A novel deep learning-based method for damage identification of smart building structures Y Yu, C Wang, X Gu, J Li Structural Health Monitoring 18 (1), 143-163, 2019 | 287 | 2019 |
Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks J Wan, Y Yu, Y Wu, R Feng, N Yu Sensors 12 (1), 189-214, 2011 | 162 | 2011 |
A novel optimised self-learning method for compressive strength prediction of high performance concrete Y Yu, W Li, J Li, TN Nguyen Construction and Building Materials 184, 229-247, 2018 | 148 | 2018 |
Vision-based concrete crack detection using a hybrid framework considering noise effect Y Yu, B Samali, M Rashidi, M Mohammadi, TN Nguyen, G Zhang Journal of Building Engineering 61, 105246, 2022 | 116 | 2022 |
Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm Y Yu, M Rashidi, B Samali, M Mohammadi, TN Nguyen, X Zhou Structural Health Monitoring 21 (5), 2244-2263, 2022 | 107 | 2022 |
Quality evaluation of digital twins generated based on UAV photogrammetry and TLS: Bridge case study M Mohammadi, M Rashidi, V Mousavi, A Karami, Y Yu, B Samali Remote Sensing 13 (17), 3499, 2021 | 100 | 2021 |
Semi-active control of magnetorheological elastomer base isolation system utilising learning-based inverse model X Gu, Y Yu, J Li, Y Li Journal of Sound and Vibration 406, 346-362, 2017 | 80 | 2017 |
Analysis of magnetorheological clutch with double cup-shaped gap excited by Halbach array based on finite element method and experiment G Zhang, J Chen, Z Zhang, M Sun, Y Yu, J Wang, S Cai Smart Materials and Structures 31 (7), 075008, 2022 | 77 | 2022 |
Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control X Gu, Y Yu, Y Li, J Li, M Askari, B Samali Mechanical Systems and Signal Processing 119, 380-398, 2019 | 75 | 2019 |
The influence of the temperature on the dynamic behaviors of magnetorheological gel G Zhang, Z Zhang, M Sun, Y Yu, J Wang, S Cai Advanced Engineering Materials 24 (9), 2101680, 2022 | 73 | 2022 |
Back-propagation neural network optimized by K-fold cross-validation for prediction of torsional strength of reinforced Concrete beam Z Lyu, Y Yu, B Samali, M Rashidi, M Mohammadi, TN Nguyen, A Nguyen Materials 15 (4), 1477, 2022 | 71 | 2022 |
Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network Y Yu, S Liang, B Samali, TN Nguyen, C Zhai, J Li, X Xie Engineering Structures 273, 115066, 2022 | 64 | 2022 |
Nonparametric modeling of magnetorheological elastomer base isolator based on artificial neural network optimized by ant colony algorithm Y Yu, Y Li, J Li Journal of Intelligent Material Systems and Structures 26 (14), 1789-1798, 2015 | 60 | 2015 |
A hysteresis model for dynamic behaviour of magnetorheological elastomer base isolator Y Yu, Y Li, J Li, X Gu Smart Materials and Structures 25 (5), 055029, 2016 | 57 | 2016 |
Parameter identification and sensitivity analysis of an improved LuGre friction model for magnetorheological elastomer base isolator Y Yu, Y Li, J Li Meccanica 50, 2691-2707, 2015 | 57 | 2015 |
A fast and robust open-switch fault diagnosis method for variable-speed PMSM system X Zhou, J Sun, P Cui, Y Lu, M Lu, Y Yu IEEE Transactions on Power Electronics 36 (3), 2598-2610, 2020 | 54 | 2020 |
Parameter identification of a novel strain stiffening model for magnetorheological elastomer base isolator utilizing enhanced particle swarm optimization Y Yu, Y Li, J Li Journal of Intelligent Material Systems and Structures 26 (18), 2446-2462, 2015 | 54 | 2015 |
Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory Y Yu, U Dackermann, J Li, E Niederleithinger Structural Health Monitoring 18 (1), 123-142, 2019 | 52 | 2019 |
Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion Y Yu, J Li, J Li, Y Xia, Z Ding, B Samali Developments in the Built Environment 14, 100128, 2023 | 51 | 2023 |
Damage identification of steel-concrete composite beams based on modal strain energy changes through general regression neural network F Sadeghi, Y Yu, X Zhu, J Li Engineering Structures 244, 112824, 2021 | 44 | 2021 |