Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications

WJ Yan, MY Zhao, Q Sun, WX Ren - Mechanical Systems and Signal …, 2019 - Elsevier
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 …

Damage localization using transmissibility functions: A critical review

S Chesné, A Deraemaeker - Mechanical systems and signal processing, 2013 - Elsevier
This paper deals with the use of transmissibility functions for damage localization. The first
part is dedicated to a critical review of the state-of-the-art highlighting the major difficulties …

Detecting structural damage under unknown seismic excitation by deep convolutional neural network with wavelet-based transmissibility data

Y Lei, Y Zhang, J Mi, W Liu… - Structural Health …, 2021 - journals.sagepub.com
Many research groups in the structural health monitoring community have made efforts to
utilize deep learning-based approaches for damage detection on a variety of structures …

Deep Convolutional Neural Network‐Based Structural Damage Localization and Quantification Using Transmissibility Data

S Cofre-Martel, P Kobrich, E Lopez Droguett… - Shock and …, 2019 - Wiley Online Library
Damage diagnosis has become a valuable tool for asset management, enhanced by
advances in sensor technologies that allows for system monitoring and providing massive …

Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme

WJ Yan, D Chronopoulos, KV Yuen, YC Zhu - Mechanical Systems and …, 2022 - Elsevier
As a mathematical representation of the output-to-output relationship, transmissibility
function (TF) has been extensively applied in structural damage detection due to its …

A data-driven damage identification framework based on transmissibility function datasets and one-dimensional convolutional neural networks: Verification on a …

T Liu, H Xu, M Ragulskis, M Cao, W Ostachowicz - Sensors, 2020 - mdpi.com
Vibration-based data-driven structural damage identification methods have gained large
popularity because of their independence of high-fidelity models of target systems. However …

Substructure damage identification based on response reconstruction in frequency domain and model updating

J Li, SS Law, Y Ding - Engineering structures, 2012 - Elsevier
A substructural damage identification approach based on dynamic response reconstruction
in frequency domain is proposed with numerical and experimental verifications. The …

Vibro-acoustic modulation utilizing a swept probing signal for robust crack detection

NC Yoder, DE Adams - Structural Health Monitoring, 2010 - journals.sagepub.com
One practical issue that must be addressed prior to the implementation of a vibration-based
structural health monitoring system is the influence that variations in the structure's …

A comparative study of damage-sensitive features for rapid data-driven seismic structural health monitoring

Y Reuland, P Martakis, E Chatzi - Applied Sciences, 2023 - mdpi.com
Rapid post-earthquake damage assessment forms a critical element of resilience, ensuring
a prompt and functional recovery of the built environment. Monitoring-based approaches …

Damage detection of metro tunnel structure through transmissibility function and cross correlation analysis using local excitation and measurement

L Feng, X Yi, D Zhu, X Xie, Y Wang - Mechanical Systems and Signal …, 2015 - Elsevier
In a modern metropolis, metro rail systems have become a dominant mode for mass
transportation. The structural health of a metro tunnel is closely related to public safety. Many …