Publications

Yue Zhong, Jun Li, Hong Hao. Quantifying Uncertainty in Structural Damage Identification Using Bayesian Convolutional Neural Networks. International Journal of Structural Stability and Dynamics, 2026, 2642024, DOI: 10.1142/S0219455426420241

Yue Zhong, Jun Li, Genjin Liu, Hong Hao. Probabilistic Quantification of Cracks in Fiber Reinforced Concrete Beams by using Bayesian Neural Networks. Structural Control and Health Monitoring, 2026, 1898553, DOI: 10.1155/stc/1898553

Yue Zhong, Jun Li, Hong Hao, Ling Li, Ruhua Wang. Structural damage identification using phase space matrix with convolutional neural networks. Structures, 2025, 76, 108885, DOI: 10.1016/j.istruc.2025.108885

Yue Zhong, Jun Li, Hong Hao, Ling Li. Non‐probabilistic Structural Damage Identification with Uncertainties by Phase Space–Based CNN. Structural Control and Health Monitoring, 2025(1), 5827324, DOI: 10.1155/stc/5827324

Yonghui An, Yue Zhong, Jia-Hua Yang, Yuanfeng Duan, Jinping Ou. Improvement for an optimization algorithm and its application in structural model updating. Journal of Civil Structural Health Monitoring, 2025, 1-11, DOI: 10.1007/s13349-025-00915-z

Yonghui An, Yue Zhong, Yanbin Tan, Jinping Ou. Experimental and numerical studies on a test method for damage diagnosis of stay cables. Advances in Structural Engineering, 2017, 20(2), 245-256, DOI: 10.1177/1369433216659927

Zhen Peng, Jun Li, Yue Zhong, Hong Hao. Interpretable Damage Sensitive Feature Extraction for Drive-by Structural Health Monitoring Using Knowledge Distillation-based Deep Learning. Journal of Sound and Vibration, 2025, 119303, DOI: 10.1016/j.jsv.2025.119303

Zhen Peng, Jun Li, Hong Hao, Yue Zhong. Smart structural health monitoring using computer vision and edge computing. Engineering Structures, 2024, 319, 118809, DOI: 10.1016/j.engstruct.2024.118809

Yonghui An, Bartłomiej Błachowski, Yue Zhong, Paweł Hołobut, Jinping Ou. Rank‐revealing QR decomposition applied to damage localization in truss structures. Structural Control and Health Monitoring, 2017, 24(2), e1849, DOI: 10.1002/stc.1849

Zhenrong Liu, Huaxin Liu, Weixing Xu, Beibei Liu, Yue Zhong, Jian Geng, Genjin Liu. Study on the bond properties between basalt fiber-reinforced spontaneous combustion coal gangue concrete and BFRP bars. Journal of Adhesion Science and Technology, 2024, 38(12), 2100-2127, DOI: 10.1080/01694243.2023.2288428

Zhenrong Liu, Huaxin Liu, Weixing Xu, Beibei Liu, Tiantian Yin, Yue Zhong, Genjin Liu. An experimental investigation of the bond performance of BFRP bars with recycled-aggregate concrete of different particle sizes. Journal of Adhesion Science and Technology, 2024, 38(2), 261-287, DOI: 10.1080/01694243.2023.2225251

Computer Software Copyright

An Yonghui; Zhong Yue; Wei guangyang, Damage Diagnosis Software Based on a Temporary Diagonal Bar V1.0, 2016,2016SR354791

Patents

An Yonghui, Gong Yongqiang, Zhong Yue, Ou Jinping. Road deicing system for bridges with box section. Utility Patent, ZL 2015 2 0527207.4

An Yonghui, Zhong Yue, Ou Jinping. A Test Device and the corresponding Method for Damage Diagnosis of Stay Cablesbased on a temporary diagonal bar. Invention Patent, 201510695452.0

Projects Participated

National Key Basic Research Program of China (973 Program) for Young Scientists: Time-varying effect and service condition assessment of long-span bridges under sustaining environmental load, 2015.01-2019.08

National Natural Science Foundation of China: A two-stage precise damage diagnosis and performance assessment method for suspension bridge suspender cables, 2016.01-2018.12

Research Program Xinghai Scholar Talent Development Plan: Local damage diagnosis and hidden danger analysis for high-speed railway arch bridges, 2016.07-2019.12

China Postdoctoral Science Foundation (Special Fund): Precise diagnosis method for local damage of stay cables using guided wave-based defect reflective echo analysis, 2015.07-2017.03

China Postdoctoral Science Foundation (First Class Fund): Theoritical and experimental studies of damage diagnosis methods with high anti-noise ability for stay cables, 2014.09-2017.03