战友 副教授

博士生导师

硕士生导师

个人信息Personal Information


教师英文名称:ZHAN You

学位:哲学博士学位

办公地点:道路与铁道工程系

主要任职:土木工程学院副教授

其他任职:校团委副书记(兼职)

毕业院校:Oklahoma State University

学科:道路与铁道工程. 土木工程. 交通运输. 土木水利

所在单位:土木工程学院

报考该导师研究生的方式

欢迎你报考战友老师的研究生,报考有以下方式:

1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择战友老师,你的所有申请信息将发送给战友老师,老师看到后将和你取得联系,点击此处参加夏令营活动

2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请战友老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为战友老师,老师看到信息后将和你取得联系,点击此处推免生预报名

3、参加全国硕士研究生统一招生考试报考战友老师招收的专业和方向,进入复试后提交导师意向时选择战友老师。

4、如果你有兴趣攻读战友老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。

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    1. Zhan, Y., Li, J. Q., Yang, G., Wang, K. C. P., & Yu, W. (2020). Friction-ResNets: Deep Residual Network Architecture for Pavement Skid Resistance Evaluation. Journal of Transportation Engineering, Part B: Pavements, 146(3), 04020027. doi: 10.1061/jpeodx.0000187.

    2. 战友,邓强胜,罗志伟,刘成,张傲南,邱延峻.基于 GBDT 的沥青路面抗滑性能感知模型研究[J/OL].土木工程学报. https://doi.org/10.15951/j.tmgcxb.21111144

    3. 战友*(通讯),阳恩慧,马啸天,安哲立,代先星,王郴平.无砟轨道板裂缝三维激光检测系统研发与算法验证[J].铁道学报,2021,43(07):114-120.

    4. Zhan, Y.*(Corresponding), Liu, C., Deng, Q., Feng, Q., Qiu, Y., Zhang, A., & He, X. (2021). Integrated FFT and XGBoost framework to predict pavement skid resistance using automatic 3D texture measurement. Measurement, 188, 110638. https://doi.org/10.1016/j.measurement.2021.110638 

    5. Zhan, Y.*(Corresponding), Dai, X., Yang, E. & Wang, K. C. P (2020) Convolutional Neural Network for Detecting Railway Fastener Defects Using a Developed 3D Laser System. International Journal of Rail Transportation, DOI: 10.1080/23248378.2020.1825128.

    6. Huang, H., Zhan, Y.*(Corresponding), Tao, Y., Ai, C., Ren, D., & Jin, D. (2021). Three-dimensional characterization of bonding features for asphalt pavement interface using a novel Interlayer Isolation film. Construction and Building Materials, 311, 125301. https://doi.org/10.1016/j.conbuildmat.2021.125301 

    7. Zhan, Y., Li, J. Q., Liu, C., Wang, K. C., Pittenger, D. M., & Musharraf, Z. (2021). Effect of aggregate properties on asphalt pavement friction based on random forest analysis. Construction and Building Materials, 292, 123467. doi:10.1016/j.conbuildmat.2021.123467

    8. Liu, C., Zhan, Y.*(Corresponding), Deng, Q., Qiu, Y., & Zhang, A. (2021). An improved differential box counting method to measure fractal dimensions for pavement surface skid resistance evaluation. Measurement, 178, 109376. doi:10.1016/j.measurement.2021.109376

    9. Deng, Q., Zhan, Y.*(Corresponding), Liu, C., Qiu, Y., & Zhang, A. (2021). Multiscale power spectrum analysis of 3d surface texture for prediction of asphalt pavement friction. Construction and Building Materials, 293, 123506. doi:10.1016/j.conbuildmat.2021.123506

    10. Wang, T., Ma, H., Liu, J., Luo, Q., Wang, Q., & Zhan, Y.*(Corresponding) (2021). Assessing frost heave susceptibility of gravelly soils based on multivariate adaptive regression splines model. Cold Regions Science and Technology, 181, 103182. doi:10.1016/j.coldregions.2020.103182

    11. Ding, S., Wang, K. C., Yang, E., & Zhan, Y.*(Corresponding) (2021). Influence of effective texture depth on pavement friction based on 3d texture area. Construction and Building Materials, 287, 123002. doi:10.1016/j.conbuildmat.2021.123002

    12. Zhan, Y., Li, Q. J., Yang, G., Pittenger, D. M., Wang, K. C. P., & Zaman, M. (2019). Panel Data Models for Pavement Friction of Major Preventive Maintenance Treatments. International Journal of Geomechanics, 19(8), 04019081. doi: 10.1061/(asce)gm.1943-5622.0001445.

