Towards probabilistic data‐driven damage detection in SHM using sparse Bayesian learning scheme
Despite continuous evolution and development of structural health monitoring (SHM)
technology, interpreting a huge amount of sensed data from a sophisticated SHM system to …
technology, interpreting a huge amount of sensed data from a sophisticated SHM system to …
Rapid seismic fragility curves assessment of eccentrically braced frames through an output-only nonmodel-based procedure and machine learning techniques
A nonmodel and output-only-based framework incorporating an Auto-Regressive model and
roof absolute acceleration response are hired in this study to compute a robust wavelet …
roof absolute acceleration response are hired in this study to compute a robust wavelet …
Uncertainty quantification in operational modal analysis of time-varying structures based on time-dependent autoregressive moving average model
J Kang, S Zeng - Journal of Sound and Vibration, 2023 - Elsevier
The identified modal parameters in Operational Modal Analysis (OMA) are always subject to
statistical uncertainties from many sources and the uncertainty is also important to assess …
statistical uncertainties from many sources and the uncertainty is also important to assess …
Estimation of time-varying noise parameters for unscented Kalman filter
The unscented Kalman filter (UKF) is a promising method for system state and structural
parameters estimation. However, its performance depends on the process noise and …
parameters estimation. However, its performance depends on the process noise and …
Assessing uncertainty in fast Bayesian modal identification based on seismic structural responses
YC Ni, HF Lam, FL Zhang - Mechanical Systems and Signal Processing, 2023 - Elsevier
Modal identification is an important step to evaluate the basic modal properties of structures
using measured data. In this process, the existence of modeling error and measurement …
using measured data. In this process, the existence of modeling error and measurement …
A lightweight stochastic subspace identification-based modal parameters identification method of time-varying structural systems
The application of stochastic subspace identification (SSI) on identifying structural time-
varying modal parameters suffers from the shortcomings of poor computational efficiency …
varying modal parameters suffers from the shortcomings of poor computational efficiency …
Uncertainty quantification in fast Bayesian modal identification using forced vibration data considering the ambient effect
YC Ni, FL Zhang - Mechanical Systems and Signal Processing, 2021 - Elsevier
A Bayesian framework for modal identification using forced vibration data considering the
ambient effect has been developed and a fast algorithm has been proposed to identify the …
ambient effect has been developed and a fast algorithm has been proposed to identify the …
An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition
ZY Fu, MO Adeagbo, HF Lam - International Journal of …, 2023 - scholars.cityu.edu.hk
The structural dynamic response reconstruction of large-scale civil engineering structures
using traditional methods results in heavy computational burden with low efficiency. To …
using traditional methods results in heavy computational burden with low efficiency. To …
[图书][B] Vibration testing and applications in system identification of civil engineering structures
HF Lam, JH Yang - 2022 - taylorfrancis.com
This book covers vibration testing and identification of dynamic structural systems. It starts
from the fundamentals of structural dynamics, and covers the methods of modal analysis and …
from the fundamentals of structural dynamics, and covers the methods of modal analysis and …
Parameter identification of fractional order CARMA model based on least squares principle
J Rui, J Li - International Journal of Computer Applications …, 2022 - inderscienceonline.com
The fractional order model is more accurate than the integer order model when describing
the actual system. This paper studies the fractional order CARMA model identification, and …
the actual system. This paper studies the fractional order CARMA model identification, and …