulation, and the results show that the modified strategy improves the control accuracy of differential braking and driving stability .
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