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20 February 2022, Volume 41 Issue 02 Previous Issue    Next Issue
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Transportation+Big Data & Artificial Intelligence
Transportation Infrastructure Engineering
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Transportation+Big Data & Artificial Intelligence

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Vulnerability Analysis of Global Container Shipping Network Based on Complex Network ZHANG Xin, SUN Daiyuan 2022, 41(02): 1-7.  DOI: 10.3969/j.issn.1674-0696.2022.02.01 Abstract ( )   PDF (3325KB) ( )   Due to the characteristics of fixed port connection of container liner transportation, the failure of a single port is prone to chain reaction, which will have an impact on the whole shipping network. To study the vulnerability of the global container shipping network, a global container shipping network was constructed according to the route data of the top 10 liner companies in the world. Based on the analysis of the topological structure characteristics of the container shipping network by the complex network theory, the variation conditions of the characteristic parameters of the container shipping network under the two modes of port random failure and deliberate attack were simulated, such as the average degree, agglomeration coefficient, the largest pass subgraph and the average distance. Meanwhile, aimed at Beirut port explosion, the impact of the closure of Beirut port on the global container shipping network was analyzed. The results show that container shipping networks are more vulnerable to deliberate attacks and it is concluded that the explosion in Beirut port has a great impact on the local area of the shipping network. References | Related Articles | Metrics

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Simulation of Container Collection and Distribution System of Port Group Based on Incremental Distribution FENG Xuejun1, FAN Yongjiao2, XU Bo1, LIU Tao3, DING Zhiyi4 2022, 41(02): 8-14.  DOI: 10.3969/j.issn.1674-0696.2022.02.02 Abstract ( )   PDF (2155KB) ( )   The traffic assignment theory has been applied to the container collection and distribution system of port group. Taking the minimum generalized logistics cost as the objective function, considering the reloading and connection between different modes of transportation, the traffic assignment model of collection and distribution system for the port group was constructed and solved by incremental allocation method and Dijkstra algorithm simulation. The container collection and distribution system of port group in Shandong Province was taken as an example. The research shows that when less than 70% of the total collection and distribution volume is allocated to the existing transportation network, the transportation cost rises slowly; starting from the distribution of 80% of the total amount, the regional transportation cost increases sharply; the existing transportation network has been overloaded until the allocation reached 100%. Increasing the container traffic volume of Delong-Yan Railway (under construction) or building a new “Central Railway” can effectively reduce the total container logistics cost of the port group, reaching 2.24% and 4.18% respectively. If the two railways operate simultaneously, the total logistics cost can be significantly reduced by 11.69%. References | Related Articles | Metrics

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Port Container Throughput Forecasting Method Based on Random Forest Algorithm XIE Xinlian1, WANG Yukuan1,2, XU Xiaowei1, MA Hao1 2022, 41(02): 15-20.  DOI: 10.3969/j.issn.1674-0696.2022.02.03 Abstract ( )   PDF (1285KB) ( )   In order to help the construction of smart port, aiming at the problem of insufficient accuracy of port container throughput prediction, a port container throughput prediction method was constructed by using random forest algorithm to deal with high-dimensional variables. Firstly, considering that the port container throughput was affected by complex environment, the characteristic variable training set was established. Then, the random forest model was trained by generalized error analysis, and the importance of characteristic variables was analyzed according to MDA analysis to screen the set of important influence characteristic variables. Finally, the decision tree of random forest prediction was constructed, and the prediction model based on random forest algorithm was established. Dalian Port was taken as a case to verify, and compared with three kinds of prediction methods such as cubic exponential smoothing, multiple regression analysis and BP neural network. The results show that the proposed random forest algorithm has higher prediction accuracy. References | Related Articles | Metrics

