Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
Vibration-based tests and results for the evaluation of infill masonry walls influence on the dynamic behaviour of buildings: a review
V Nicoletti, D Arezzo, S Carbonari, F Gara - Archives of Computational …, 2022 - Springer
Tests on infill masonry walls have been widely performed by many researchers and for a
long time with the main purpose of characterising the infill performance under earthquake …
long time with the main purpose of characterising the infill performance under earthquake …
Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
For the last decades vibration based damage detection of engineering structures has
become an important issue for maintenance operations on transport infrastructure. Research …
become an important issue for maintenance operations on transport infrastructure. Research …
Structural health monitoring: An IoT sensor system for structural damage indicator evaluation
M Muttillo, V Stornelli, R Alaggio, R Paolucci… - Sensors, 2020 - mdpi.com
In the last decades, the applications of structural monitoring are moving toward the field of
civil engineering and infrastructures. Nevertheless, if the structures have damages, it does …
civil engineering and infrastructures. Nevertheless, if the structures have damages, it does …
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 …
Sensitivity analysis of subspace-based damage indicators under changes in ambient excitation covariance, severity and location of damage
It is common practice in Structural Health Monitoring (SHM) to perform damage detection by
detecting changes in subspace-based damage indicators. They are computed by comparing …
detecting changes in subspace-based damage indicators. They are computed by comparing …
A reliability-based approach to determine the minimum detectable damage for statistical damage detection
This paper derives a formula to determine the minimum detectable damage based on
ambient vibration data. It is a key element to analyze which damage scenarios can be …
ambient vibration data. It is a key element to analyze which damage scenarios can be …
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 …
Determination of structural and damage detection system influencing parameters on the value of information
A method to determine the influencing parameters of a structural and damage detection
system is proposed based on the value of information analysis. The value of information …
system is proposed based on the value of information analysis. The value of information …
Uncertainty quantification for the Modal Phase Collinearity of complex mode shapes
Abstract The Modal Phase Collinearity (MPC) is a modal indicator designed to decide
whether the mode shape used in its computation is a real or complex-valued vector. Its …
whether the mode shape used in its computation is a real or complex-valued vector. Its …