人物經歷
2012年在西南交通大學獲得
學士學位,專業為
測繪工程。本科階段,曾擔任西南交通大學土木工程學院學生會主席、西南交通大學地球科學與環境工程學院學生會主席;
2014年在西南交通大學獲得
碩士學位,專業為
道路與鐵道工程。碩士研究生階段,曾擔任西南交通大學土木工程學院研究生會主席;
2018年在美國俄克拉荷馬州立大學獲得
博士學位,專業為
土木工程(交通)。博士研究生階段,曾擔任土木與環境工程學院研究助理、國際學者學生處國際項目助理;
2019年2月起,在西南交通大學摩擦學研究所開展
博士後研究;
2019年2月起,任職於西南交通大學土木工程學院道路與鐵道工程系。
研究領域
戰友博士長期致力於交通基礎設施與計算機信息技術的交叉融合領域,主要研究方向為:
路面抗滑與道路交通安全
路面服役性能智慧型檢測與評估
道路基礎設施智慧型運維與決策
功能型路面
科研項目
戰友博士主持或者參與以下科研項目
主持,
國家自然科學基金青年項目,基於對抗學習的路面摩擦性能智慧型評估模型研究,2021.1.1~2023.12.31。
主持,
中國博士後科學基金特別資助項目,面向自動駕駛的路面摩擦性能感知模型研究,2021.7.1~2024.6.30。
主持,四川省自然科學基金面上項目,川內高速公路瀝青路面服役性能智慧型化評估與養護決策研究,2022.4.1~2024.3.30。
主持,
中國博士後科學基金面上項目,基於三維雷射成像技術的路面摩擦性能實時評價機制研究,2020.1.1~2021.12.31。
主持,中央高校基本科研業務經費課題,基於機器學習的路面摩擦性能衰變模型與機理研究,2020.1.1~2021.12.31。
主研,四川省青年科技創新研究團隊(培育),環境適應型耐久性鋪面結構與材料,2021.4.1~2024.3.30。
主研,
國家重點研發計畫項目,高寒地區高速鐵路無砟軌道混凝土損傷失效機理與耐久性設計方法,2021.12.20~2026.11.30。
主研,
國家自然科學基金面上項目,季凍區高速鐵路全斷面瀝青混凝土強化基床表層工作機制與長期性能,2018.1.1~2021.12.31。
主研,四川省科技計畫面上項目,川內高速公路瀝青路面裂縫三維智慧型識別與深度學習算法研究,2021.4.1~2023.3.30。
參與,
國家自然科學基金高鐵聯合基金,高速鐵路軌道結構故障診斷及預測關鍵技術研究,2016.1.1~2020.12.31。
論文成果
戰友博士已發表論文30餘篇:
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.
戰友,鄧強勝,羅志偉,劉成,張傲南,邱延峻.基於 GBDT 的瀝青路面抗滑性能感知模型研究[J/OL].土木工程學報. https://doi.org/10.15951/j.tmgcxb.21111144
戰友*(通訊),陽恩慧,馬嘯天,安哲立,代先星,王郴平.無砟軌道板裂縫三維雷射檢測系統研發與算法驗證[J].鐵道學報,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.
戰友*(通訊),李強,馬嘯天,王郴平,邱延峻.基於宏微觀紋理特徵融合的路面摩擦性能預測[J].浙江大學學報(工學版),2021,55(04):684-694.
彭毅, 李強, 戰友*(通訊), 楊廣偉, 王郴平.基於區域三維紋理特徵的路面抗滑性能評估[J].東南大學學報(自然科學版),2020,50(04):667-676.
丁世海,戰友*(通訊),陽恩慧,王郴平. 基於高精度雷射斷面高程的瀝青路面MTD測量[J]. 東南大學學報(自然科學版), 2020,50(01):137-142.
唐明酉,何賢霖,劉智銘,來貝貝,王兵, 戰友*(通訊).基於三維雷射成像的路面抗滑性能非接觸式檢測技術[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
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.