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中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

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    Intelligent Traffic Infrastructure
    Literature review of the carbon footprint of geosynthetics based on life cycle assessment
    Xu Chao1,2, Liu Xiaoxiao1, Yang Yang1,2, Meng Ya1
    2026, 45(9): 1-13.  DOI: 10.3969/j.issn.1674-0696.2026.09.01
    Abstract ( )   PDF (2005KB) ( )  
    eosynthetics, due to their advantages such as lightweight and multifunctionality, have become an important alternative material for reducing carbon emissions in civil engineering. Based on the life cycle assessment method, the research progress on the carbon footprint of geosynthetics was systematically reviewed from both product and project levels. Existing studies indicate that, at the product level, a cradle-to-gate boundary is typically adopted, with per unit area or mass as the functional unit, and the carbon footprint is mainly concentrated in the raw material acquisition and manufacturing stages, where the contribution of polymer raw materials can reach 60% ~ 96%. At the project level, a cradle-to-completion or cradle-to-grave boundary is mostly adopted, with per unit length or area of the project as the functional unit. The carbon footprint is highly sensitive to transportation conditions. The production stage is often the main emission source, but under scenarios of long-distance transportation or large-scale earthwork construction, emissions from transportation and construction stages may become major sources. In engineering applications, geosynthetics achieve significant carbon emission reductions through pathways such as substituting high-carbon building materials, reducing transportation and construction activities as well as promoting ecological carbon sequestration. The emission reduction effect is significantly influenced by factors such as transportation conditions, material configuration, benchmark schemes, and service scenarios. Current research still faces challenges such as a lack of localized data, inconsistent functional units, imperfect recycling allocation rules, and insufficient coupling between service performance and carbon emissions. Future efforts should focus on developing localized embodied carbon databases and environmental product declaration systems, establishing a standardized evaluation framework for engineering functions, and incorporating durability and reliability into life cycle assessment, so as to further support material selection and scheme optimization for low-carbon geotechnical engineering.
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    Control of solar radiation temperature effect on steel structures based on different coating
    Tao Youhai1, Lu Junxiong2, Zhu Jinsong2, Hua Longhai3, Song Guangjun3, Xiang Jinghui3, Zhang Ying1
    2026, 45(9): 14-23.  DOI: 10.3969/j.issn.1674-0696.2026.09.02
    Abstract ( )   PDF (4188KB) ( )  
    During the construction stage, the large-segment steel arch rib is subjected to solar radiation, generating a non-uniform temperature field, which causes deformation of the closure section and makes closure process difficult. A thermal control method using coatings with different thermal properties in different zones was proposed to reduce the temperature difference and deformation. This method accurately simulated the three-dimensional temperature field under solar radiation by finite element software. And an area dividing method for the surface of bridges was proposed, and secondary development of the ABAQUS post-processing was conducted using the Python language to clarify the evaluation indicators and ultimately determine the optimized coating scheme for the arch ribs. The ABAQUS-FILM/DFLUX subroutine was used to simulate the three-dimensional temperature field over 24 hours, and the bridge surface was divided into 54 zones based on the angle of the surface normal vectors. Through the Python secondary development, a linear mapping between temperature data and coating radiation absorption rate was realized. It is concluded that at the most unfavorable moment, the partition range is decreased from 17.9 ℃ to 9.7 ℃, the standard deviation is decreased by 50.5%, and the maximum displacement of the closure section is reduced from 26 cm to 7.7 cm. The zonal coating strategy significantly mitigates the inhomogeneous temperature effect under solar radiation and provides technical support for the lifting of large-span sections without closure segments.
