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副教授
潘玥
发布时间：2024-04-01        浏览次数：121

职称：预聘副教授

邮箱：pan_yue@tongji.edu.cn

研究领域：桥梁结构长寿命理论、结构性态表征学习、土木工程机器人

所属研究室：桥梁设计方法与过程







主要学历：

  • 2012.09 – 2020.03同济大学土木工程学院桥梁系土木工程工学博士 

  • 2012.09 – 2014.01同济大学土木工程学院桥梁系桥梁与隧道工程硕博连读

  • 2007.09 – 2011.06同济大学土木工程学院测绘系地理信息系统工学学士


工作经历：

  • 2024.01 – 至今同济大学土木工程学院桥梁工程系副教授

  • 2020.06 – 2023.12同济大学电子与信息工程学院计算机科学与技术系讲师

  • 2015.12 – 2016.12美国中佛罗里达大学环境与土木工程学院访问学者

  • 2011.08 – 2012.06团中央西部计划第十三届同济大学研究生支教团支教团长


获奖情况：

  • 中国交通运输学会科学技术奖科技进步三等奖, 2022.

  • 中国公路学会优秀博士论文,2022.

  • 上海市嘉定区青年领军人才,2016.


学术兼职：

  • 世界交通运输大会（WTC）基础设施性态视觉感知标准化工作组秘书长

  • 《Sustainability》期刊客座编辑

  • 国际土木工程全寿命协会会员（IALCCE）：会员

  • 国际桥梁管理和安全协会会员（IABMAS）：会员


科研项目：

  • 国家自然科学基金青年项目《基于图深度学习的正交异性钢桥面板疲劳损伤时空涌现预测方法》,52208198,在研,主持.

  • 国家自然科学基金重点项目《多灾害作用下缆索承重桥梁韧性设计及评价理论》,52238005,在研，参与.

  • 国家重点研发计划课题《交通基础设施结构智能诊治基础科学问题》子课题《结构整体性能提升的多目标智能决策理论》,2021YFF05010004, 在研,主持.

  • 浙江省人工智能开放基金项目《基于无人自主感知机器人集群的混凝土箱梁检测方法研究》202201H,结题,主持.

  • 土木工程高峰学科学科交叉类合作基金项目《基于三维重建和图割理论的混凝土细观模型构建及氯离子扩散系数快速评估方法》,2021-CE-09,结题,联合主持.

  • 浙江省交通厅科技计划项目《基于机载视觉技术的混凝土连续梁表观病害快速检测系统研究》, 2020048,结题,主持.

  • 国家自然科学基金面上项目《实桥轮载作用下钢桥面板既有疲劳裂纹演化机制与预测理论》,51978514,结题,参与.

  • 国家自然科学基金面上项目《高架桥梁声屏障随机车流扰动风荷载谱与应力概率模型》,51778472,结题,参与.


发表论文：

1. Pan, Y., Dong, Y., Wang, D. et al. Comparative study on fatigue evaluation of suspenders by introducing actual vehicle trajectory data. Sci Rep 14, 5165 (2024). https://doi.org/10.1038/s41598-024-55873-1

2. Yiqing Dong, Yue Pan*, Dalei Wang, Airong Chen, Transformer-Enhanced Traffic Load Simulation for Wear Evaluation of Bridge Expansion Joint, Structural Control and Health Monitoring, vol. 2024, Article ID 6631877, 18 pages, 2024. https://doi.org/10.1155/2024/6631877

3. Yiqing Dong, Dalei Wang, Yue Pan*, Jin Di, Airong Chen, Fault Detection of In-Service Bridge Expansion Joint Based on Voiceprint Recognition, Structural Control and Health Monitoring, vol. 2024, Article ID 1270912, 23 pages, 2024. https://doi.org/10.1155/2024/1270912

4. Yiqing Dong, Dalei Wang, Yue Pan* and Yunlong Ma. Full-Bridge Vehicle Load Monitoring for Super-long Span Bridge Based on Vision and WIM integration Automation in Construction. 2023;DOI: 10.1016/j.autcon.2023.104985. 

5. Li Fang, Jinzhou Liu, Yue Pan*, Zhen Ye, Xiaohua Tong. Semantic supported urban change detection using ALS point clouds International Journal of Applied Earth Observation and Geoinformation, 2023; DOI: 10.1016/j.jag.2023.103271.

6. Cheng Xiang, Dalei Wang, Yue Pan*, Airong Chen, Xiaoyi Zhou, Yiquan Zhang. Accelerated topology optimization design of 3D structures based on deep learning Structural and Multidisciplinary Optimization, 2022, DOI: 10.1007/s00158-022-03194-0. 

7. Yiqing Dong, Yue Pan*, Tianzheng Cheng, Dalei Wang. Corrosion detection and evaluation for steel wires based on a multi-vision scanning system Construction and Building Materials,2022;DOI: 10.1016/j.conbuildmat.2021.125877. 

