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Journal ArticleDOI

Modal identification and damage detection in beam-like structures using the power spectrum and time-frequency analysis

Gilbert-Rainer Gillich, +1 more
- 01 Mar 2014 - 
- Vol. 96, pp 29-44
TLDR
A new method, based on natural frequency changes, able to detect damages in beam-like structures and to assess their location and severity, considering the particular manner in which the natural frequencies of the weak-axis bending vibration modes change due to the occurrence of discontinuities is presented.
About
This article is published in Signal Processing.The article was published on 2014-03-01. It has received 112 citations till now. The article focuses on the topics: Harmonic & Spectral density.

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Citations
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Journal ArticleDOI

A novel deep learning-based method for damage identification of smart building structures:

TL;DR: A novel method based on deep convolutional neural networks to identify and localise damages of building structures equipped with smart control devices that has outstanding generalisation capacity and higher identification accuracy than other commonly used machine learning methods is proposed.
Journal ArticleDOI

A novel method for single and multiple damage detection in beams using relative natural frequency changes

TL;DR: A concept of relative natural frequency change (RNFC) curves for local damage characterization is presented and especially ascertains the relationship between RNFC curves and mode shapes, leading to an explicit equation of RNFC.
Journal ArticleDOI

A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures

TL;DR: A new modified damage indicator is proposed, using transmissibility technique to improve Local Frequency Response Ratio (LFCR), combined with ANN to reduce the number of collected data for fast prediction and with higher accuracy.
Journal ArticleDOI

A robust damage detection method based on multi-modal analysis in variable temperature conditions

TL;DR: In this paper, a method based on multi-modal analysis is proposed to assess damages in beams subjected to axial forces induced by temperature changes, which can be used for the intact beam, as well as for the beam with transverse cracks.
Journal ArticleDOI

Damage assessment in composite laminates using ANN-PSO-IGA and Cornwell indicator

TL;DR: A simple, yet powerful, new technique based on Artificial Neural Network combined with Particle Swarm Optimization (PSO) for damage quantification in laminated composite plates using Cornwell indicator (CI) is proposed and indicates that high accuracy ofDamage quantification is achieved using ANN-PSO-IGA-CI.
References
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ReportDOI

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

TL;DR: A review of the technical literature concerning the detection, location, and characterization of structural damage via techniques that examine changes in measured structural vibration response is presented in this article, where the authors categorize the methods according to required measured data and analysis technique.
Journal ArticleDOI

A summary review of vibration-based damage identification methods

TL;DR: In this paper, the authors provide an overview of methods to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration response, including frequency, mode shape, and modal damping.
Book

Finite Element Model Updating in Structural Dynamics

TL;DR: A comparison of Numerical Data with Test Results and Iterative Methods Using Modal Data for Model Updating shows that the former is more accurate than the latter.
Journal ArticleDOI

Damage detection from changes in curvature mode shapes

TL;DR: In this article, a new parameter called curvature mode shape is investigated as a possible candidate for identifying and locating damage in a structure, and it is shown that the absolute changes in the curvature shape are localized in the region of damage and hence can be used to detect damage.
Journal ArticleDOI

Detection of structural damage through changes in frequency: a review

O.S. Salawu
TL;DR: The use of natural frequency as a diagnostic parameter in structural assessment procedures using vibration monitoring is discussed in this paper, based on the fact that natural frequencies are sensitive indicators of structural integrity.
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