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    Probabilistic finite element model updating method of cable-stayed bridges based on Bayesian flow
    Liu Xun1,2, Lin Xuechun3, Zhuo Weidong2, Zheng Haofeng4, Gu Yin2
    2026, 45(9): 24-32.  DOI: 10.3969/j.issn.1674-0696.2026.09.03
    Abstract ( )   PDF (7569KB) ( )  
    To achieve efficient and accurate probabilistic finite element model updating (PFEMU) of cable-stayed bridges, a PFEMU method of cable-stayed bridges based on Bayesian flow was proposed. Firstly, in the proposed method, Bayesian flow was adopted to establish a reversible mapping between the simulated measurement data of the FEM and the model updating parameters. Secondly, based on the actual measurement data of the bridge, the posterior distribution of the model updating parameters was inferred through Bayesian flow, thereby realizing the PFEM of the bridge. The proposed method provided an “offline training and online inference” framework for the PFEMU of a bridge. Once the training was completed, the Bayesian flow model could quickly infer the posterior distribution of the updating parameters in near real time based on new measurement data. The proposed method was applied to the FEMU of an in-service long-span cable-stayed bridge, and the results were compared with those obtained from the bridge completion load test. The results show that after model updating, the average relative errors of the calculated cable forces under dead load and modal frequencies are only 1.38% and 1.90% respectively. Compared with the results of the initial FEM, the relative error of the mid-span deflection increment of the main girder under test vehicle load calculated by the updated model is reduced from 10.37% to 1.08%, and the relative error of the maximum cable force increment is reduced from 18.98% to 5.95%. The effectiveness of the proposed method has been verified through engineering examples.
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    Missing data recovery method for bridge health monitoring based on PSR-GA-LSTM
    Xiang Chenglong1,2, Ran Guangming3, Zhou Chaoying4, Wu Bo4
    2026, 45(9): 33-39.  DOI: 10.3969/j.issn.1674-0696.2026.09.04
    Abstract ( )   PDF (2059KB) ( )  
    In bridge health monitoring systems, accurate and reliable monitoring data is the foundation for understanding structural conditions. However, it is difficult to obtain reliable monitoring data due to data gaps and distortions caused by sensor failures, as well as interference from environmental noise and instrument errors. To address this issue, a bridge monitoring data recovery method based on the integration of phase space reconstruction (PSR), genetic algorithms (GA) and long short-term memory neural networks (LSTM) was proposed. Specifically, PSR was first employed to reconstruct the raw signal into a high-dimensional phase space. Subsequently, GA was adopted to optimize key parameters of the LSTM network, and the network was trained to learn the temporal dependencies of the reconstructed data. Based on this, the LSTM network, equipped with a gating mechanism to capture long-term temporal dependencies of bridge monitoring data, generated complete data restoration results. An empirical study based on acceleration data from a bridge health monitoring system validated the effectiveness of the proposed method. Results demonstrate that the proposed method significantly outperforms other benchmark approaches in data recovery performance. Compared to traditional LSTM models, the proposed method reduces ERMS by about 57.7%, validating the practicality and effectiveness of this hybrid approach for missing data recovery in bridge health monitoring field.
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    Damage mechanism of porous asphalt mixtures under the action of freeze-thaw cycles
    Ma Feng1, Sheng Hanchi1, Huang Ruizhe1, Zhang Jing2,3, Fu Zhen4, Zhu Chongxin1
    2026, 45(9): 40-47.  DOI: 10.3969/j.issn.1674-0696.2026.09.05
    Abstract ( )   PDF (6260KB) ( )  
    To reveal the freeze-thaw (F-T) damage mechanism of porous asphalt mixtures (PAMs) in cold regions, Fourier transform infrared (FTIR) spectroscopy was used to analyze the chemical composition changes of high-viscosity asphalt before and after freeze-thaw cycles. Pull-out tests were carried out to evaluate the mechanical degradation of the asphalt-aggregate interface. And combined with super depth microscopy and direct observation method, the macroscopic and microscopic morphology evolution of materials were characterized. The research results show that F-T cycling significantly intensifies water-oxygen coupling process of asphalt, causing the continuous accumulation of characteristic functional groups such as hydroxyl, carbonyl and sulfoxide groups, which leads to asphalt oxidation aging. The F-T cycling effect causes continuous attenuation of the adhesion force of asphalt-aggregate interface, and the failure mode develops from cohesive failure to detachment failure. Macro-micro analysis shows that F-T cycling induces asphalt hardening and deterioration and forms ice crystal residues on the surface of the mixture, weakening overall performance. With increasing F-T cycles, PAMs gradually experience detachment, crack development and skeleton structure damage, resulting in a decrease in mechanical properties. By analyzing the characteristics of the damage stages, the three-stage evolution mechanism of freeze-thaw damage development is revealed, and its main control indicators are determined. The research results can provide reference for the identification of freeze-thaw damage stages and the design of frost resistance durability of PAMs.
