State-of-the-art review on modal identification and damage detection of bridges by moving test vehicles
In 2004, Yang and co-workers proposed the extraction of bridge frequencies from the
dynamic response of a moving test vehicle [YB Yang, CW Lin and JD Yau, Extracting bridge …
dynamic response of a moving test vehicle [YB Yang, CW Lin and JD Yau, Extracting bridge …
Sampling methods for solving Bayesian model updating problems: A tutorial
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …
context of Bayesian model updating for engineering applications. Markov Chain Monte …
Operational modal analysis
SK Au - Modeling, Bayesian Inference, Uncertainty laws …, 2017 - Springer
Operational modal analysis (OMA) aims at identifying the modal properties (natural
frequencies, damping ratios, mode shapes, etc.) of a structure using vibration response …
frequencies, damping ratios, mode shapes, etc.) of a structure using vibration response …
Bayesian multi-task learning methodology for reconstruction of structural health monitoring data
HP Wan, YQ Ni - Structural Health Monitoring, 2019 - journals.sagepub.com
Reconstruction of structural health monitoring data is a challenging task, since it involves
time series data forecasting especially in the case with a large block of missing data. In this …
time series data forecasting especially in the case with a large block of missing data. In this …
Vibration-based Bayesian model updating of an actual steel truss bridge subjected to incremental damage
As the finite element (FE) model has become increasingly important in engineering, the
model updating method has also received much attention as a means of improving the …
model updating method has also received much attention as a means of improving the …
Adaptive Kalman filters for nonlinear finite element model updating
This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where,
in addition to nonlinear model parameters, the covariance matrix of measurement noise is …
in addition to nonlinear model parameters, the covariance matrix of measurement noise is …
Joint parameter-input estimation for digital twinning of the Block Island wind turbine using output-only measurements
This paper presents a recursive Bayesian inference framework for digital twinning of an
offshore wind turbine (OWT) in the Block Island Wind Farm (BIWF), the first commercial …
offshore wind turbine (OWT) in the Block Island Wind Farm (BIWF), the first commercial …
[HTML][HTML] Structural instrumentation and monitoring of the block island offshore wind farm
This work presents the design and installation of a continuous monitoring system for one of
the offshore wind turbines in the Block Island Wind Farm, which is located 6.1 km off the …
the offshore wind turbines in the Block Island Wind Farm, which is located 6.1 km off the …
Real-time Bayesian damage identification enabled by sparse PCE-Kriging meta-modelling for continuous SHM of large-scale civil engineering structures
E García-Macías, F Ubertini - Journal of Building Engineering, 2022 - Elsevier
This work presents a surrogate model-based Bayesian model updating (BMU) approach for
automated damage identification of large-scale structures, which outperforms methods …
automated damage identification of large-scale structures, which outperforms methods …
Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions
In this study, a general frame of the forward and inverse structural uncertainty propagations
(UPs) based on the dimension reduction (DR) method and the derivative lambda probability …
(UPs) based on the dimension reduction (DR) method and the derivative lambda probability …