Recent advances in researches on vehicle scanning method for bridges
The vehicle scanning method (VSM), an indirect approach for bridge measurement, has
attracted intensive attention since it was proposed by Yang and co-workers in 2004. This …
attracted intensive attention since it was proposed by Yang and co-workers in 2004. This …
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 …
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 …
An efficient and robust sampler for Bayesian inference: Transitional ensemble Markov chain Monte Carlo
Bayesian inference is a popular approach towards parameter identification in engineering
problems. Such technique would involve iterative sampling methods which are often robust …
problems. Such technique would involve iterative sampling methods which are often robust …
A transfer Bayesian learning methodology for structural health monitoring of monumental structures
A critical aspect in structural health monitoring (SHM) applied to civil engineering structures
is the lack of diagnostic labels able to assign a damage class to the measured data. In this …
is the lack of diagnostic labels able to assign a damage class to the measured data. In this …
Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems
The fundamental problem of Bayesian model updating is identifying the posterior probability
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
Autoregressive spectrum-guided variational mode decomposition for time-varying modal identification under nonstationary conditions
XJ Yao, TH Yi, CX Qu - Engineering Structures, 2022 - Elsevier
Modal identification is an important research subject in structural health monitoring. It is a
mature subject for modal identification of time-invariant and stationary conditions. Because …
mature subject for modal identification of time-invariant and stationary conditions. Because …
Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters
C Fang, HJ Liu, HF Lam, MO Adeagbo, HY Peng - Engineering Structures, 2022 - Elsevier
Bayesian model updating framework provides a reliable method for building high-fidelity
finite element models (FEMs). To realize the efficient model updating of large-scale civil …
finite element models (FEMs). To realize the efficient model updating of large-scale civil …
An Interpretable Method for Operational Modal Analysis in Time‐Frequency Representation and Its Applications to Railway Sleepers
Operational modal analysis (OMA) enables the identification of modal characteristics under
operational loads and conditions. Traditional frequency‐domain methods cannot directly …
operational loads and conditions. Traditional frequency‐domain methods cannot directly …
Bayesian inference for the dynamic properties of long-span bridges under vortex-induced vibration with Scanlan's model and dense optical flow scheme
The dynamic properties of long-span bridges with flexible and light-weight features are of
critical importance in safety assessment and response prediction. The primary concern of …
critical importance in safety assessment and response prediction. The primary concern of …