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Railway Bulk Cargo Transport Network Structure and Flow Spatial Pattern in Yunnan Province JI Xiaofeng1,2, KONG Lingshuai1,2, CHEN Fang2,3 2022, 41(02): 21-29.  DOI: 10.3969/j.issn.1674-0696.2022.02.04 Abstract ( )   PDF (7558KB) ( )   Railway bulk cargo transportation plays an important role in guaranteeing the strategic material circulation. Analyzing the structure and flow space pattern of railway bulk cargo transportation network can provide theoretical basis for industrial planning and logistics organization. Firstly, the railway bulk cargo transportation network model of Yunnan Province was constructed based on the complex network theory, by using railway cargo arrival and sending data; and the structural characteristics of the railway bulk cargo transportation network were extracted. The spatial analysis method was used to obtain the rail bulk transportation connection strength and flow pattern. The results indicate that: ①The density of railway bulk cargo transportation network in Yunnan Province is 0.05, and the average clustering coefficient is 0.308. The railway bulk cargo transportation network has significant characteristics of small world network. Railway bulk freight nodes obey the power rate distribution, show obvious cluster effect, and have the characteristics of scale-free network. Kunming, Qujing and Chuxiong have a high level of overall centrality, close cargo exchange between nodes and absolute dominance over the circulation of bulk goods. ②The overall freight scale of Yunnan railway bulk cargoes has significant spatial differences, and the freight transportation level of each node is seriously polarized, forming a freight network core with Kunming and Qujing as the main nodes, and bulk freight has high agglomeration. ③The Yunnan railway bulk freight network presents a spatial transportation connection pattern of “center-hinterland”, and the geographical proximity effect of freight connection is significant. It depends on the connection with the core node, which has a certain impact on the inter-provincial freight network structure. ④The Yunnan railway bulk freight network has obvious hub and spoke characteristics. There are great differences in the circulation scale and transportation accessibility of bulk goods at different nodes. The flow direction of goods also shows that the attraction and radiation force of the nodes are heterogeneous. References | Related Articles | Metrics

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Prediction Model of Effective Parking Space Based on Deep Learning WEN Haoyu1, ZHAO Lingjun1, WANG Fan2, YU Jiangxia1 2022, 41(02): 30-34.  DOI: 10.3969/j.issn.1674-0696.2022.02.05 Abstract ( )   PDF (2176KB) ( )   Aiming at the problem that the traditional effective parking space prediction method could not describe the time correlation before and after the parking, LSTM neural network based on deep learning was given to improve traditional prediction methods, and a prediction model of effective parking space based on LSTM was proposed to analyze and predict different types of parking areas. Based on the established model, the temporal and spatial characteristics of effective parking space prediction were comprehensively considered, the historical parking data of multiple adjacent parking lots in the target area were selected to form a data set. The comparison model of effective parking space prediction was constructed to test the prediction accuracy of the model. The results show that in the prediction of effective parking spaces in different types of parking areas, the prediction results of the proposed model are in good agreement with the real value, and its prediction accuracy is higher than that of BP prediction model and ARIMA prediction model. It is indicated that the proposed model is reliable and effective in the effective parking space prediction. References | Related Articles | Metrics

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Cooperative Control of Variable Speed Limit and Lane Change in Expressway Confluence Area LI Qiaoru, WANG Shaohang, CHEN Liang 2022, 41(02): 35-43.  DOI: 10.3969/j.issn.1674-0696.2022.02.06 Abstract ( )   PDF (2827KB) ( )   Aiming at the problems of reduced traffic efficiency, increased vehicle delay and reduced overall service level in expressway confluence area, an optimization model of vehicle flow density in expressway confluence area based on variable speed limit (VSL) and lane change control was proposed. Firstly, lane change control provided lane change suggestions for connected vehicles by predicting bottleneck capacity and traffic demand, to optimize the traffic flow density of upstream of the merging area and reduce the impact of the decline of bottleneck capacity. Secondly, the VSL before correction was determined based on the bottleneck capacity of the merging area under lane change control and the traffic flow density of the ramp. Thirdly, the feedback VSL control based on cell transmission model was used to the upstream flow of traffic bottleneck in real time to ensure that the density of lane changing area converged to the optimal equilibrium point, and the modified VSL was obtained. Finally, the cell transmission model was selected as the basic traffic flow model. For the lane change control in the confluence area, the meso multi-lane cell transmission model was adopted to simulate the lane change behavior of the main line in the confluence area and the impact of lane change control on the traffic flow operation in the confluence area. The simulation results show that compared with no control scheme and VSL control scheme, the average travel time of collaborative control is reduced by 58.55% and 35.68% respectively, and the average flow is increased by 9.09% and 2.35% respectively. Collaborative control has significantly improved traffic efficiency and traffic safety. References | Related Articles | Metrics

