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Yang Yu
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年份
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
2872019
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
1622011
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
1482018
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
1162022
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
1072022
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
1002021
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
802017
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
772022
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
752019
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
732022
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
712022
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
642022
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
602015
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
572016
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
572015
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
542020
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
542015
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
522019
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
512023
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
442021
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