Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …
decades. Although several reviews have been presented, some new developments have …
Review on vibration-based structural health monitoring techniques and technical codes
Y Yang, Y Zhang, X Tan - Symmetry, 2021 - mdpi.com
Structural damages occur in modern structures during operations due to environmental and
human factors. The damages accumulating with time may lead to a significant decrease in …
human factors. The damages accumulating with time may lead to a significant decrease in …
Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications
The difficulty of achieving controlled input has led to the development of new output-only
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …
Constructing simplified models for dynamic analysis of monopile-supported offshore wind turbines
Accurately modeling the complicated dynamic mechanisms of offshore wind turbines
(OWTs) requires high numerical fidelity. However, since these models are computationally …
(OWTs) requires high numerical fidelity. However, since these models are computationally …
Recent progress and future trends on damage identification methods for bridge structures
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …
the‐art review papers regarding progress in this field up to 2011 have been published. This …
Substructure approach for Bayesian probabilistic model updating using response reconstruction technique
In recent years, several substructural identification methods have been developed for
structural health monitoring. Most of these methods are deterministic, and unknown …
structural health monitoring. Most of these methods are deterministic, and unknown …
An enhanced substructure-based response sensitivity method for finite element model updating of large-scale structures
Finite element model updating is significant in damage detection, parameter identification
and structural control, yet practical applications to large-scale structure reveal a major defect …
and structural control, yet practical applications to large-scale structure reveal a major defect …
Machine learning approach to model order reduction of nonlinear systems via autoencoder and LSTM networks
In analyzing and assessing the condition of dynamical systems, it is necessary to account for
nonlinearity. Recent advances in computation have rendered previously computationally …
nonlinearity. Recent advances in computation have rendered previously computationally …
Accounting for environmental variability, modeling errors, and parameter estimation uncertainties in structural identification
This paper presents a Hierarchical Bayesian model updating framework to account for the
effects of ambient temperature and excitation amplitude. The proposed approach is applied …
effects of ambient temperature and excitation amplitude. The proposed approach is applied …
Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition
A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …