Dr Kun Feng

Dr Kun Feng has been a Lecturer in Civil Engineering at Anglia Ruskin University since 2024 and is an Associate Fellow of the Higher Education Academy (AFHEA). He teaches full-time and part-time students, as well as degree apprentices. His research focuses on sustainable transport infrastructure, particularly structural health monitoring of road pavements and bridge structures.

[email protected]

Visit Kun's Google Scholar profile

Visit Kun's ResearchGate profile

Visit Kun's Scopus profile

Background

Kun completed his BEng in Civil Engineering at the Yangtze University in 2017, including final-year studies at the Technological University of the Shannon. He studied for a Master's in Civil Engineering at Trinity College Dublin, and completed his PhD at University College Dublin in 2022. Both his PhD and his Postdoc at Queen’s University Belfast are mainly related to sustainable and resilient transport infrastructure, with a focus on roads and bridges, particularly in vibration-based structural health monitoring and structural assessment.

Over the past few years, Kun has worked for two large research projects. The first, MARS-Fly, was a €1.7 million tri-partite initiative funded by SFI, DfE NI, and NSF, collaborating with universities in Ireland, UK, and US. The second, StreetZero, is a £2.3 million research project funded by the EPSRC Prosperity Partnerships, which connects and integrates his research at Queen’s University Belfast with industry partners, including Wrightbus and DfI NI.

Research interests

• Structural health monitoring
• Vehicle bridge interaction
• Signal processing
• Machine learning
• Bridge dynamics
• Vehicle dynamics

Areas of research supervision

• Sustainable and resilient transport infrastructure
• Civil structural health monitoring
• Artificial intelligence and machine learning

Teaching

Kun teaches on the following modules:

• Highways Design and Construction
• Statistics and Process Quality Assurance
• Analytical Techniques
• Civil Engineering Design Project
• Sustainable Conceptual Design for Civil Engineering
• Dissertation
• Research Methods and Dissertation/Individual Project

Qualifications

• PhD in Civil Engineering, University College Dublin, 2022
• BEng Civil Engineering, Yangtze University, 2017

Memberships, editorial boards

• Member of the Institution of Engineers of Ireland (MIEI)
• Member of the International Society for Structural Health Monitoring of Intelligent Infrastructure (MISHMII)
• Member of the International Society for Weigh-In-Motion (MISWIM)
• Graduate Member of the Institution of Civil Engineers (GMICE)
• Graduate Member of the Institution of Structural Engineers (GMIStructE)
• Guest Editor, Structural Durability & Health Monitoring
• Guest Editor, Journal of Intelligent Construction
• Guest Editor, Sensors
• Guest Editor, Buildings

Research grants, consultancy, knowledge exchange

• Early Career Researchers (ECR) Fund, Anglia Ruskin University, 2024
• Early Career Researchers (ECR) Fund, Queen's University Belfast, 2022

Selected recent publications

Feng, K., Hester, D., Taylor, S., et al. (2024) 'Experimental modal identification of a pedestrian bridge through drive-by monitoring integrated with shared-mobility vehicles', Developments in the Built Environment, 20, 100562. Available at: https://doi.org/10.1016/j.dibe.2024.100562

Li, Z., Lan, Y., Feng, K., et al. (2024) 'Investigation of time-varying frequencies of two-axle vehicles and bridges during interaction using drive-by methods and improved multisynchrosqueezing transform', Mechanical Systems and Signal Processing, 220, 111677. Available at: https://doi.org/10.1016/j.ymssp.2024.111677

Ren, Y. F., Feng, K., O'Brien, E. J., et al. (2024) 'Bridge Profile and Vehicle Property Determination Using Vehicle Fleet Monitoring Concept', International Journal of Structural Stability and Dynamics, 2550219. Available at: https://doi.org/10.1142/S0219455425502190

Fayyad, T., Taylor, S., Feng, K., et al. (2024) 'A scientometric analysis of drone-based structural health monitoring and new technologies', Advances in Structural Engineering. Available at: https://doi.org/10.1177/13694332241255734

Zhang, G., Hou, J., Feng, K., et al. (2024) 'Structural damage identification with output-only strain measurements and swarm intelligence algorithms: a comparative study', Measurement Science and Technology, 35(5), 056125. Available at: https://doi.org/10.1088/1361-6501/ad2ad4

Feng, K., Casero, M. and González, A. (2023) 'Characterization of the road profile and the rotational stiffness of supports in a bridge based on axle accelerations of a crossing vehicle', Computer‐Aided Civil and Infrastructure Engineering, 38(14), pp. 1935-1954. Available at: https://doi.org/10.1111/mice.12974

González, A., Feng, K. and Casero, M. (2023) 'Detection, localisation and quantification of stiffness loss in a bridge using indirect drive-by measurements', Structure and Infrastructure Engineering. Available at: https://doi.org/10.1080/15732479.2023.2275682

González, A., Feng, K. and Casero, M. (2023) 'Effective separation of vehicle, road and bridge information from drive-by acceleration data via the power spectral density resulting from crossings at various speeds', Developments in the Built Environment, 14, 100162. Available at: https://doi.org/10.1016/j.dibe.2023.100162

González, A., Feng, K. and Casero, M. (2022) 'The use of the forced frequency of a bridge due to a truck fleet for estimating stiffness losses at low speed', Applied Sciences, 12(22), 11380. Available at: https://doi.org/10.3390/app122211380

Feng, K., González, A. and Casero, M. (2021) 'A kNN algorithm for locating and quantifying stiffness loss in a bridge from the forced vibration due to a truck crossing at low speed', Mechanical Systems and Signal Processing, 154, 107599. Available at: https://doi.org/10.1016/j.ymssp.2020.107599

Recent presentations and conferences

Casero, M., González, A. and Feng, K. (2024) 'Mitigation of unwanted effects in drive-by acceleration data for bridge monitoring', Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024, pp. 1637–1645. Available at: https://doi.org/10.1201/9781003483755-191

Feng, K., González, A. and Casero, M. (2021) 'Localisation and quantification of stiffness loss based on the forced vibration of a beam traversed by a quarter-car', Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020, pp. 1599–1606. Available at: https://doi.org/10.1201/9780429279119-219

González, A., Casero, M. and Feng, K. (2020) 'Sensitivity to Damage of the Forced Frequencies of a Simply Supported Beam Subjected to a Moving Quarter-Car', Proceedings of the 13th International Conference on Damage Assessment of Structures , pp. 350–362. Available at: https://doi.org/10.1007/978-981-13-8331-1_24

Feng, K., Casero, M. and González, A. (2019) 'The use of accelerometers in UAVs for bridge health monitoring', 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. Available at: https://doi.org/10.22725/icasp13.389

Casero, M., Feng, K. and González, A. (2019) 'Modal analysis of a bridge using short-duration accelerations', 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII 2019 - Conference Proceedings, pp. 174–179.

González, A., Feng, K. and Casero, M. (2019) 'Numerical analysis of techniques to extract bridge dynamic features from short records of acceleration', IABSE Symposium, Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management, pp. 1148–1155. Available at: https://doi.org/10.2749/guimaraes.2019.1148