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    Synergistic effect of carbonation-hydration of cement paste based on reactive transport model
    Li Kai, Gu Wenlong
    2026, 45(9): 48-59.  DOI: 10.3969/j.issn.1674-0696.2026.09.06
    Abstract ( )   PDF (6063KB) ( )  
    During carbon mineralization process, carbonation reaction and hydration reaction jointly determine the overall process and efficiency. In order to reveal the synergistic mechanism of carbonation and hydration reactions of cement paste, a reactive transport model suitable for the study of carbon mineralization of cement paste was constructed by considering chemical reaction kinetics procedure, CO2 transport and water migration behavior. Based on the comparison and verification with experimental results, the effects of water saturation on CO2 absorption rate and pre-curing time on reactant phase distribution and reaction kinetics were studied accordingly. The research results show that the CO2 absorption rate reaches its maximum value when initial water saturation degree is set to 0.70-0.80. As pre-curing time gradually goes up, the reaction proportion of cement clinker decreases, while the reaction proportion of hydration products increases. The generated CaCO3 content shows a trend of first increasing and then decreasing, and the calcium ions mainly come from C3S and CH. Meanwhile, the process of carbon mineralization has also shifted from being controlled by the diffusion of CO2 in water to being controlled by the amount of available calcium ions in the system.
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    Influence of low pressure on air voids and pore structure of air-entrained concrete
    Liu Shanli1, Ma Wentai1, Lu Qianyi1, Wang Menghao1, Jiang Chaohua2
    2026, 45(9): 60-65.  DOI: 10.3969/j.issn.1674-0696.2026.09.07
    Abstract ( )   PDF (3715KB) ( )  
    Based on field exposure experiments conducted in Nanjing (101.2 kPa) and Lhasa (65.3 kPa), the effect of different air contents (3%, 5%, and 7%) on air voids and pore structures of air-entrained concrete under low-pressure environment was studied by air voids parameter test and nuclear magnetic resonance (NMR) techniques. The results show that low pressure significantly deteriorates the air-void structure of air-entrained concrete, primarily manifested by a decrease in the proportion of air voids smaller than 200 μm and an increase in the proportion of those larger than or equal to 200 μm, and the degree of change intensifies as the concrete air content increases. Compared with normal atmospheric pressure conditions, the porosity of three types of air-entrained concrete cast under low-pressure conditions decreases by 8.3%, 9.0%, and 22.1%, respectively, with high air content being most affected by low-pressure conditions. In low-pressure environment, even when the concrete air content is increased by adding a higher dosage of air-entraining agent, the air-void structure parameters still deteriorate, characterized by a reduction in the specific surface area of air voids, an increase in average diameter, and a decrease in the number of air voids, ultimately causing an increase in the pore spacing coefficient. The total porosity of air-entrained concrete cast under both low and normal atmospheric pressures rises as the air content increases. Concrete cast under low pressure conditions contains more capillary pores larger than 200 nm, thereby increasing the total porosity.
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    Experimental research on fatigue performance of flexible fiber-reinforced concrete
    Yi Zhijian1, Zhang Tuo1, Li Ya1, Gu Jianyi1, Dong Mingsi2
    2026, 45(9): 66-71.  DOI: 10.3969/j.issn.1674-0696.2026.09.08
    Abstract ( )   PDF (881KB) ( )  
    In response to the reality of fine grading of stress levels, large number of specimens, long test cycles, and high costs in fatigue testing, as well as the lack of fatigue system test data for flexible fiber reinforced concrete (FFRC), static flexural tests and flexural fatigue tests on FFRC with a volume fraction of 0.15% and on plain concrete was respectively conducted, and fatigue equations were obtained through regression analysis. The experimental results show that at stress levels of 0.75 and 0.65, the relative fatigue life of FFRC reaches 7.53 and 29.6 times that of plain concrete, respectively, and the improvement in fatigue life is particularly significant at the 0.65 stress level. The fatigue equations show that if the failure probabilities are 0.1, 0.3 and 0.5 respectively, and the fatigue lives are 2 million times, 1.5 million times and 1 million times respectively, the stress levels corresponding to the fatigue strength of FFRC are 0.564, 0.569 and 0.575, 0.557, 0.564 and 0.574, as well as 0.556, 0.566 and 0.580, respectively. While the stress levels corresponding to the fatigue strength of ordinary concrete are 0.539, 0.544 and 0.550, 0.555and 0.563, as well as 0.537, 0.544 and 0.554, respectively. Therefore, the fatigue strength of FFRC is significantly improved. The research results can provide a basis for the theoretical design and engineering application of FFRC.