8. Y. Pan, D. Wang*, Y. Dong and B. Peng, A Novel Vision-Based Framework for Identifying Dynamic Vehicle Loads on Long-Span Bridges: A Case Study of Jiangyin Bridge, China, IEEE Transactions on Intelligent Transportation Systems, 2021, DOI: 10.1109/TITS.2021.3094504.

9. Y. Pan, Y. Ma, Y. Dong, Z. Gu and D. Wang*, A Vision-Based Monitoring Method for The Looseness of High-Strength Bolt, IEEE Transactions on Instrumentation and Measurement, Vol. 70, pp. 1-14, 2021, Art no. 5013914, DOI: 10.1109/TIM.2021.3101316.

10. D. Wang, C. Xiang, Y. Pan*, A. Chen, X. Zhou and Y. Zhang, A Deep Convolutional Neural Network for Topology Optimization with Perceptible Generalization Ability Engineering Optimization. 2021; DOI: 10.1080/0305215x.2021.1902998.

11. D. Wang, Y. Dong, Y. Pan* and R. Ma, Machine Vision-Based Monitoring Methodology for the Fatigue Cracks in U-Rib-to-Deck Weld Seams, in IEEE Access, vol. 8, pp. 94204-94219, 2020, DOI: 10.1109/ACCESS.2020.2995276.

12. D. Wang, Y. Zhang, Y. Pan*, B. Peng, H. Liu and R. Ma, An Automated Inspection Method for the Steel Box Girder Bottom of Long-Span Bridges Based on Deep Learning, in IEEE Access, vol. 8, pp. 94010-94023, 2020, DOI: 10.1109/ACCESS.2020.2994275.

13. Pan, Y., Y. Dong, D. Wang*, A. Chen And Z. Ye., Three-Dimensional Reconstruction of Structural Surface Model of Heritage Bridges using UAV-Based Photogrammetric Point Clouds Remote Sensing, 2019; Vol. 11, No. 10: 1204. DOI: 10.3390/RS11101204.

14. Pan, Y., Wang, D., Shen, X., Xu, Y. and Pan, Z, A Novel Computer Vision-Based Monitoring Methodology for Vehicle-Induced Aerodynamic Load On Noise Barrier Structural Control & Health Monitoring. 2018; 25: e2271. DOI: 10.1002/STC.2271. 

15. Chen, A., Fang, X., Pan, Z.*, Wang, D., Pan, Y, Peng, B.. Engineering practices on surface damage inspection and performance evaluation of concrete bridges in China. Structural Concrete. 2021; 1– 16. DOI:10.1002/SUCO.202100158 

16. Ma, Rujin, Zhen Zhang, Yiqing Dong*, and Yue Pan. Deep Learning Based Vehicle Detection and Classification Methodology Using Strain Sensors under Bridge Deck Sensors,2020, no. 18: 5051. DOI: 10.3390/s20185051

17. 陈艾荣，李梓巍，潘玥*，王达磊，马逸鹄. 基于本福特定律的桥梁健康监测数据审计方法[J].同济大学学报（自然科学版）.2023. doi: 10.11908/j.issn.0253-374x.21514

18. 董一庆，王达磊，潘玥*，李晓娅.结构表观病害人工标记数据标准化批处理方法[J]. 华南理工大学学报(自然科学版). 2021. doi:10.12141/j.issn.1000-565X.210016. 

19. 马如进,董一庆,潘子超*,潘玥.基于消费级无人机的古桥三维重构分析[J].华南理工大学学报(自然科学版),2019,47(06):94-100+126

20. 王达磊，彭博，潘玥，陈艾荣*. 基于深度神经网络的锈蚀图像分割与定量分析[J]. 华南理工大学学报(自然科学版).2018,46(12):121-127. 

21. J.C. Liu, Y. Pan*, D.L. Wang, Y.P. Ji and Z.T. Zhou, “A displacement measurement method based on special image signs,” in Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability, CRC Press, 2022.

22. T.Z. Cheng, Y. Pan*, Y.Q. Dong, D.L. Wang, “Reconstruction of 3D model and performance analysis of high strength steel wire with corrosion pit,” in Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability, CRC Press, 2022.

23. X. L. Zhuang, D. L. Wang, B. Peng, Y. Pan*, and H. B. Sun, “Inspection and evaluation of apparent damage in concrete pier based on computer vision,” in Life-Cycle Civil Engineering: Innovation, Theory and Practice, CRC Press, 2021, pp. 1566–1572.

24. Z. X. Gu, Y. Q. Dong, D. L. Wang, Y. Pan*, and X. D. Xu, “A novel system for the looseness monitoring of high-strength bolts based on machine vision,” in Life-Cycle Civil Engineering: Innovation, Theory and Practice, CRC Press, 2021, pp. 1561–1565.

25. Y. L. Ma, Y. Q. Dong, D. L. Wang, Y. Pan*, and S. Q. Zhang, “Full-bridge vehicle identification and tracking method for long-span bridges based on deep learning,” in Life-Cycle Civil Engineering: Innovation, Theory and Practice, CRC Press, 2021, pp. 1605–1610.

