Bayesian operational modal analysis: theory, computation, practice SK Au, FL Zhang, YC Ni Computers & Structures 126, 3-14, 2013 | 232 | 2013 |
Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach FL Zhang, HB Xiong, WX Shi, X Ou Structural Control and Health Monitoring 23 (11), 1366-1384, 2016 | 136 | 2016 |
Field observations on modal properties of two tall buildings under strong wind SK Au, FL Zhang, P To Journal of Wind Engineering and Industrial Aerodynamics 101, 12-23, 2012 | 104 | 2012 |
Fundamental two-stage formulation for Bayesian system identification, Part I: General theory SK Au, FL Zhang Mechanical Systems and Signal Processing 66, 31-42, 2016 | 99 | 2016 |
Fundamental two-stage formulation for Bayesian system identification, Part II: Application to ambient vibration data FL Zhang, SK Au Mechanical Systems and Signal Processing 66, 43-61, 2016 | 93 | 2016 |
Ambient modal identification of a primary–secondary structure by Fast Bayesian FFT method SK Au, FL Zhang Mechanical Systems and Signal Processing 28, 280-296, 2012 | 83 | 2012 |
Fast Bayesian ambient modal identification incorporating multiple setups SK Au, FL Zhang Journal of Engineering Mechanics 138 (7), 800-815, 2012 | 78 | 2012 |
On assessing the posterior mode shape uncertainty in ambient modal identification SK Au, FL Zhang Probabilistic Engineering Mechanics 26 (3), 427-434, 2011 | 73 | 2011 |
Fast Bayesian approach for modal identification using free vibration data, Part I–Most probable value FL Zhang, YC Ni, SK Au, HF Lam Mechanical Systems and Signal Processing 70, 209-220, 2016 | 71 | 2016 |
Operational modal identification of a boat-shaped building by a Bayesian approach HF Lam, FL Zhang, YC Ni, J Hu Engineering Structures 138, 381-393, 2017 | 67 | 2017 |
Full-scale dynamic testing and modal identification of a coupled floor slab system SK Au, YC Ni, FL Zhang, HF Lam Engineering Structures 37, 167-178, 2012 | 67 | 2012 |
Assessing uncertainty in operational modal analysis incorporating multiple setups using a Bayesian approach FL Zhang, SK Au, HF Lam Structural Control and Health Monitoring 22 (3), 395-416, 2015 | 63 | 2015 |
Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method FL Zhang, YQ Ni, YC Ni, YW Wang Smart Struct Syst 17 (2), 209-230, 2016 | 58 | 2016 |
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 | 53 | 2019 |
Bayesian structural model updating using ambient vibration data collected by multiple setups FL Zhang, YC Ni, HF Lam Structural Control and Health Monitoring 24 (12), e2023, 2017 | 52 | 2017 |
Damage localization of cable‐supported bridges using modal frequency data and probabilistic neural network XT Zhou, YQ Ni, FL Zhang Mathematical Problems in Engineering 2014 (1), 837963, 2014 | 47 | 2014 |
Vibration-based Bayesian model updating of an actual steel truss bridge subjected to incremental damage X Zhou, CW Kim, FL Zhang, KC Chang Engineering Structures 260, 114226, 2022 | 46 | 2022 |
Efficient Bayesian FFT method for damage detection using ambient vibration data with consideration of uncertainty FL Zhang, CW Kim, Y Goi Structural Control and Health Monitoring 28 (2), e2659, 2021 | 45 | 2021 |
Markov chain Monte Carlo-based Bayesian model updating of a sailboat-shaped building using a parallel technique HF Lam, J Hu, FL Zhang, YC Ni Engineering Structures 193, 12-27, 2019 | 44 | 2019 |
Ambient and vehicle-induced vibration data of a steel truss bridge subject to artificial damage CW Kim, FL Zhang, KC Chang, PJ McGetrick, Y Goi Journal of Bridge Engineering 26 (7), 04721002, 2021 | 41 | 2021 |