徐 燕


通讯方式:xuyan0909@live.com

研究方向:

  • 结构健康监测

  • 计算机视觉、激光扫描等智能感知技术

  • 桥梁智能建造

办公地点:土木科研楼1008室

 

 

个人简介

徐燕,副研究员,硕士生导师,主要从事工程结构智能感知与性能评估方向的研究工作,主持家自然科学基金青年基金、江苏省自青基、重点研发子课题等项目。获2023年度江苏省高等学校科学技术研究成果奖一等奖、日内瓦国际发明展银奖、日本JSPS外国人特别研究员、国家优秀自费留学生奖学金等。

发表SCI期刊论文20余篇,授权国家发明专利6项,参编行业/团体标准2项。担任1本国际期刊青年编委,以及数十余本国际期刊审稿人。

每年招收硕士生1-2名。

2018/12起,东南大学,土木工程学院,专职科研岗副研究员

2015/01-2018/11,英国埃克塞特大学,结构工程,博士

2011/09-2014/06,东南大学,土木工程建造与管理,硕士

2007/09-2011/06,东南大学,土木工程,学士

科研、教改项目
  • 国家自然科学基金青年项目,523083062024-2026,主持,在研

  • 江苏省自然科学基金青年项目,BK201903722019-2022,主持,已结题

  • 国家重点研发计划项目子课题,2019YFC1511102-22020-2023主持,已结题

  • 江苏省双创博士(2019年)


论文和专著
  • H. Li, W. He, Y. Shan, S. Yang, Y. Xu*, & J. Zhang, Automatic  geometric quality evaluation of multiple embedded plates based on  target-free LiDAR and camera fusion. Journal of Civil Structural Health  Monitoring, 2025: 1-18.

  • Y. Xu, Y. Wang, J., Yang,  & J. Zhang, Two-stage terrestrial laser scan planning framework for  geometric measurement of civil infrastructures. Measurement, 2024:  115785.

  •  Y. Xu, M. Zhao, C. Xu, Y. Wang,  and J. Zhang. Efficient in-site laser scanning scheme with adaptive angular resolution for long-span bridge geometry measurement,Measurement,2024, 232:114704.

  • Y. Xu, B. Wu, and B. Zheng. Full-field geometric imperfection and effect on cross-section capacity of circular steel tubes, Journal of Constructional Steel Research, 2023, 201: 107749.

  •   Y. Xu, J. Zhang, UAV-based bridge geometric shape measurement using automatic bridge component detection and distributed multi-view reconstruction, Automation in Construction, 2022, 140: 104376.

  • Y. Xu, Y. Luo, J. Zhang, Laser-scan based pose monitoring for guiding erection of precast concrete bridge piers, Automation in Construction, 2022, 140: 104347.

  • Y. Xu, J. Zhang, J. Brownjohn, An accurate and distraction-free vision-based structural displacement measurement method integrating Siamese network based tracker and correlation-based template matching, Measurement, 2021, 179: 109506.

  • Y. Xu, M. Zhang, S. Yang, B. Zheng, Measurement and qualification of welded I-column failure mode using laser scanning technique, Structures, 2021,34: 2694–2707.

  • Y. Xu, B. Zheng, M. Zhang, Capacity prediction of cold-formed stainless steel tubular columns using machine learning methods, Journal of Constructional Steel Research, 2021, 182: 106682.

  •  Y. Xu, M. Zhang, B. Zheng, Design of cold-formed stainless steel circular hollow section columns using machine learning methods, Structures, 2021, 33: 2755–2770.

  • Y. Xu, J. Brownjohn, F. Huseynov, Accurate deformation monitoring on bridge structures using a cost-effective sensing system combined with a camera and accelerometers: case study, Journal of Bridge Engineering, 2019, 24:05018014.

  • Y. Xu, J. Brownjohn, D. Hester, Enhanced sparse component analysis for operational modal identification of real-life bridge structures, Mechanical Systems and Signal Processing, 2019, 116: 585–605.

  • Y. Xu, J. Brownjohn, Review of machine-vision based methodologies for displacement measurement in civil structures, Journal of Civil Structural Health Monitoring, 2018, 8: 91–110. (ESI 高被引论文)

  •   Y. Xu, J. Brownjohn, Vision-based systems for structural deformation measurement: case studies, Proceedings of the Institution of Civil Engineers - Structures and Buildings, 2018, 171: 917–930.

  • Y. Xu, J. Brownjohn, D. Kong, A non-contact vision-based system for multipoint displacement monitoring in a cable-stayed footbridge, Structural Control and Health Monitoring, 2018, 25: e2155.

  • Y. Xu, J. Brownjohn, D. Hester, K.Y. Koo, Long-span bridges: Enhanced data fusion of GPS displacement and deck accelerations, Engineering Structures, 2017, 147: 639–651.

专利、软件著作权

发明专利

[1]      一种基于三维激光扫描的预制墩柱安装位置姿态监测方法,2021116338361(申请中)

[2]      一种基于计算机视觉技术的桥梁结构位移影响线实测方法,ZL201811443250.7(授权)

[3]      一种基于计算机视觉中边缘识别的拉索索力测量方法,ZL201811325595.2(授权)

[4]      一种基于三维激光扫描的焊接工字钢大变形自动识别方法,ZL202010157700.7(授权)

[5]      一种基于改进稀疏分量分析的结构振动参数识别方法,ZL201811444261.7(授权)

软件著作权

[1]      相机与激光雷达融合的结构位移监测软件V1.02022SR1595109.

荣誉和奖励

[1]      2018年度国家优秀自费留学生奖学金,国家留学基金管理委员会(全球每年500