Review of vibration-based structural health monitoring using deep learning

G Toh, J Park - Applied Sciences, 2020 - mdpi.com
With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …

Empirical mode decomposition and its variants: A review with applications in structural health monitoring

M Barbosh, P Singh, A Sadhu - Smart Materials and Structures, 2020 - iopscience.iop.org
Structural health monitoring (SHM) is one of the most emerging approaches for early
damage detection, which leads to improved safety and efficient maintenance of large-scale …

Digital twin-based collapse fragility assessment of a long-span cable-stayed bridge under strong earthquakes

K Lin, YL Xu, X Lu, Z Guan, J Li - Automation in Construction, 2021 - Elsevier
Fragility analysis is widely used in seismic performance assessment of bridges but
uncertainties in seismic demand and bridge modelling affect the accuracy of assessment …

A comparative analysis of signal decomposition techniques for structural health monitoring on an experimental benchmark

M Civera, C Surace - Sensors, 2021 - mdpi.com
Signal Processing is, arguably, the fundamental enabling technology for vibration-based
Structural Health Monitoring (SHM), which includes damage detection and more advanced …

The state-of-the-art on time-frequency signal processing techniques for high-resolution representation of nonlinear systems in engineering

C Zhang, AA Mousavi, SF Masri… - Archives of Computational …, 2024 - Springer
One of the serious issues of traditional signal processing techniques in analyzing the
responses of real-life structures is related to the presentation of fundamental information of …

Fractional Fourier transform: Time-frequency representation and structural instantaneous frequency identification

L Lu, WX Ren, SD Wang - Mechanical Systems and Signal Processing, 2022 - Elsevier
The fractional Fourier transform involving a rotation angle as an additional variable is
capable to transform a signal to any fractional Fourier domain in between time and …

Structural damage severity classification from time-frequency acceleration data using convolutional neural networks

M Jamshidi, M El-Badry - Structures, 2023 - Elsevier
Structural damage identification involves interpretation of vibration measurements to identify
patterns that are indicative of changes in structural characteristics. Identification of such …

[PDF][PDF] Practical guidelines for the natural excitation technique (NexT) and the eigensystem realization algorithm (ERA) for modal identification using ambient vibration.

JM Caicedo - Experimental Techniques, 2011 - people.duke.edu
Modal identification methodologies are used to determine the dynamic characteristics of sys-
tems. In structural engineering, these dynamic parameters play an important role in the …

Modal parameter identification and vibration based damage detection of a multiple cracked cantilever beam

AC Altunışık, FY Okur, V Kahya - Engineering Failure Analysis, 2017 - Elsevier
This paper presents a detailed investigation on the modal parameter identification and
vibration based damage detection of a multiple cracked cantilever beam with hollow circular …

Monitoring of civil infrastructures by interferometric radar: A review

M Pieraccini - The Scientific World Journal, 2013 - Wiley Online Library
Ground‐based radar interferometry is an increasingly popular technique for monitoring civil
infrastructures. Many research groups, professionals, and companies have tested it in …