Dr. XU Xiang (许 翔)

Email:          xxuseu@126.com

Department:     Bridge Engineering

Location:        711 Transportation Tower

Research Theme: Smart Maintenance of Bridges

Research Interests

1. Condition assessment of large-scale bridges

2. SHM-based bridge anomaly detection

3. Decision makings for bridge maintenance

Academic Qualifications

BEng, School of Transportation, Southeast University

PhD, School of Transportation, Southeast University

Employment History

Visiting scholar, University of Waterloo, Canada

Postdoc, The Hong Kong Polytechnic University, HK, China

Marie Curie Scholar, University of Edinburgh, UK

Projects

1. National Natural Science Foundation of China

2. National Key Research and Development Project

3. China Association for Science and Technology Think Tank Young Talent Program

4. Marie Curie Fellowship as part of the EU-funded Project TRAIN@ED

Papers

1. Xu, X., Shi, C. H., Ren, Y., Fan, Z. Y., Guo, Z. Y., Zeng, X. J., Jin, Y., and Huang, Q. (2023). Probabilistic anomaly detection considering multi-level uncertainties for cable-stayed bridges. Structures.

2. Fan, Z. Y., Xu, X., Ren, Y., Chang, W. J., Deng, C., and Huang, Q. (2023). Fatigue reliability analysis for suspenders of a long-span suspension bridge considering random traffic load and corrosion. Structures.

3. Xu, D. H., Xu, X., Forde, M. C., and Caballero, A. (2023). Concrete and steel bridge structural health monitoring—Insight into choices for machine learning applications. Construction and Building Materials.

4. Xu, X., Xu, D. H., Caballero, A., Ren, Y., Huang, Q., Chang, W. J., and Forde, M. C. (2023). Vehicle-induced deflection prediction using long short-term memory networks. Structures.

5. Xu, X., Forde, M. C., Caballero, A., Ren, Y., and Huang, Q. (2023). Cost-effective maintenance policy for sliding surfaces of bridge bearings using a gamma stochastic process for forecasting. Structural Control and Health Monitoring.

6. Ren, Y., Ye, Q. W., Xu, X., Huang, Q., Fan, Z. Y., Li, C., and Chang, W. J. (2022). An anomaly pattern detection for bridge structural response considering time-varying temperature coefficients. Structures.

7. Xu, X., Forde, M. C., Ren, Y., Huang, Q., and Liu, B. (2022). Multi-index probabilistic anomaly detection for large span bridges using Bayesian estimation and evidential reasoning. Structural Health Monitoring.

8. Fan, Z. Y., Ye, Q. W., Xu, X., Ren, Y., Huang, Q., and Li, W. Z. (2022). Fatigue reliability-based replacement strategy for bridge stay cables: A case study in China. Structures.

9. Xu, X., Qian, Z. D., Huang, Q., Ren, Y., and Liu, B. (2022). Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation. Advances in Structural Engineering.

10. Xu, X., Forde, M. C., Ren, Y., and Huang, Q. (2021). A Bayesian approach for site-specific extreme load prediction of large scale bridges. Structure and Infrastructure Engineering.

11. Xu, X., Xu, Y. L., and Zhang, G. Q. (2021). C-AHP rating system for routine general inspection of long-span suspension bridges. Structure and Infrastructure Engineering.

12. Xu, X., Xu, Y. L., Ren, Y., and Huang, Q. (2021) Site-specific extreme load estimation of a long-span cable-stayed bridge. ASCE Journal of Bridge Engineering.

13. Ren, Y., Xu, X., Liu, B., and Huang, Q. (2020) An age- and condition-dependent variable weight model for performance evaluation of bridge systems. KSCE Journal of Civil Engineering.

14. Fan, Z. Y., Huang, Q., Ren, Y., Xu, X., & Zhu, Z. Y. (2020) Real-time dynamic warning on deflection abnormity of cable-stayed bridges considering operational environment variations. ASCE Journal of Performance of Constructed Facilities.

15. Xu, X., Ren, Y., Huang, Q., Zhao, D. Y., Tong, Z. J., and 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.

16. Fan, Z. Y., Huang, Q., Ren, Y., Zhu, Z. Y., and Xu, X. (2020) A cointegration approach for cable anomaly warning based on structural health monitoring data: an application to cable-stayed bridges. Advances in Structural Engineering.

17. Peng, J., Liu, B., Liu Y. Q., and Xu, X. (2020) Condition-based maintenance policy for systems with a non-homogeneous degradation process. IEEE Access.

18. Xu, X., Ren, Y., Huang, Q., Fan, Z. Y., and Tong, Z. J. (2020) Anomaly detection for large span bridges during operational phase using structural health monitoring data. Smart Materials and Structures.

19. Xu, X., Huang, Q., Ren, Y., Zhao, D. Y., Yang, J., and Zhang, D. Y. (2019) Modelling and separation of thermal effects from cable-stayed bridge response. ASCEJournal of Bridge Engineering.

20. Xu, X., Huang, Q., Ren, Y., Zhao, D. Y., and Yang, J. (2019) Sensor fault diagnosis for bridge structural health monitoring system based on similarity of symmetric structure responses. Smart Structures and Systems.

21. Xu, X., Huang, Q., Ren, Y., Zhao, D. Y., and Yang, J. (2019) Thermal field analysis for large span steel cable-stayed bridges using long-term temperature monitoring data. Journal of Harbin Institute of Technology.

22. Huang, Q., Zhao, D. Y., Ren, Y., and Xu, X. (2019) Multiple Time Scale Analysis of Temperature-Induced Deflection of Cable-stayed Bridges. Journal of Harbin Institute of Technology.

23. Xu, X., Huang, Q., Ren, Y., Zhao, D. Y., Zhang, D. Y., and Sun, H. B. (2019) Condition evaluation of suspension bridges for maintenance, repair and rehabilitation: a comprehensive framework. Structure and Infrastructure Engineering.

24. Ren, Y., Xu, X., Huang, Q., Zhao, D. Y., and Yang, J. (2019) Long-term condition evaluation for stay cable systems using dead load–induced cable forces. Advances in Structural Engineering.

25. Xu, X., Ren, Y., Huang, Q., and Sun, H. B. (2018) Condition assessment method of suspension bridges using time-dependent variable weight model. Journal of South China University of Technology.

26. Xu, X., Huang, Q., Ren, Y., and Liu, X. L. (2018) Determination of index weight in suspension bridge condition assessment based on group-AHP. Journal of Hunan University.

27. Xu, X., Huang, Q., Ren, Y., and Sun, H. B. (2018) Condition assessment of suspension bridges using local variable weight and normal cloud model. KSCE Journal of Civil Engineering.

28. Huang, Q., Ren, Y., Xu, X, and Liu, X. (2017). Research progress of condition evaluation for large span cable supported bridges. Journal of Harbin Institute of Technology.

29. Xu, X., Huang, Q., and Ren, Y., (2017) Local variable weight and cloud theory applied in suspension bridge comprehensive assessment. Journal of Zhejiang University.

30. Huang, Q., Ren, Y., Xu, X., and Liu, X. L. (2017). Research progress of condition evaluation for large span cable supported bridges. Journal of Harbin Institute of Technology.

31. Liu, X., Huang, Q., Ren, Y., Wang, B., and Xu, X. (2017). Comprehensive evaluation method of cable-stayed bridges with multi-index evidence fusion. Journal of Harbin Institute of Technology.

32. Xu, X., Ren, Y., Liu, X., and Chen, R. (2016). A multisource-data-based condition assessment model for large span suspension bridges. Transportation Research Board 96th Annual Meeting.