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PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model Journal article
Yan, Wang Ji, Zhan, Jiang Zheng, Yuen, Ka Veng, Ren, Wei Xin, Papadimitriou, Costas. PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model[J]. Engineering Structures, 2024, 318, 118578.
Authors:  Yan, Wang Ji;  Zhan, Jiang Zheng;  Yuen, Ka Veng;  Ren, Wei Xin;  Papadimitriou, Costas
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/5.8 | Submit date：2024/08/30
Bayesian Inference  High-speed Railway  Metamodel  Model Updating  Vehicle-track Coupling Dynamical System  
Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response Journal article
Feng, Zhouquan, Zhang, Jiren, Xuan, Xinyan, Wang, Yafei, Hua, Xugang, Chen, Zhengqing, Yan, Wangji. Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response[J]. Engineering Structures, 2024, 315, 118477.
Authors:  Feng, Zhouquan;  Zhang, Jiren;  Xuan, Xinyan;  Wang, Yafei;  Hua, Xugang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/5.8 | Submit date：2024/08/05
Bayesian Inference  Damping Ratios  Free Vibration  Modal Identification  Stay Cables  Time Domain  Uncertainty Quantification  
Behavior of 3D-printed HPC plates with FRP grid reinforcement under bending Journal article
Jun-Jie Zeng, Pei-Lin Li, Zi-Tong Yan, Jie-Kai Zhou, Wai-Meng Quach, Yan Zhuge. Behavior of 3D-printed HPC plates with FRP grid reinforcement under bending[J]. ENGINEERING STRUCTURES, 2023, 294, 116578.
Authors:  Jun-Jie Zeng;  Pei-Lin Li;  Zi-Tong Yan;  Jie-Kai Zhou;  Wai-Meng Quach; et al.
Favorite | TC[WOS]:8 TC[Scopus]:9  IF:5.6/5.8 | Submit date：2023/08/25
Fiber-reinforced Polymer (Frp)  3d Concrete Printing  Frp Grid  Flexural Behavior  High-performance Concrete (Hpc)  
Global instability of cold-formed steel elliptical hollow section members under combined compression and biaxial bending Journal article
Ye Yao, Wai Meng Quach, Ben Young. Global instability of cold-formed steel elliptical hollow section members under combined compression and biaxial bending[J]. Engineering Structures, 2023, 291, 116415.
Authors:  Ye Yao;  Wai Meng Quach;  Ben Young
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:5.6/5.8 | Submit date：2023/08/03
Beam-columns  Cold-forming  Combined Compression And Biaxial Bending  Elliptical Hollow Section  Global Instability  Numerical Modeling  
Reinforcing strategies of CFRP plate for coped steel beams against local buckling Journal article
Lam, Chi Chiu, Zhang, Yufei, Gu, Jiaming, Cai, Jingming. Reinforcing strategies of CFRP plate for coped steel beams against local buckling[J]. Engineering Structures, 2023, 275, 115227.
Authors:  Lam, Chi Chiu;  Zhang, Yufei;  Gu, Jiaming;  Cai, Jingming
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:5.6/5.8 | Submit date：2023/02/08
Cfrp Plate  Coped Beam  Finite Element Model  Local Buckling  Reinforcing Strategies  
Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge Journal article
Tianyu Wang, Huile Li, Mohammad Noori, Ramin Ghiasi, Sin-Chi Kuok, Wael A. Altabey. Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge[J]. Engineering Structures, 2023, 279, 115576.
Authors:  Tianyu Wang;  Huile Li;  Mohammad Noori;  Ramin Ghiasi;  Sin-Chi Kuok; et al.
Favorite | TC[WOS]:13 TC[Scopus]:22  IF:5.6/5.8 | Submit date：2023/04/03
Runge-kutta Recurrent Neural Network  Prior Knowledge  Response Prediction  Seismic Excitation  Nonlinear Structural System  
Time-frequency fusion features-based incremental network for smartphone measured structural seismic response classification Journal article
Yang Zhang, Ka-Veng Yuen. Time-frequency fusion features-based incremental network for smartphone measured structural seismic response classification[J]. ENGINEERING STRUCTURES, 2023, 278, 115575.
Authors:  Yang Zhang;  Ka-Veng Yuen
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:5.6/5.8 | Submit date：2023/04/03
Fusion Features  Incremental Learning  Seismic Response  Time-frequency  
Experimental study on additive manufactured 304L stainless steel tubular sections: Material properties and cross-sectional behavior Journal article
Ran Feng, Jing-Pu Tang, Wai-Meng Quach, Ming Yan, Jing Zhao. Experimental study on additive manufactured 304L stainless steel tubular sections: Material properties and cross-sectional behavior[J]. ENGINEERING STRUCTURES, 2022, 273, 115093.
Authors:  Ran Feng;  Jing-Pu Tang;  Wai-Meng Quach;  Ming Yan;  Jing Zhao
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:3.7/4.0 | Submit date：2023/01/30
Additive Manufacturing (Am)  Selective Laser Melting (Slm)  304l Stainless Steel  Stub Column  Tubular Section  
Timber damage identification using dynamic broad network and ultrasonic signals Journal article
Zhang, Yang, Yuen, Ka Veng, Mousavi, Mohsen, Gandomi, Amir H.. Timber damage identification using dynamic broad network and ultrasonic signals[J]. Engineering Structures, 2022, 263, 114418.
Authors:  Zhang, Yang;  Yuen, Ka Veng;  Mousavi, Mohsen;  Gandomi, Amir H.
Favorite | TC[WOS]:13 TC[Scopus]:15  IF:5.6/5.8 | Submit date：2022/06/14
Broad Network  Damage Identification  Timber  Ultrasonic Signal  
A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information Journal article
Mu, He Qing, Shen, Ji Hui, Zhao, Zi Tong, Liu, Han Teng, Yuen, Ka Veng. A novel generative approach for modal frequency probabilistic prediction under varying environmental condition using incomplete information[J]. Engineering Structures, 2022, 252(113571).
Authors:  Mu, He Qing;  Shen, Ji Hui;  Zhao, Zi Tong;  Liu, Han Teng;  Yuen, Ka Veng
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:5.6/5.8 | Submit date：2022/03/04
Bayesian Inference  Copula  Model Class Selection  Multivariate Probability Density Function  Structural Health Monitoring