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    Traffic & Transportation+Artificial Intelligence
    Trip optimization of household autonomous driving travel
    Qin Huanmei, Han Xiaojing, Lu Zhaolin, Wen Xiaohuan
    2026, 45(9): 72-81.  DOI: 10.3969/j.issn.1674-0696.2026.09.09
    Abstract ( )   PDF (4596KB) ( )  
    With the rapid development of autonomous driving technology, its application will provide more comfortable and convenient travel services. Due to its features such as autonomous driving, cruising and parking, it also enables shared use among family members. Taking household autonomous driving travel as the research object, an optimization model for household autonomous driving trip was constructed, which was based on household log surveys and intention data. Considering factors such as linkages and sequencing of family members’ travel activities, time window constraints, and differences between mandatory and flexible activity demands, autonomous driving trips for typical nuclear families and multi-generational families were optimized. The research indicates that the application of autonomous vehicles can significantly improve household travel efficiency, with total travel time for family members in typical nuclear and multi-generational families decreasing by 58.1% and 62.8%, respectively; carbon emission costs for nuclear families can be reduced by 26.2%. However, at the same time, due to the need for vehicles to undertake pick-up and drop off tasks that are originally completed by multiple vehicles and unmanned dispatch needs, the total mileage of vehicles for nuclear families and multi-generational families increase by 47.2% and 73.5%, respectively, with empty mileage accounting for around 30%. Therefore, measures such as optimizing household travel patterns, promoting vehicle sharing, and implementing charges for empty cruising are needed to mitigate these impacts, and then provide decision support for the future application of autonomous driving technology in household scenarios.
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    Cut-in scenarios parameter optimization of highway lane-change for autonomous driving safety test
    Zhang Ruicong1, Wang Miao2, Zhang Yiming3, Peng Yichuan1, Hu Jia1
    2026, 45(9): 82-88.  DOI: 10.3969/j.issn.1674-0696.2026.09.10
    Abstract ( )   PDF (2396KB) ( )  
    Highway cut-in scenarios can easily cause rear-end collisions and traffic flow disturbances, which is a key scenario for autonomous driving safety testing. Test parameters are usually directly sampled within a wide range, with initial spacing, speed difference, and lane changing time each bounded and combined, ignoring their kinematic coupling. The large number of samples that cannot be achieved or are far from the safe haven boundary dilutes the testing budget. A parameter optimization method for highway cut-in scenarios was proposed. Firstly, by combining horizontal accessibility with vertical relative motion, a physical support domain was constructed to eliminate parameter combinations that were not feasible or had unreasonable interactions. Subsequently, normalized safety margins based on vehicle response and braking capabilities were constructed, characterizing the proximity of parameter points to the safe haven boundary. Finally, the risk density within the critical region was estimated and the compact non-rectangular parameter subdomains was screened out through equivalent set filtering. Given the vehicle capability parameters and finite time domain kinematic discriminator, this subdomain occupied 4.35% of the global parameter space, and the collision sample rate increased from 31.09% of the full parameter space sampling to 86.76%. It was found that the average number of tests for a collision sample decreased from 3.22 to 1.15. Under 36 sets of grids and smoothing settings, feasible regions were obtained, and the collision rate was verified to be between 85.5% and 87.9%. Exploratory analysis of highD trajectories in the dataset shows that there is also similar enrichment in natural driving, that is, sorted by simulated risk density, the proportion of danger in the top 25% of samples is 13.64%, which is 3.41 times that of random testing. This proposed method is located upstream of scenario sampling, and the output can be directly used as parameter input for methods such as importance sampling.