26. Y. P. Ji, Y. Q. Dong, D. L. Wang*, R. J. Ma, and Y. Pan, “A vehicle axle group classification approach based on convolutional neural networks,” in Life-Cycle Civil Engineering: Innovation, Theory and Practice, CRC Press, 2021, pp. 1630–1635.

27. Y. Q. Dong, Y. Pan, T. Ma, R. J. Ma, and D.L.Wang*, “A novel system for the monitoring of fatigue cracks in orthotropic steel-box girder,” in Life-Cycle Civil Engineering: Innovation, Theory and Practice, CRC Press, 2021, pp. 1349–1357.

28. D. Wang, B. Peng, and Y. Pan*, “Corrosion segmentation and quantitative analysis based on deep neural networks,” in Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges, CRC Press, 2018, pp. 2881–2888.

29. D. Wang, Y. Pan*, and B. Peng, “Steel box-girder bridge diseases identification based on computer vision system,” in Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges, CRC Press, 2018, pp. 504–511.

30. N. F. Catbas, S. Hiasa, C. Dong*, Y. Pan, O. Celik, E. Karaaslan, “Comprehensive structural health monitoring at local and global level with vision-based technologies,” 26th ASTN symposium, Jacksonville, Florida, Mar.13 -16, 2017, 26, 10–21.

31. Y. Pan*, D. L. Wang, A. R. Chen, and R. J. Ma, “A creation method of lane load characteristic on highway bridges based on deck monitoring video integrated with WIM data,” in Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, CRC Press, 2016, pp. 163–163.

32. D. L. Wang, Y. Pan*, X. Shen, R. J. Ma, and A. R. Chen, “An innovation monitoring method of vehicle induced aerodynamic load on sound barrier integrated with photogrammetry and image analysis,” in Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, CRC Press, 2016, pp. 232–232.

33. A. Chen, Y. Pan*, Z. Pan, and R. Ma, “Vehicle load identification of long-span bridges based on dynamic image recognition: Theoretical research and application in Sutong Bridge,” in Life-Cycle of Civil Engineering Systems, CRC Press, 2014, pp. 1017–1020.


发明专利

1. 李晓娅;张征文;潘玥;张勇;寇静;胡皓;许越楷;王达磊;董一庆;庄骁磊; 一种基于局部和全局特征的桥梁表观全景图生成方法.中国.ZL 2021 1 0381677.4[P].2024-02-23.

2. 潘玥;王达磊;董一庆;马云龙;李梓巍;吉煜鹏; 混凝土预制梁成品质量检测和数字实体模型构建系统及方法. 中国.ZL 2021 1 0187231.8[P].2023-08-04.

3. 马云龙;潘玥;王达磊;董一庆;点阵平面共线特征快速识别方法、存储设备及装置. 中国.ZL202110572619.X[P].2023-02-10.

4. 潘玥;董一庆;王达磊;一种车辆荷载预测方法和系统. 中国. ZL202110378341.2 [P]2022-11-18.

5. 王达磊;马云龙;董一庆; 潘玥;一种架桥节点板视觉特征标识编解码方法. 中国. ZL202110572632.5[P]2022-09-16.

6. 王达磊;刘玖财;潘玥;吉煜鹏;高精度近景摄影测量标志的编解码方法和测量方法.中国. ZL202110719511.9 [P].2022-06-14.

7. 潘玥;陈艾荣;王达磊;董一庆;马云龙;顾振雄;吉煜鹏;庄骁磊; 一种桥梁车辆时空荷载监控方法.中国.ZL202011315926.1[P].2021-09-07.

8. 潘玥.一种可编码近景摄影测量标志的编码解码与测量方法.中国.ZL201810803118.6 [P].2021-03-21.

9.黄荣;叶真;徐聿升;潘玥;顾振雄.一种基于点云语义标注和优化的点云分类方法.中国. ZL201910492227.5[P].2021-05-11.

10. 叶真;徐聿升;潘玥;顾振雄. 基于多尺度超像素和相位相关的窄基线视差的重构方法.中国. ZL201910491539.4 [P].2021-05-11.

11. 徐聿升;叶真;潘玥;顾振雄. 一种基于全局图聚类的平面建筑构件点云轮廓提取方法.中国. ZL201910492239.8 [P].2021-07-16.


主讲课程：

  • 本科生：python语言与工程计算、机器学习与大数据计算、智能信息处理

  • 研究生：土木工程机器人


指导学生获奖：

1.2023 第十八届“挑战杯” 全国大学生课外学术科技作品竞赛黑科技专项赛星系级奖

2.2023 第九届中国国际“互联网+” 大学生创新创业大赛上海赛区金奖

3.2021第十四届中国大学生计算机设计大赛二等奖

4.2021第七届中国国际“互联网+” 大学生创新创业大赛上海赛区银奖


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