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Traffic Flow Influence of Driving Behavior of Left-Turning Vehicles at Unsignalized T-Intersection ZOU Changfeng, LIU Tianyang, HU Baoyu 2022, 41(02): 44-51.  DOI: 10.3969/j.issn.1674-0696.2022.02.07 Abstract ( )   PDF (3406KB) ( )   In order to study the influence of left-turning vehicle driving behavior on the main road of unsignalized T-intersection on the traffic flow of the intersection, a cellular automaton model of unsignalized T-intersection traffic flow was established. Under open boundary conditions, the influence of different left-turning vehicle driving behaviors on vehicle average conflict frequency and delay at intersections were studied. The research shows that the driving behavior of left-turning vehicles is closely related to vehicle average conflict frequency and delay at intersections. Under the condition of conservative driving behavior, there is no vehicle conflict at the intersection, but the average delay of vehicles at the intersection will be higher, compared with the steady driving behavior and adventurous driving behavior. For steady and adventurous driving behaviors, in terms of vehicle conflicts at intersections, adventurous driving behaviors will cause more vehicle conflicts at intersections. In terms of the vehicle average delay of intersection, when the left-turning traffic flow is low, the vehicle average delay of intersection under adventure driving behavior is higher. With the increase of left-turning traffic flow, the vehicle average delay of intersection under adventure driving behavior is gradually lower than that under steady driving behavior. References | Related Articles | Metrics

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Capacity Evaluation and Application in Urban Expressway Tunnel Section under Lane-Reduction Condition FU Chenghong1, GAO Liangpeng1, ZHONG Ying2, XIE Libin2, TU Rui2 2022, 41(02): 52-57.  DOI: 10.3969/j.issn.1674-0696.2022.02.08 Abstract ( )   PDF (3746KB) ( )   The expressway system is an important part of the main framework of urban road network. Whether its main channel can be brought into full play is often subject to the traffic capacity of bottleneck sections. Under the condition of lane-reduction in expressway tunnel section, starting with the analysis of the road conditions of the tunnel section, the temporal and spatial distribution characteristics of traffic flow were extracted from the traffic detection big data. Then, the Greenshields traffic flow model and lane calibration model were selected. The traffic capacity difference of each lane between the tunnel section and the adjacent ordinary section was compared, the expected capacity and operating capacity of each lane in the tunnel section was evaluated. The traffic capacity difference between the two modes of gradual narrowing and signal controlling were compared. A signal control improvement scheme considering traffic volume maximization and right of way fairness was proposed. It is verified that lane capacity decays from inside to outside; the operating capacity is lower than the designed capacity. The proposed signal control improvement scheme can increase the traffic capacity by 3.4%. References | Related Articles | Metrics

Transportation Infrastructure Engineering

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SMFL Signal Analysis of Steel Bar Tensile Failure Test under Repeated Load QU Yinghao1, ZHOU Jianting1, ZHAO Ruiqiang2, ZHANG Hong1, LIU Shangkai1 2022, 41(02): 58-64.  DOI: 10.3969/j.issn.1674-0696.2022.02.09 Abstract ( )   PDF (5867KB) ( )   In order to study the change rule of the rebar self-magnetic-flux-leakage (SMFL) signal under the repeated load, a modified Jiles-Atherton model was proposed based on the consideration of the internal friction effect of the repeated load. The influence of repeated load on the law of SMFL signal was studied through the monitoring experiment of steel bar SMFL signal in tensile process. The results show that after repeated loading and unloading, the initial SMFL signal will lose, but eventually tends to 0, and the relationship between SMFL signal and force tends to be stable. The SMFL curves in the elastic phase are affected by the maximum value of repeated loads (Fc), and the variation law and boundary characteristics of SMFL signal in yield stage, strengthening stage and necking stage are not affected. The first and second peaks of the SMFL corresponding to the first derivative can effectively determine the current stress state of the steel bar. References | Related Articles | Metrics

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Application of Optimized Fractional Order GM (1,1) Model in Bridge Alignment Control HONG Xiaojiang1, ZHANG Xuesong2, GUO Ning1, LI Hongming3 2022, 41(02): 65-70.  DOI: 10.3969/j.issn.1674-0696.2022.02.10 Abstract ( )   PDF (1197KB) ( )   In order to solve the problems of over fitting and low prediction accuracy in the traditional grey prediction model for long-span rigid frame bridge camber prediction, the fractional order operator GM (1,1) model was introduced in long-span bridge camber prediction. And a new fractional order GM (1,1) model based on Newton quadratic interpolation was established, which realized the dual optimization of the order and background value of the traditional GM (1,1) model. To test the performance of the proposed model, the proposed model was compared with the traditional GM (1,1) model and fractional order GM (1,1) model. The example shows that the average relative error of the optimized fractional order GM (1,1) is 3.1%, which is reduced by 9% compared with the traditional GM (1,1), and the prediction accuracy is further improved. The new model has certain practicability and higher precision, and has a certain reference value for the construction control of the same type of bridge. References | Related Articles | Metrics

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Concrete Beam Stress Test Based on Grooving Method YAN Yanhong, SUN Yunguo, HE Lizhong, ZHENG Liansheng 2022, 41(02): 71-75.  DOI: 10.3969/j.issn.1674-0696.2022.02.11 Abstract ( )   PDF (4831KB) ( )   The testing technology of parallel grooving method to test the existing stress of concrete was studied. The influence of different initial stress, cutting mode, cutting depth and other parameters on the stress release efficiency were theoretically simulated and analyzed, and the specimen test experiments were carried out. Through the loading test of the removed 20 m post tensioned prestressed concrete slab beam, the existing prestressed condition of the member was measured. The stress release test of grooving method was carried out to obtain the surface compressive stress test value of grooving method. The research results show that: through the grooving method to test the surface stress of concrete members, when the cutting depth reaches 1/3 of the groove spacing, the normal stress on the member surface can be released, and the maximum normal stress release test value of the solid beam members can reach about 80% of the actual normal stress value. References | Related Articles | Metrics

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Impact Effect of Vehicle Bumping at Bridgehead on Pavement Structure LI Yuhua 2022, 41(02): 76-83.  DOI: 10.3969/j.issn.1674-0696.2022.02.12 Abstract ( )   PDF (6936KB) ( )   The impact effect of vehicle bumping at bridgehead on pavement structure of road bridge transition section was studied based on vehicle-road coupling models. The impact effect considering vehicle-road coupling on pavement was analyzed. The variation laws of vehicle impact coefficient and pavement vibration response changing with pavement elastic modulus and subgrade response modulus were studied, and the road design suggestions for road bridge transition section were put forward. The results show that: the vehicle impact coefficients and the effective influence scopes are reduced when vehicle-road coupling is considered; the pavement elastic modulus and subgrade response modulus have little influence on vehicle impact coefficients but have a great influence on pavement vibration response; the dynamic response should be considered in the design of road bridge transition section. It is dangerous to use the vehicle impact coefficient as the amplification factor of standard axle load, and it is recommended to use the pavement dynamic response coefficient. From the point view of controlling pavement vibration, the flexible pavement should be selected for the transition section of road and bridge, and meanwhile, the subgrade response modulus shall exceed 200 MPa/m. References | Related Articles | Metrics

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Influence Analysis of Shield Construction Parameters Controlling on Ground Settlement in Sandy Pebble Stratum Based on Grey Theory WEI Shengda1, LIU Danna1, PENG Xin1, LYU Yan2, WANG Wei3 2022, 41(02): 84-94.  DOI: 10.3969/j.issn.1674-0696.2022.02.13 Abstract ( )   PDF (3220KB) ( )   In order to reveal the sensitivity of ground settlement to different shield construction parameters, taking the shield tunnel between Laifeng Road station and Fengxi station of Chengdu metro line 17 as an example, the measured data of 9 control parameters, such as total thrust, cutter head torque and synchronous grouting pressure were analyzed by using grey theory. The research results show that the three most important factors affecting the sensitivity of ground settlement to shield construction parameters are propulsion speed, grouting pressure or grouting amount and screw machine speed in order. When shield construction is carried out in the water rich sandy pebble stratum in Chengdu area, the control range of total thrust of shield is between 19000~41000 kN, the control range of cutter head torque is between 2 000~23 000 kN·m, and the synchronous grouting pressure is between 1~3 bar. The proposed grey correlation analysis model objectively and accurately reflects the relationship between the control of shield construction parameters in water rich sandy pebble stratum and the ground settlement. References | Related Articles | Metrics

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Mechanical Analysis of Minimum Overburden Thickness of Hydraulic Tunnel under Multiple Factors YANG Ziyou, CHENG Changqing, SUN Tianyu, YU Fan, YANG Ming 2022, 41(02): 95-101.  DOI: 10.3969/j.issn.1674-0696.2022.02.14 Abstract ( )   PDF (1366KB) ( )   Considering the influence of intermediate principal stress coefficient n, seepage body force pw and dilatancy coefficient β, the analytical solutions of radial stress σr and circumferential stress σθ of circular hydraulic tunnel were obtained by unified strength theory and D-P criterion according to the continuous conditions of stress and displacement. The plastic zone radius r and the minimum overburden thickness h of tunnel surrounding rock were deduced. And the influences of permeability coefficient kd/kc, dilatancy coefficient β, rock strength parameters c and φ，and intermediate principal stress coefficient n on the minimum overburden thickness h were analyzed. The results show that when kd/kc is equal or less than 500, h is small; when kd/kc is greater than 500, h tends to be a certain value; and when the seepage is not considered, h is increased by about 94%. The c and φ value have obvious influence on h. Using the unified strength theory, h increases with the increase of n, while using the D-P criterion, h fluctuates, showing the interval of intermediate principal stress. The minimum overburden thickness h calculated by the two kinds of strength criteria increases with the increase of dilatancy coefficient β. References | Related Articles | Metrics

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Motion Response Characteristics for Three Bucket Foundations Based on MOSES LIU Xianqing1, LUO Sheng2, ZHAO Mingjie1, LE Conghuan3 2022, 41(02): 102-108.  DOI: 10.3969/j.issn.1674-0696.2022.02.15 Abstract ( )   PDF (4564KB) ( )   Bucket foundation is one of the main patterns of foundation for development of offshore energy in recent years. The numerical analysis models for three bucket foundations (TBF) were established by the hydrodynamic analysis software MOSES. The hydrodynamic coefficients and amplitude-frequency responses characteristics with different drafts, water depths and arrangements of bucket position were studied. The results show that: the influence of draft and bucket spacing on hydrodynamic coefficients and motion responses is significantly greater than that on water depth. The reasonable arrangement of bucket foundation in design and adjustment of draft during construction can ensure good motion response characteristics. References | Related Articles | Metrics