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    Collaborative optimization of passenger flow guidance and carrying capacity management based on cloud computing and Stackelberg game
    He Ruobing1, Wang Xiaogang1, Chen Lang2, Li Lulu3, Yang Xin3
    2026, 45(9): 89-98.  DOI: 10.3969/j.issn.1674-0696.2026.09.11
    Abstract ( )   PDF (2150KB) ( )  
    Focusing on the collaborative optimization of passenger flow guidance and carrying capacity management in urban rail transit systems, a Stackelberg game model based on a “cloud-edge-terminal” collaborative architecture was constructed from an integrated “computational-economic” perspective. The proposed model endogenized cloud computing capability as the variance of prediction errors, systematically revealing its transmission mechanism that influenced operational decisions and economic performance by affecting passenger flow prediction accuracy. The game equilibrium was solved by backward induction method and analyzed through numerical simulation. The results show that the optimal guidance intensity and train dispatch frequency decisions are highly sensitive to cloud prediction accuracy. Enhanced cloud computing capability can drive an increase in guidance intensity and more precise adjustment of departure frequency. The system total cost decreases with the improvement of cloud computing capability, exhibiting diminishing marginal returns, which provides a clear economic threshold for cloud resource investment. By reducing information uncertainty, cloud computing significantly strengthens the strategic complementarity and synergistic efficiency between guidance strategies and capacity management.
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    Perception differences of air services by first-time air passengers
    Zhao Guihong1, Huang Yuanmeng1, Fei Chenyang2
    2026, 45(9): 99-109.  DOI: 10.3969/j.issn.1674-0696.2026.09.12
    Abstract ( )   PDF (4059KB) ( )  
    Against the backdrop of sustained expansion in China’s civil aviation transport, first-time air passengers constitute a significant potential group not yet fully integrated into the air travel system, whose service experience and perceived evaluation are crucial for enhancing the accessibility of civil aviation services. Focusing on this group and considering the structural characteristics of the survey data, a clustering algorithm combining self-organizing maps (SOM) and K-means was employed to classify first-time air passengers into three categories: robust comfort-seeking, diversified exploration, and young pragmatic types. By constructing service perceived value coefficients and conducting heterogeneity analysis, it is found that there is difference in the perceived value of emotional care, discounts, seamless transfer and other service elements among different categories of passengers, and the difference is influenced by age and regional economic development level. The research results show that the first-time air passengers are a segmented market with prominent heterogeneity, and their service perception is jointly molded by individual characteristics and external contexts.
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    Modern Traffic Equipment
    Optimization of steel surface defect detection based on machine vision
    Dong Huajun1, Yang Minghan1, Li Zixiao1, Dong Huashi2, Li Jinjin3
    2026, 45(9): 110-117.  DOI: 10.3969/j.issn.1674-0696.2026.09.13
    Abstract ( )   PDF (4198KB) ( )  
    To address the problems such as insufficient accuracy, parameter redundancy and slow inference speed in existing steel surface defect detection methods, a high-precision detection algorithm named LSD-YOLOv11 was proposed. In the proposed algorithm, the FRLDS downsampling method was adopted to reduce the resolution of the feature map and preserve the key features of small defects. The C3K2-Di-SpAM module was designed to enhance the multi-scale feature extraction capability, and the DepGraph structured pruning algorithm based on dependency graphs was introduced to remove redundant parameters. Experimental results show that LSD-YOLOv11 effectively balances the contradiction between feature resolution reduction and key information preservation, reduces the computational cost and improves the feature extraction capability. Compared to the baseline model YOLOv11n, the proposed algorithm improves mAP50 by 8.5%, reduces computational cost by 18.9% and increases FPS by 21.7%.
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    Control study of the single-axle straddle-type monorail vehicle based on the SAC algorithm
    Xin Liang, Yang Haizhan, Yang Zhen, Xu Zhouzhou, Du Zixue
    2026, 45(9): 118-126.  DOI: 10.3969/j.issn.1674-0696.2026.09.14
    Abstract ( )   PDF (4144KB) ( )  
    To address the insufficient lateral stability of single-axle straddle-type monorail vehicles during operation, a specific type of single-axle straddle-type monorail vehicle was taken as the research object. Based on the Adams multibody dynamics vehicle model, an Adams/Simulink co-simulation environment was established. The SAC algorithm was integrated with the dynamics model of the single-axle straddle-type monorail vehicle to construct an intelligent active control framework, and the corresponding reward function and constraints were designed. Random road excitation generated from the Japanese track spectrum and finger-shaped road excitation were used as inputs to conduct control strategy training and simulation verification under different vehicle speed conditions. The simulation results show that, compared with the passive state and Skyhook control, SAC control can reduce key evaluation indicators such as vehicle body lateral acceleration, yaw angular acceleration and roll angular acceleration, thereby improving the lateral stability of the vehicle body. Meanwhile, SAC control exhibits good stability and control performance under different vehicle-speed conditions.
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