| [1] |
WAN Jiakai1, MA Licheng2, TIAN Zhidian1, CHENG Xiaoliang1,
ZHANG Haojun1, ZHU Aizhu2.
Experimental Study on the Bonding Performance of
High-Strength Steel Bar and UHPC Interface
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(2): 1-7.
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| [2] |
YE Juntao, ZHANG Dawei.
Estimation Method of Mean Texture Depth for Cement Concrete Pavements
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 7-14.
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| [3] |
YUE Hongzhi1,2, CHEN Yingjiao3, ZHAO Lin1,2, ZHOU Haifang3, LYU Quan4.
Pavement Performance of Chemically Activated Terminal Blend Rubber Powder Modified Asphalt Mixtures
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(7): 59-66.
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| [4] |
YU Hao1, YANG Jie2, HE Zhaoyi2, QIN Min3, YANG Zhiqiang2.
Coarse Aggregate Angularity and Its Influence on the Performance of Asphalt Mixture
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(6): 26-34.
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| [5] |
XU Xinquan1, HU Yuanjiao2, WENG Yuhan3, HE Weijie1.
Road surface texture is a key factor affecting the skid resistance performance. To further study its influence mechanism and to solve the problem of limited accuracy of traditional prediction methods under multi-feature data conditions, a pavement skid resistance performance assessment model based on the fusion of Bayesian optimization algorithm (BOA) and extreme gradient boosting (XGBoost) was proposed. Firstly, specimens phalt mixtures of different gradation types were prepared. Friction data and 3D texture data of the specimen surface were respectively obtained by using a pendulum friction meter and a 3D laser scanning device. Secondly, the height, the wavelength and shape parameters were extracted to describe the texture structure, and the texture feature importance analysis was carried out to clarify the factors that significantly affected the skid resistance. Then, the optimal key parameters were improved by introducing of the model BOA-XGBoost and the prediction model of skid resistance performance was established. The research results show that compared with the comparative models, the proposed model has higher accuracy, with a correlation coefficient R2 of 0.890 6, which is 25.2%, 13.0%, and 15.1% higher than those of the comparative models, respectively. The proposed model can effectively correlate texture features with pavement skid resistance performance.
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(6): 35-44.
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| [6] |
WANG Lijun, FANG Qingtian.
Microwave Warming Performance of Ferrite-Silicon Carbide Asphalt Mixture
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(6): 53-63.
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| [7] |
MA Hongyan1, WENG Mingsheng1, HUANG Renjie1, XU Song1, ZHENG Litang2.
Shear Strength Characteristics and Prediction Model of
Polypropylene Fiber Modified Red Clay under Dry-Wet Cycle
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(3): 33-39.
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| [8] |
CHEN Zhongzhang1, DUAN Muzi1, CAI Shengyu1, SU Weifeng1, LI Pengfei2.
Mechanical and Microscopic Properties of High-Performance Concrete Prepared by Tunneling Excavation Materials
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(2): 34-42.
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| [9] |
LIU Feifei, LIU Shuaihua, LI Jianqiang, QIN Wu, LI Jun.
Influencing Factors of Liquid Cooling Heat Dissipation Performance of Lithium-Ion Batteries
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(11): 1-10.
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| [10] |
WANG Chao, SUN Yanguang, REN Zhengyang.
Fatigue and Fracture Behavior Mechanism of Asphalt Based on Damage Tolerance Design Theory: Feature Discrimination,Mechanistic Criterion and Performance Prediction
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(1): 8-16.
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| [11] |
WANG Hainian1, LI Yingkai1, WANG Huimin2, LI Lian1, SONG Haoran1.
Influence of Coarse Aggregate Morphology on the Anti-slip Performance of Asphalt Pavement
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(1): 25-32.
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| [12] |
LIU Gang, CHEN Tianyu, ZHANG Baolai, ZHANG Hongyang.
Anti-pitch Interconnection Mode of Hydraulic Suspension for Tracked Vehicles
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(9): 127-134.
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| [13] |
PAN Xuejiao1, 2, DONG Shaojiang2, ZHOU Cunfagn2, XIAO Jiafeng2, SONG Kai3.
Rolling Bearing Life State Recognition Based on Deep Convolutional Autoencoder and Multi-scale Residual Shrinkage Network
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(5): 124-132.
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| [14] |
WANG Yuanyuan1,LI Renjie2,LIU Yanyan3,ZHANG Hengtong2,LIU Dezheng2.
Laser-Constrained Binocular Robust Algorithm for Measuring 3D Texture of Pavement
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(2): 24-29.
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| [15] |
XU Xiangyang1, CHEN Qingke1 ,WANG Han1, REN Ziyuan1.
Reliability Analysis of Urban Rail Vehicle Gear Wear Considering Corrosion
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(2): 107-114.
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