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Rheological Properties of Nano Materials Compounded Rubber Powder Modified Asphalt under Different Aging Conditions MA Qingwei1, 2, LI Yan2, QIU Yeji2, YANG Chenguang2 2022, 41(02): 109-115.  DOI: 10.3969/j.issn.1674-0696.2022.02.16 Abstract ( )   PDF (2616KB) ( )   Through three kinds of aging methods such as short-term aging (RTFOT), long-term aging (PAV) and ultraviolet aging (UV), the high and low temperature rheological properties of Nano-SiO2, Nano-TiO2 and Nano-ZnO modified asphalt and the compounded rubber powder modified asphalt were studied under different aging conditions by multiple stress creep recovery (MSCR) and bending beam rheological (BBR) test. At last, the glass transition temperature of nano material compounded rubber powder modified asphalt was analyzed by DMA test. The results show that the high and low temperature rheological properties and anti-aging properties of asphalt modified by nano material composite rubber powder are better than those modified by SBS. After RTFOT, PAV and UV aging, among the three kinds of nano materials compounded rubber powder modified asphalt, the Nano-TiO2/rubber compounding scheme has the smallest changes in irrecoverable creep compliance, stiffness modulus and glass transition temperature (Tgc and Tgs), and it has stronger UV aging resistance and thermal oxidation resistance. The glass transition temperature Tgc and Tgs of asphalt under different aging conditions are linearly correlated with stiffness modulus. The correlation between the glass transition temperature Tgs obtained by the damage curve and the stiffness modulus is better. Tgs can more effectively evaluate the low temperature performance of nano materials compounded rubber powder modified asphalt under different aging conditions. References | Related Articles | Metrics

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Investigation on the Anti-skid Property of Asphalt Mixture Based on Calcined Bauxite Aggregate ZONG Youjie1, XIONG Rui1, LYU Hongli2, MENG Jiandang2, LI Chuang1 2022, 41(02): 116-123.  DOI: 10.3969/j.issn.1674-0696.2022.02.17 Abstract ( )   PDF (9487KB) ( )   In order to effectively improve the anti-skid property of asphalt pavement, the high anti-skid aggregate — 88# calcined bauxite and the differential polishing principle was introduced. With the self-developed three-wheel polishing apparatus, dynamic friction coefficient tester (DFT) and pendulum friction coefficient tester, the anti-skid properties of asphalt mixture mixed with high and low polishing value aggregates were investigated. The optimization scheme of the material composition for high anti-skid asphalt mixture was proposed and the relationship model between dynamic friction coefficient (DF) and vehicle speeds with different polishing times was established. The mechanism of differential polishing was analyzed from the aggregate level. The research results show that mixing a certain proportion of 88# calcined bauxite and limestone mineral aggregate, the surface of asphalt mixture has significant differential polishing effect, and the anti-sliding performance is improved. The proposed model can well reflect the relationship among friction coefficient, polishing times and vehicle speeds. The reasonable proportion of 88# calcined bauxite aggregate is 25%~50% of the mineral mass of asphalt mixture. The research results provide a new idea for the improvement and durability of anti-skid performance for asphalt pavement. References | Related Articles | Metrics

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Road Performance of Emulsified Asphalt Cold Recycling Mixture with BFS YANG Lian1, XU Zhoucong2, ZHOU Haonan2, WANG Quanlei2, WANG Huoming2, JIANG Wenpeng3 2022, 41(02): 124-130.  DOI: 10.3969/j.issn.1674-0696.2022.02.18 Abstract ( )   PDF (1950KB) ( )   In order to verify the technical feasibility of adding blast furnace slag (BFS) into the cold recycling mixture of emulsified asphalt and the influence of adding BFS on the road performance of the cold recycling mixture of emulsified asphalt, two schemes of directly adding blast furnace slag and adding blast furnace slag with slaked lime as the activator were adopted and compared with the cold recycling technical scheme of adding 1.5% cement. By testing the performance indexes such as dry and wet splitting strength, freeze-thaw splitting strength, 60 ℃ dynamic stability, 60 ℃ shear strength and uniaxial compression, the reasonable utilization mode of blast furnace slag powder for emulsified asphalt cold recycled mixture was finally determined. The research shows that the dry and wet splitting strength test cannot effectively reflect the difference of water stability of cold recycled emulsified asphalt mixture, and the freeze-thaw splitting strength test is a more reasonable and effective means to evaluate its water stability. In addition, using blast furnace slag powder to replace cement directly in emulsified asphalt cold recycling mixture will reduce the water stability of the mixture, and using 1.5% blast furnace slag powder + 0.3% slaked lime activator can make the mixture have basically the same road performance as adding 1.5% cement, which shows that adding blast furnace slag + slaked lime to emulsified asphalt cold recycling mixture is feasible in technology, and the mixing method is 1.5% blast furnace slag powder + 0.3% slaked lime. References | Related Articles | Metrics

