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Jia-Hua YANG, Java
Jia-Hua YANG, Java
Assistant Professor, Department of Disaster Mitigation for Structures, College of Civil Engineering
Verified email at tongji.edu.cn - Homepage
Title
Cited by
Cited by
Year
Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm
HF Lam, J Yang, SK Au
Engineering Structures 102, 144-155, 2015
1572015
Bayesian operational modal analysis and Markov chain Monte Carlo-based model updating of a factory building
HF Lam, J Hu, JH Yang
Engineering Structures 132, 314-336, 2017
882017
Markov chain Monte Carlo‐based Bayesian method for structural model updating and damage detection
HF Lam, JH Yang, SK Au
Structural Control and Health Monitoring 25 (4), e2140, 2018
742018
Ambient vibration test, modal identification and structural model updating following Bayesian framework
J Yang, HF Lam, J Hu
International Journal of Structural Stability and Dynamics 15 (07), 1540024, 2015
642015
Structural health monitoring of a 250‐m super‐tall building and operational modal analysis using the fast Bayesian FFT method
FL Zhang, YP Yang, HB Xiong, JH Yang, Z Yu
Structural Control and Health Monitoring 26 (8), e2383, 2019
492019
Bayesian structural damage detection of steel towers using measured modal parameters
HF Lam, J Yang
Earthquakes and Structures 8 (4), 935-956, 2015
482015
Identification of rail-sleeper-ballast system through time-domain Markov chain Monte Carlo-based Bayesian approach
HF Lam, SA Alabi, JH Yang
Engineering Structures 140, 421-436, 2017
462017
An efficient adaptive sequential M onte C arlo method for B ayesian model updating and damage detection
JH Yang, HF Lam
Structural Control and Health Monitoring 25 (12), e2260, 2018
402018
Operational modal identification and finite element model updating of a coupled building following B ayesian approach
J Hu, HF Lam, JH Yang
Structural control and health monitoring 25 (2), e2089, 2018
332018
An innovative Bayesian system identification method using autoregressive model
JH Yang, HF Lam
Mechanical Systems and Signal Processing 133, 106289, 2019
272019
Railway ballast damage detection by Markov chain Monte Carlo-based Bayesian method
HF Lam, JH Yang, Q Hu, CT Ng
Structural Health Monitoring 17 (3), 706-724, 2018
272018
Bayes-Mode-ID: A Bayesian modal-component-sampling method for operational modal analysis
JH Yang, HF Lam, JL Beck
Engineering Structures 189, 222-240, 2019
192019
Bayesian operational modal analysis and assessment of a full-scale coupled structural system using the Bayes-Mode-ID method
HF Lam, JH Yang, JL Beck
Engineering Structures 186, 183-202, 2019
162019
Operational modal analysis and Bayesian model updating of a coupled building
J Hu, JH Yang
International Journal of Structural Stability and Dynamics 19 (01), 1940012, 2019
152019
How to install sensors for structural model updating?
HF Lam, JH Yang, Q Hu
Procedia engineering 14, 450-459, 2011
152011
Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems
JH Yang, HF Lam, YH An
Engineering Structures 270, 114836, 2022
112022
Vibration testing and applications in system identification of civil engineering structures
HF Lam, JH Yang
CRC Press, 2022
62022
Structural modal identification and MCMC-based model updating by a Bayesian approach
FL Zhang, YP Yang, XW Ye, JH Yang, BK Han
Smart Structures and Systems, An International Journal 24 (5), 631-639, 2019
52019
A Markov chain Monte Carlo-based Bayesian framework for system identification and uncertainty estimation of full-scale structures
ZY Liu, JH Yang, HF Lam, LX Peng
Engineering Structures 295, 116886, 2023
22023
An efficient method for Bayesian system identification based on Markov chain Monte Carlo simulation
JH Yang
International Journal of Lifecycle Performance Engineering 3 (1), 20-34, 2019
22019
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