[1] 2026.01-至今 主持 浙江省自然科学基金青年项目,位移-声音融合驱动的桥梁伸缩装置隐蔽损伤特征增强机制及识别方法
[2] 2023.10-2025.10 主持 浙江省教育厅一般科研项目,基于瞬时索力挖掘的桥梁拉吊索服役性能评估方法研究
[3] 2019.06-2021.10 主持 江苏省研究生科研与实践创新计划项目,基于时序数据挖掘的缆索承重桥梁预后研究
[4] 2022.11-2025.11 参与 国家重点研发计划,超大跨缆索承重桥梁用关键材料研发与示范应用—缆索和锚固体系服役性能高效评估及长效保障技术研究
[5] 2021.07-2023.06 参与 浙江省交通投资集团科研项目,基于多源信息融合的缆索承重桥梁关键构件状态综合评估方法研究
[6] 2018.09-2021.12 参与 江苏省自然科学基金面上项目,基于时序分析的悬索桥状态评估及预后研究
[7] 2019.04-2021.04 参与 江苏省交通运输科技项目(重大专项),沪通长江大桥公路工程相关综合技术研究
发表论文
[1] Fan Ziyuan, Sun Yongming. Detecting and evaluation of fatigue damage in concrete with industrial computed tomography technology. Construction and Building Materials. 2019, 223: 794-805.
[2] Fan Ziyuan, Huang Qiao, Ren Yuan, et al. A cointegration approach for cable anomaly warning based on structural health monitoring data: an application to cable stayed bridges. Advances in Structural Engineering. 2020, 23(13): 2789-2802.
[3] Fan Ziyuan, Huang Qiao, Ren Yuan, et al. Real-time dynamic warning on deflection abnormity of cable-stayed bridges considering operational environment variations, ASCE Journal of Performance of Constructed Facilities. 2021, 35(1): 04020123.
[4] Fan Ziyuan, Sun Yongming. A Study on fatigue behaviors of concrete under uniaxial compression: testing, analysis, and simulation. Journal of Testing and Evaluation. 2021, 49(1): 160-175.
[5] Fan Ziyuan, Ye Qiaowei, Xu Xiang, et al. Fatigue reliability-based replacement strategy for bridge stay cables: A case study in China. Structures, 2022, 39:1176-1188.
[6] Fan Ziyuan, Huang Qiao, Ren Yuan, et al. Cointegration based modeling and anomaly detection approaches using monitoring data of a suspension bridge. Smart Structures and Systems, 2023, 31(2): 183-197.
[7] Fan Ziyuan, Xu Xiang, Ren Yuan, et al. Fatigue reliability analysis for suspenders of a long-span suspension bridge considering random traffic load and corrosion. Structures, 2023, 56: 104981.
[8] Fan Ziyuan, Ren Yuan, Li Yi, et al. Fatigue analysis and strengthening measure for longitudinal steel truss diaphragms in a cable-stayed bridge, Advances in Structural Engineering, 2024, 27(11): 1971-1985.
[9] Fan Ziyuan, Tang Xiaoli, Chen Yang, et al. Review of anomaly detection in large span bridges: available methods, recent advancements and future trends. Advances in Bridge Engineering, 2024, 5: 2.
[10] Fan Ziyuan, Xu Xiang, Ren Yuan, et al. Dynamic warning on abnormity of cable-stayed bridges using deflection measurement. 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9), Missouri University of Science and Technology, St. Louis, USA, 2019.
[11] 樊梓元, 黄侨, 任远, 朱志远, 章世祥. 基于监测时序数据协整关系的斜拉桥挠度预测. 第24届全国桥梁学术会议, 中国土木工程学会桥梁及结构工程分会, 山东 济南, 2020.07.
[12] 樊梓元, 任远, 许翔, 黄侨. 基于长期技术状况的大跨桥梁关键构件服役性能预后研究. 2025年桥梁学术会议, 中国公路学会桥梁和结构工程分会, 湖北 武汉, 2025.12.
更多