    13. 战友*(通讯),,李强,马啸天,王郴平,邱延峻.基于宏微观纹理特征融合的路面摩擦性能预测[J].浙江大学学报(工学版),2021,55(04):684-694.

    14. 彭毅, 李强, 战友*(通讯), 杨广伟, 王郴平.基于区域三维纹理特征的路面抗滑性能评估[J].东南大学学报(自然科学版),2020,50(04):667-676. 

    15. 丁世海,战友*(通讯),阳恩慧,王郴平. 基于高精度激光断面高程的沥青路面MTD测量[J]. 东南大学学报(自然科学版), 2020,50(01):137-142.

    16. 唐明酉,何贤霖,刘智铭,来贝贝,王兵, 战友*(通讯).基于三维激光成像的路面抗滑性能非接触式检测技术[J/OL].中外公路:1-9[2022-02-24].http://kns.cnki.net/kcms/detail/43.1363.U.20211231.0946.004.html.

    17. Li, Q. J., Zhan, Y., Yang, G., Wang, K. C., & Wang, C. (2017). Panel data analysis of surface skid resistance for various pavement preventive maintenance treatments using long term pavement performance (LTPP) data. Canadian Journal of Civil Engineering, 44(5), 358-366. doi:10.1139/cjce-2016-0540

    18. Li, Q. J., Zhan, Y., Yang, G., & Wang, K. C. (2018). Pavement skid resistance as a function of pavement surface and aggregate texture properties. International Journal of Pavement Engineering, 1-11. doi:10.1080/10298436.2018.1525489

    19. Li, Q. J., Zhan, Y., Yang, G., Pittenger, D. (2018). 3D Characterization of Aggregates for Pavement Skid Resistance. Journal of Transportation Engineering, Part B: Pavements. DOI: 10.1061/JPEODX.0000105.

    20. Zhan, Y., Li, Q. J., Yang, G., & Wang, K. C. (2017). Performance Monitoring of Pavement Surface Characteristics with 3D Surface Data. Airfield and Highway Pavements 2017. doi:10.1061/9780784480946.018

    21. Zhang, A. A., Wang, K. C., Liu, Y., Zhan, Y., Yang, G., Wang, G., Yang, E., Zhang, H., Dong, Z., He, A., Xu, J., Shang, J. (2022). Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12909

    22. Yan, C., Yan, J., Shi, B., Zhan, Y., Zhang, A. (2022). Proposing a novel double sigmoidal model to fit the master curve for various polymer-modified asphalt. International Journal of Pavement Engineering, 1–14. https://doi.org/10.1080/10298436.2022.2099852

    23. Nguyen, V. D., Luo, Q., Wang, T., Zhang, L., Zhan, Y., & Nguyen, T. P. (2022). Monitoring of an instrumented geosynthetic-reinforced piled embankment with a triangular pile configuration. International Journal of Rail Transportation, 1–23. https://doi.org/10.1080/23248378.2022.2032853 

    24. Li, J. Q., Pittenger, D., Wang, K., Yang, G., Zaman, M., Zhan, Y. (2020). Aggregate Characteristics-Based Preventive Maintenance Treatments for Optimized Skid Resistance of Pavements. Transportation Research Record: Journal of the Transportation Research Board, 2674(12), 372-384. doi:10.1177/0361198120953153

    25. Yang, G., Li, Q. J., Zhan, Y., Yu, W., Wang, K. C. P., Peng, Y. (2019). FIELD PERFORMANCE EVALUATION OF HIGH FRICTION SURFACE TREATMENTS (HFST) IN OKLAHOMA. Canadian Journal of Civil Engineering. doi:10.1139/cjce-2018-0521 

    26. Yang, G., Li, Q. J., Zhan, Y., Fei, Y., Zhang, A. (2018). Convolutional Neural Network–Based Friction Model Using Pavement Texture Data. Journal of Computing in Civil Engineering, 32(6), 04018052. doi:10.1061/(asce)cp.1943-5487.0000797

