Seismic assessment of bridges through structural health monitoring: a state-of-the-art review
C Karakostas, G Quaranta, E Chatzi, AC Zülfikar… - Bulletin of Earthquake …, 2024 - Springer
The present work offers a comprehensive overview of methods related to condition
assessment of bridges through Structural Health Monitoring (SHM) procedures, with a …
assessment of bridges through Structural Health Monitoring (SHM) procedures, with a …
Sensor placement with optimal damage detectability for statistical damage detection
Damage diagnosis based on global structural vibrations critically depends on the sensor
layout, in particular when a small number of sensors is used for large structures under …
layout, in particular when a small number of sensors is used for large structures under …
Localizability of damage with statistical tests and sensitivity-based parameter clusters
Damage localization based on ambient vibration data in combination with finite element
models can be challenging, in particular due to the large number of parameters in the model …
models can be challenging, in particular due to the large number of parameters in the model …
Deep learning architectures for data-driven damage detection in nonlinear dynamic systems under random vibrations
The primary goal of structural health monitoring is to detect damage at its onset before it
reaches a critical level. In the present work an in-depth investigation addresses deep …
reaches a critical level. In the present work an in-depth investigation addresses deep …
[HTML][HTML] Low-rank approximation of Hankel matrices in denoising applications for statistical damage diagnosis of wind turbine blades
Abstract Model order selection is a fundamental task in subspace identification for estimation
of modal parameters, uncertainty propagation and damage diagnosis. However, the true …
of modal parameters, uncertainty propagation and damage diagnosis. However, the true …
Predictive probability of detection curves based on data from undamaged structures
This paper develops a model-assisted approach for determining predictive probability of
detection curves. The approach is “model-assisted,” as the damage-sensitive features are …
detection curves. The approach is “model-assisted,” as the damage-sensitive features are …
A data‐driven combined deterministic‐stochastic subspace identification method for condition assessment of roof structures subjected to strong winds
X Liu, HP Wan, Y Luo, C Yang - Structural Control and Health …, 2022 - Wiley Online Library
The roof of a large‐span structure is vulnerable to strong winds, and thus, wind‐induced
damage of the roof happens occasionally. Structural condition assessment from structural …
damage of the roof happens occasionally. Structural condition assessment from structural …
Minimum detectable changes based on linear Bayesian filters
This article proposes a method to assess the minimum detectable changes in system
parameters based on Bayesian inference. The approach considers the monitored …
parameters based on Bayesian inference. The approach considers the monitored …
On the probability of localizing damages based on mode shape changes
Obtaining reliable diagnosis results based on modal parameter changes is a challenge due
to their low sensitivity to local damages and uncertainties related to their estimation …
to their low sensitivity to local damages and uncertainties related to their estimation …
Statistical damage detection and localization with Mahalanobis distance applied to modal parameters
Damage detection and damage localization constitute two pillars of Structural Health
Monitoring that are highly relevant for applications to large-scale structures. Damage …
Monitoring that are highly relevant for applications to large-scale structures. Damage …