Overview
I was previously majored in Bridge and Tunnel Engineering and got my MSc degree in 2016. Since then, I have joined the structural performance group at Cardiff University with government support to study for a PhD in the application of Acoustic Emission in both concrete and self-healing concrete structures. Currently I'm working at Tsinghua University in Beijing as a Research Associate, engaging in structural technologies with emerging materials and systems for civil engineering, including high-performance FRP composite structure, advanced concrete structure, advanced construction technology, etc.
Research
Teaching
Demonstrated 1st Year Mechanical Testing Laboratory - (40 contact hours)
Demonstrated 2nd Year Concrete Laboratory - (80 contact hours)
Supervisors
Publications
2023
- Wang, Y. 2023. Street pavements: A physical reflection of street democracy. Presented at: International Conference on Social Psychology and Humanity Studies (ICSPHS 2023), 24 April 2023, Vol. 5. Vol. 1. EWA Publishing pp. 475-482., (10.54254/2753-7064/5/20230374)
2021
- Wang, Y., Pullin, R., Pearson, M., Davies, R. and Holford, K. 2021. Detection and evaluation of vascular network based self-healing concrete using acoustic emission. Presented at: World Conference on Acoustic Emission 2019 (WCAE), Guangdong, China, 5-8 November 2019 Presented at Shen, G., Zhang, J. and Wu, Z. eds.Advances in Acoustic Emission Technology: Proceedings of the World Conference on Acoustic Emission—2019, Vol. 259. Springer Proceedings in Physics Springer; 1999, (10.1007/978-981-15-9837-1_25)
2020
- Wang, Y. 2020. Damage detection in reinforced concrete and self-healing concrete structures using non-destructive testing techniques. PhD Thesis, Cardiff University.
2019
- Zhang, R., Ma, L., Wang, Q., Li, J., Wang, Y., Chen, H. and Samosvat, V. 2019. Experimental studies on the effect of properties and micro-structure on the creep of concrete-filled steel tubes. Materials 12(7), article number: 1046. (10.3390/ma12071046)
2018
- Xin, J., Zhou, J., Yang, S., Li, X. and Wang, Y. 2018. Bridge structure deformation prediction based on GNSS data using Kalman-ARIMA-GARCH model. Sensors 18(1), pp. 298. (10.3390/s18010298)