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。
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.
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
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.
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
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.
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
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
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
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
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
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
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.
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.
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.
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.
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.
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.