| [1] |
WAN Bing1, XIAO Shengcai1, XIONG Sui1, YANG Bo2, TANG Jiale2.
Performance of Sandstone Asphalt Stabilized Macadam Mixed with Reclaimed Asphalt Pavement as Road Base Layer
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(4): 38-44.
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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] |
QIN Min1,DOU Lihong1,XU Diping2,WU Zhou2.
A Review of Asphalt Pavement Uniformity Evaluation Based on Digital Image Processing
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(6): 1-14.
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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] |
SUN Zhaoyun, LIU Huiying, WENG Yuhan, GU Yingbin.
Skid Resistance Performance of Aeolian Sand Pavement
Based on Multi-resolution Fractals
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(11): 93-100.
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| [9] |
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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| [10] |
DONG Pengjun1, CAO Xuejuan2, TANG Boming1, YUAN Ying2.
Measured Dynamic Stress of Asphalt Pavement under the Action of Heavy-Duty Truck
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(1): 62-67.
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| [11] |
WANG Guoqing1,ZHANG Quan2,3,HE Zhaoyi3,QIN Lusheng1,QIU Wenli1.
Reliability Analysis of Permanent Pavement Structure Based on Truncated Distribution
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(2): 17-23.
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| [12] |
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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| [13] |
BAO Xueying1, ZHAO Jinxia1, BAN Xinlin2,3, XU Jianchao2,3.
Risk Factors of Railway Bridge and Tunnel Engineering Technology Interface
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(9): 18-26.
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| [14] |
GAO Yuanyuan1, JIAO Yanpeng2, WANG Peng3, LIU Zhi1.
Influence of Interlayer Continuity Conditions on the Dynamic Characteristics of Asphalt Pavement
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(9): 36-41.
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| [15] |
YU Miao1,2, ZHANG Qiang1, SHI Lin3, TANG Oudi1.
Prediction Model of Skid Resistance of Asphalt Pavement Based on Dynamic Friction Behavior of Tire/Road
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(6): 40-46.
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