    27. Yang, G., Li, Q.,Zhan, Y. J., Wang, K. C., Wang, C. (2017). Wavelet based macrotexture analysis for pavement friction prediction. KSCE Journal of Civil Engineering, 22(1), 117-124. doi:10.1007/s12205-017-1165-x

    28. Yang, G., Li, Q., Zhan, Y. J., Wang, K. C. (2017). Field Monitoring of the Long Term Pavement Performance (LTPP) Warm-Mix Asphalt (WMA) Site in Oklahoma. DEStech Transactions on Materials Science and Engineering, (Ictim). doi:10.12783/dtmse/ictim2017/9906

    29. Wang, K. C., Li, Q. J., Yang, G., Zhan, Y., Qiu, Y. (2015). Network level pavement evaluation with 1 mm 3D survey system. Journal of Traffic and Transportation Engineering (English Edition),2(6), 391-398. doi: 10.1016/j.jtte.2015.10.005

    30. Li, Q. J., Yang, G., Wang, K. C., Zhan, Y., Merritt, D., & Wang, C. (2016). Effectiveness and performance of high friction surface treatments at a national scale. Canadian Journal of Civil Engineering, 43(9), 812-821. doi:10.1139/cjce-2016-0132

    31. Li, Q., Yang, G., Wang, K. C., Zhan, Y., Wang, C. (2017). Novel Macro- and Microtexture Indicators for Pavement Friction by Using High-Resolution Three-Dimensional Surface Data. Transportation Research Record: Journal of the Transportation Research Board, 2641, 164-176. doi:10.3141/2641-19

    32. Li, Q. J., Wang, K. C., Yang, G., Zhan, J. Y., Qiu, Y. (2018). Data needs and implementation of the Pavement ME Design. Transportmetrica A: Transport Science, 1-30. doi:10.1080/23249935.2018.1504254

    33. Li, Q., Yang, G., Wang, K. C., Zhan, Y. (2016). Evaluation of Pavement Surface Characteristics for High Friction Surface Treatment (HFST). International Conference on Transportation and Development 2016. doi:10.1061/9780784479926.077

    34. Li, Q. J., Pittenger, D. M., Wang, K. C. P., Yang, G.,  Zaman, M.,Zhan, Y.  (2020). Aggregate Characteristics-Based Preventive Maintenance Treatments for Optimized Skid Resistance of Pavements. Transportation Research Record: Journal of the Transportation Research Board.

     

    1. 主持,国家自然科学基金面上项目,高寒山区胎-路时变耦合接触行为特性及路面抗滑性能衰变智能推演,2025.1.1~2028.12.31。

    2. 主持,国家自然科学基金青年项目,基于对抗学习的路面摩擦性能智能评估模型研究,2021.1.1~2023.12.31。

    3. 主持,中国博士后科学基金特别资助项目,面向自动驾驶的路面摩擦性能感知模型研究,2021.7.1~2024.6.30。

    4. 主持,四川省自然科学基金面上项目,川内高速公路沥青路面服役性能智能化评估与养护决策研究,2022.4.1~2024.3.30。

    5. 主持,中国博士后科学基金面上项目,基于三维激光成像技术的路面摩擦性能实时评价机制研究,2020.1.1~2021.12.31。

    6. 主持,中央高校基本科研业务经费课题,基于机器学习的路面摩擦性能衰变模型与机理研究,2020.1.1~2021.12.31。

    7. 主持,四川葛洲坝巴通万高速公路有限公司科研项目,高温多雨山区公路路面抗滑性能劣化模型及表面处治技术研究,2020.9.1~2022.5.31。

    8. 主研,四川省青年科技创新研究团队(培育),环境适应型耐久性铺面结构与材料,2021.4.1~2024.3.30。

    9. 主研,国家重点研发计划项目,高寒地区高速铁路无砟轨道混凝土损伤失效机理与耐久性设计方法,2021.12.20~2026.11.30。

    10. 主研,国家自然科学基金面上项目,季冻区高速铁路全断面沥青混凝土强化基床表层工作机制与长期性能,2018.1.1~2021.12.31。

    11. 主研,四川省科技计划面上项目,川内高速公路沥青路面裂缝三维智能识别与深度学习算法研究,2021.4.1~2023.3.30。

    12. 参与,国家自然科学基金高铁联合基金,高速铁路轨道结构故障诊断及预测关键技术研究,2016.1.1~2020.12.31。

     


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