| （一）专著/教材 Dongming Feng, Maria Feng, Computer Vision for Structural Dynamics and Health Monitoring（基于计算机视觉传感的结构动力学和健康监测），John Wiley & Sons，ISBN: 978-1-119-56658-8，2021年。https://onlinelibrary.wiley.com/doi/book/10.1002/9781119566557 张建，冯东明，徐燕. 《智能建造与计算机视觉技术》，中国建筑工业出版社，2024年。
（二）代表性论文 在计算机视觉传感监测、结构健康监测、车桥耦合分析、桥梁安全评价与性能提升、桥梁隔减震分析设计等方面，已发表SCI/EI论文70多篇，谷歌学术总被引4000余次，第一作者单篇最高被引700多次，ESI高被引5篇。部分代表作如下：
Wang Baoquan, Zeng Yan, Dongming Feng*. Deep learning-based damage assessment of hinge joints for multi-girder bridges utilizing vehicle-induced bridge responses. Engineering Structures, 2025, 333:120148. Han Yitian, Dongming Feng*, Liao Yuchen. Computer vision-assisted lateral cooperative performance assessment of assembled box girder bridges under normal traffic conditions. Engineering Structures, 2025, 327:119683. Li Jian-An, Dongming Feng*, Li Zichao, Zhang Hao. Bridge influence line identification using an adaptive enhanced variational mode decomposition. Engineering Structures, 2025, 326:119561. Wang Baoquan, Zeng Yan, Dongming Feng*. Theoretical study of extracting modal frequencies and hinge joint stiffness for thin-walled assembled multi-girder bridges from 3D vehicle. Thin-Walled Structures, 2024, 205:112429. Yan Zeng, Dongming Feng*, Jian-An Li, Baoquan Wang. Deep learning-based identification of vehicular moving forces for bridges without axle configurations. Engineering Structures, 2024, 304:117646. Baoquan Wang, Yan Zeng, Dongming Feng*, Jian-An Li. Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture. Vehicle System Dynamics, 2024, DOI: 10.1080/00423114.2024.2375031 Jian-An Li, Dongming Feng*. Fatigue life evaluation of bridge stay cables subject to monitoring traffic and considering road roughness. Engineering Structures, 2023, 293:116572. Jian-An Li, Dongming Feng*. A comparative study of vehicle-bridge interaction dynamics with 2D and 3D vehicle models. Engineering Structures, 2023, 292:116493. Yitian Han, Dongming Feng, Gang Wu, et al. Geometric shape measurement and its application in bridge construction based on UAV and terrestrial laser scanner. Automation in Construction, 2023, 151. Yitian Han, Gang Wu, Dongming Feng*. Structural modal identification using a portable laser-and-camera measurement system. Measurement, 2023, 214. Lu Zhang, Dongming Feng*, Gang Wu.Simultaneous identification of bridge damage and vehicle parameters based on bridge strain responses. Structural Control and Health Monitoring, 2022, 29(6):e2945. Yitian Han, Gang Wu, Dongming Feng*. Vision-based displacement measurement using an unmanned aerial vehicle. Structural Control and Health Monitoring, 2022, DOI: 10.1002/stc.3025 Dongming Feng*, Jingquan Wang. Seismic control of a self-anchored suspension bridge using fluid viscous dampers. International Journal of Structural Stability and Dynamics,2021,21(2): 2150025. Dongming Feng, Aiqun Li, Tong Guo*. Seismic control of a single-tower extradosed railway bridge using the E-shaped steel damping bearing. Soil Dynamics and Earthquake Engineering,2020, 136: 106249. Dongming Feng*, Fangyin Zhang. Seismic isolation retrofitting of typical multi-span steel girder bridges in New York State. Transportation Research Record: Journal of the Transportation Research Board,2020, 2647(8): 785-798. Dongming Feng*, Maria Q. Feng. Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review. Engineering Structures, 2018, 156: 105-117. Dongming Feng*, Christopher Mauch, Samuel Summerville, Omar Fernandez. Suspender replacement for a signature bridge. Journal of Bridge Engineering, 2018, 23(11): 05018010. Dongming Feng*, Maria Q. Feng. Experimental validation of cost-effective vision-based structural health monitoring. Mechanical Systems and Signal Processing, 2017, 88: 199-211. Dongming Feng*, Maria Q. Feng. Identification of structural stiffness and excitation forces in time domain using noncontact vision-based displacement measurement. Journal of Sound and Vibration, 2017, 406: 15-28. Dongming Feng*, Thomas Scarangello, Maria Q. Feng, Qi Ye. Cable tension force estimate using novel noncontact vision-based sensor. Measurement, 2017, 99: 44-52. Dongming Feng*, Maria Q. Feng. Output-only damage detection using vehicle-induced displacement response and mode shape curvature index. Structural Control and Health Monitoring, 2016, 23: 1088-1107. Dongming Feng*, Maria Q. Feng. Vision-based multipoint displacement measurement for structural health monitoring. Structural Control and Health Monitoring, 2016, 23(5): 876-890. Dongming Feng*, Hao Sun, Maria Q. Feng. Simultaneous identification of bridge structural parameters and vehicle loads. Computers and Structures, 2015, 157: 76-88. Dongming Feng, Maria Q. Feng*. Model updating of railway bridge using in situ dynamic displacement measurement under trainloads. Journal of Bridge Engineering, 2015, 20(12): 04015019.
冯东明*，赵一轩，孙智韬，史函瑀. 基于概率方法的在役悬索桥主缆剩余承载力评估[J]. 东南大学学报(自然科学版),2025. 万桂军，吴维维，王浩琛，冯东明*. 基于无人机路径规划与深度学习的桥梁点云自动化分割研究[J]. 湖南大学学报(自然科学版), 2025, 52(3): 60-72. 冯东明*，王保全，夏烨 等. 考虑车流荷载的大跨梁桥行车舒适性分析[J]. 东南大学学报(自然科学版),2025,55(2):468-476. 万桂军，黎剑安，冯东明*. 基于变分模态分解和分段多项式截断奇异值分解的桥梁影响线识别[J]. 浙江大学学报(工学版),2025,59(3):460-468. 冯东明，余星宇，黎剑安，吴刚. 基于无人机的悬索桥主缆自动巡检及小样本表观病害识别[J]. 中国公路学报, 2024, 37(2): 29-39. 曾琰，黎剑安，冯东明*. 融合注意力机制和Bi-LSTM网络的车辆辅助桥梁损伤评估[J]. 振动工程学报,2024, 37(7): 1089-1097. 李子超，黎剑安，冯东明*. 基于车桥耦合理论的斜拉桥拉索动力冲击系数及影响因素分析[J]. 振动与冲击, 2024, 43(7): 67-74. 王浩琛，冯东明*，吴刚 等. 基于三维激光点云的公路曲线桥梁三维形貌与变形测量[J]. 东南大学学报(自然科学版),2023,53(5): 756-764.
张璐，冯东明，吴刚*. 基于LSTM网络的车辆动态荷载识别方法[J]. 东南大学学报(自然科学版),2023,53(2):187-192. 冯东明，黎剑安，吴刚，张建. 考虑路面不平度的车桥耦合系统快速建模与动力分析方法[J]. 东南大学学报(自然科学版),2022,52(6):1088-1094. 韩怡天，冯东明*，吴刚. 基于机器视觉与无人机的结构动位移测量方法[J]. 振动与冲击, 2022, 41(19): 1-7.
|