Transportation Equipment

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Structural Optimization of a New Bogie Frame with Wide Track Width Based on Sensitivity DU Zixue1, WANG Ao2, YANG Zhen1 2022, 41(02): 131-136.  DOI: 10.3969/j.issn.1674-0696.2022.02.19 Abstract ( )   PDF (8135KB) ( )   Aiming at the problems of insufficient stiffness and low modal frequency of the frame end beam of the new wide-track straddle type monorail bogie, a finite element model of the frame was established and the sensitivity analysis of free/constrained modes was carried out. Two optimization schemes of adding weight-reducing holes and using aluminum alloy materials in the end beams were carried out, free/constrained modal sensitivity analysis was carried out; finally, the static strength and fatigue strength analysis of the optimized frame end beams were carried out. The results show that: under the static strength condition, the maximum stress of the optimized frame end beam is located on the frame gear box, and is less than the yield strength of the material; under the fatigue strength condition, compared with the original frame end beam, the optimized dangerous node cycle times are less, but still meet the engineering requirements. References | Related Articles | Metrics

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Fuzzy Control Strategy for Extended Range Electric Vehicle Based on Global Optimization Algorithm NIU Limin1, ZHANG Quanquan1，ZHU Fentian1，ZHONG Faxin1，ZHENG Feiyu2 2022, 41(02): 137-145.  DOI: 10.3969/j.issn.1674-0696.2022.02.20 Abstract ( )   PDF (5932KB) ( )   Aiming at the problems of single rule base formulation and low coordination between power system and control strategy parameters in traditional fuzzy control, a fuzzy control strategy of extended-range electric vehicle based on global optimization algorithm was proposed. According to the optimal efficiency curve of the extender, the multi-energy distribution rules of dynamic programming algorithm under different demands and power parts state were analyzed and extracted and combined with traditional engineering experience as the basis for the formulation of fuzzy control rule base. With fuel economy as the optimization goal, particle swarm optimization algorithm was used to optimize the vehicle power components and membership parameters to obtain globally optimized EREV energy distribution. Finally, the fuzzy control strategy model of the whole vehicle was established in MATLAB/Simulink and embedded in ADVISOR for simulation and hardware in the loop test. The results show that the proposed control strategy is suitable for a variety of operating conditions. Compared with the original vehicle power following control strategy, it can control the SOC of the power battery within a reasonable range and improve the fuel economy of the vehicle. References | Related Articles | Metrics

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Numerical Analysis and Application of Large Section Hoisting of Yangtze River Cruise Ship YANG Jingdong1, YUE Xinlin1, GU Lei2, CHEN Maoqiao2 2022, 41(02): 146-152.  DOI: 10.3969/j.issn.1674-0696.2022.02.21 Abstract ( )   PDF (24728KB) ( )   In view of the problem that the hoisting scheme in the construction process of inland ships depends on field experience and lacks of theoretical data support, two different hoisting implementation schemes of total hoisting reinforcement and sub section hoisting reinforcement were proposed. According to the actual construction data, the subsection model of ship large superstructure was established by using the finite element software, and the load distribution characteristics and relevant safety requirements during hoisting were determined by using mechanical theory and referring to relevant literature. Finally, the hoisting process under different schemes was simulated and calculated. The simulation results show that although the total section hoisting scheme can save hoisting time, it has higher requirements for the strength of section structure, higher requirements for hoisting tools on the construction site and greater potential safety hazards. Although the sub segment hoisting scheme requires multiple hoisting, it has lower requirements for on-site hoisting tools, and the hoisting scheme is more flexible and more suitable for the needs of inland ship builders at this stage. Construction example feedback also confirms that the use of sub segment hoisting scheme can greatly eliminate the safety hazards in the hoisting process and has certain advantages in improving the construction quality. References | Related Articles | Metrics