Dr Xiang Xu

Research Fellow

Email: 

xxu34@ed.ac.uk

Location: 

2.11 Alexander Graham Bell building

Research Institute: 

  • Infrastructure and Environment

Biography: 

Dr. Xiang Xu is currently working as a TRAIN@Ed Research Fellow (UN Marie-Sklodowska Curie Cofund Program) in School of Engineering, University of Edinburgh. He was working as a postdoc in Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University. He received the B.S. degree in Road and Bridge Engineering from Southeast University, China, and the Ph.D. degree in Bridge Engineering from Southeast University, China. His research interests include smart structures, structural health monitoring, big data, data mining, maintenance strategy, and inspection policy.

Academic Qualifications: 

  • MD-Ph.D. in Bridge & Tunnel Engineering                               Southeast University                                09/2013-06/2019
  • Bachelor in Highway & Bridge Engineering                            Southeast University                                08/2009-06/2013

Research Interests: 

  • Structural condition assessment algorithm
  • Structural health monitoring (SHM)
  • Anomaly detection

Specialities: 

  • Finite Element Model (MIDAS, ANSYS, ABQUS)
  • Coding (MATLAB, PYTHON)
  • Bridge Design Codes

Further Information: 

Magnum opus

  • Xu, X., Ren, Y., Huang, Q., Fan, Z. Y., Tong, Z. J., Chang, W. J., & Liu, B. (2020). Anomaly detection for large span bridges during operational phase using structural health monitoring data. Smart Materials and Structures.
  • Xu, X., Ren, Y., Huang, Q., Zhao, D. Y., Tong, Z. J., & Chang, W. J. (2020). Thermal response separation for bridge long‑term monitoring systems using multi‑resolution wavelet‑based methodologies. Journal of Civil Structural Health Monitoring.
  • Xu, X., Huang*, Q., Ren, Y., Zhao, D., Yang, J., & Zhang, D. (2019) Modelling and separation of thermal effects from cable-stayed bridge response. ASCE Journal of Bridge Engineering.
  • Xu, X., Huang*, Q., Ren, Y., Zhao, D., & Yang, J. (2019) Sensor fault diagnosis for bridge structural health monitoring system based on similarity of symmetric structure responses. Smart Structures & Systems.
  • Xu, X., Huang*, Q., Ren, Y., Zhao, D., Zhang, D., & Sun, H. (2019) Condition evaluation of suspension bridges for maintenance, repair and rehabilitation: a comprehensive framework. Structure & Infrastructure Engineering.
  • Xu, X., Huang*, Q., Ren, Y., & Sun, H. B. (2018) Condition assessment of suspension bridges using local variable weight and normal cloud model. KSCE Journal of Civil Engineering.