Ling Yu

发表

Moving force identification based on redundant concatenated dictionary and weighted l 1 -norm regularization

Chudong Pan, Ling Yu, Huanlin Liu, 2018 .

Identification of vehicle axle loads from bridge responses using preconditioned least square QR-factorization algorithm

Zhen Chen, T. Chan, Ling Yu, 2019, Mechanical Systems and Signal Processing.

Identification of moving vehicle forces on bridge structures via moving average Tikhonov regularization

Chudong Pan, Ling Yu, Huanlin Liu, 2017 .

Use of FBG Optical Sensors for Structural Health Monitoring: Practical Application

H. Tam, Y. Ni, W. Chung, 2005 .

An eigenspace projection clustering method for structural damage detection

Ling Yu, Jun-hua Zhu, Li-Li Yu, 2012 .

Structural Damage Detection of Truss Bridge under Environmental Variability

Ling Yu, Jun-hua Zhu, 2015 .

Comparative studies on regularization penalties for structural damage detection

Ling Yu, Ziwei Luo, 2019 .

Structural Damage Detection via a Combination of Pso and Bayesian Reliability Analysis *

Ling Yu, Zepeng Chen, 2016 .

A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection

Ling Yu, Chudong Pan, Huan-Lin Liu, 2016 .

A semi-convex function for both constant and time-varying moving force identification

Ling Yu, Ziwei Luo, Huanlin Liu, 2021 .

Recent research on identification of moving loads on bridges

Tommy H.T. Chan, Tommy H.T. Chan, Ling Yu, 2007 .

Moving Force Identification Studies II: Comparative Studies

Siu-Seong Law, Tommy H.T. Chan, Ling Yu, 2001 .

Comparative studies on moving force identification from bridge strains in laboratory

Siu-Seong Law, Tommy H.T. Chan, Ling Yu, 2000 .

Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge : Background and experimental observation

Tommy H.T. Chan, Hwa-Yaw Tam, Yi-Qing Ni, 2006 .

A hybrid ant lion optimizer with improved Nelder–Mead algorithm for structural damage detection by improving weighted trace lasso regularization

Ling Yu, Chengbin Chen, Ling Yu, 2020, Advances in Structural Engineering.

A new structural damage detection strategy of hybrid PSO with Monte Carlo simulations and experimental verifications

Ling Yu, Zepeng Chen, Ling Yu, 2018, Measurement.

A novel PSO-based algorithm for structural damage detectionusing Bayesian multi-sample objective function

Ling Yu, Ling Yu, Ze-peng Chen, 2017 .

An Improved PSO-NM Algorithm for Structural Damage Detection

Ling Yu, Zepeng Chen, Ling Yu, 2016, ICSI.

Optimal Sensor Placement Based on Tabu Search Algorithms

Ling Yu, Jie Zi Zhan, Ling Yu, 2014 .

Structural Damage Detection by Fusion of GA and PSO

Ling Yu, Yong Ming Fu, Ling Yu, 2014 .

A Global Artificial Fish Swarm Algorithm for Structural Damage Detection

Cheng Li, Ling Yu, Ling Yu, 2014 .

Optimal Sensor Placement Based on MAC and SPGA Algorithms

Ling Yu, Yong Ming Fu, Ling Yu, 2012 .

A SI-Based Algorithm for Structural Damage Detection

Xi Chen, Peng Xu, Ling Yu, 2012, ICSI.

Structural damage detection via adaptive dictionary learning and sparse representation of measured acceleration responses

Ling Yu, Chudong Pan, Zepeng Chen, 2018, Measurement.

Damage Identification in Frame Structures Based on FE Model Updating

Tao Yin, Ling Yu, T. Yin, 2010 .

A novel preconditioned range restricted GMRES algorithm for moving force identification and its experimental validation

Tommy H.T. Chan, Ling Yu, Zhen Chen, 2021 .

Structural Nonlinear Damage Identification Algorithm Based on Time Series ARMA/GARCH Model

Ling Yu, Liu-Jie Chen, Ling Yu, 2013 .

A novel WOA-based structural damage identification using weighted modal data and flexibility assurance criterion

Ling Yu, Zexiang Chen, Ling Yu, 2020 .

Structural damage detection via combining weighted strategy with trace Lasso

Ling Yu, Chudong Pan, Zepeng Chen, 2018, Advances in Structural Engineering.

Moving Force Identification : Practice and Review

Tommy H.T. Chan, Ling Yu, D. Y. Xu, 2005 .

Structural Damage Detection in a Truss Bridge Model Using Fuzzy Clustering and Measured FRF Data Reduced by Principal Component Projection

Ling Yu, Jun-Hua Zhu, Li-Li Yu, 2013 .

Sparse regularization for traffic load monitoring using bridge response measurements

Ling Yu, Huan-Lin Liu, Jiwei Zhong, 2019, Measurement.

Sparse regularization-based damage detection in a bridge subjected to unknown moving forces

Ling Yu, Chudong Pan, Chudong Pan, 2019, Journal of Civil Structural Health Monitoring.

Compressed sensing for moving force identification using redundant dictionaries

Ling Yu, Chudong Pan, Huan-Lin Liu, 2020 .

Identification of external forces via truncated response sparse decomposition under unknown initial conditions

Ling Yu, Chudong Pan, Chudong Pan, 2019, Advances in Structural Engineering.

Parametric study on PCA-based algorithm for structural health monitoring

Ling Yu, Jun-hua Zhu, Liu-jie Chen, 2010, 2010 Prognostics and System Health Management Conference.

Nonlinear damage detection using linear ARMA models with classification algorithms

Ling Yu, Ching-Tai Ng, Liujie Chen, 2020 .

Multi-strategy structural damage detection based on included angle of vectors and sparse regularization

Ling Yu, Huan-Lin Liu, Zexiang Chen, 2020 .

Moving force identification from bending moment responses of bridge

Tommy H.T. Chan, Ling Yu, T. Chan, 2002 .

An Effective Independence-Improved Modal Strain Energy Method for Optimal Sensor Placement of Bridge Structures

Ling Yu, Jie Zi Zhan, Ling Yu, 2014 .

Comparison of regularization methods for moving force identification with ill-posed problems

Tommy H.T. Chan, Ling Yu, Zhen Chen, 2020 .

Moving Force Identification based on the Frequency-Time Domain Method

Tommy H.T. Chan, Ling Yu, T. Chan, 2003 .