Detection of Damage Location in Beams Using Discrete Wavelet Analysis

Eraky, Atef; Mourad, Sherif A.; Selmy, S

doi:10.21608/eijest.2018.97262

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…DWT has also been used on mode shapes in combination with neural networks for detecting and quantifying damage in a cantilever beam (Vafaei et al, 2015) and in a simply supported beam using both a finite element model and experimental data Oyadiji, 2007, 2011). Bakry et al (2018) conduct a detailed parametric study to show the applicability of the discrete wavelet analysis for damage detection on the first mode shape of a numerically simulated beam. He et al (2019) apply the DWT to decompose the displacement response change on an experimental beam subjected to different moving-load velocities and demonstrate that damage localization can be compromised due to a high moving vehicle velocity.…”

Section: Overview Of Shm For Civil Structuresmentioning

confidence: 99%

Reliability of Wavelet Analysis of Mode Shapes for the Early Detection of Damage in Beams

Chouinard

Shahsavari

Bastien

2019

Front. Built Environ.

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Numerous procedures have been developed for the detection and the localization of damage in structures based on changes in the dynamic or static response of structures. Among these, procedures based on wavelet analysis of mode shapes appear to offer a superior performance especially for low levels of damage. In order to evaluate the relative merit of these approaches, criteria based on statistical and probabilistic performance are evaluated as a function of damage level for an experimental beam. These measures include the probability of detection, the probability of false alarms, and the safety index. The safety index used in this application is for the beam under pure bending, which provides a uniform criteria for damage at any location along the beam. The experimental data is obtained on a steel beam where the level of damage is controlled at two locations along its length. A total of 16 equally spaced accelerometers are deployed along the length of the beam. The dynamic properties used to illustrate the proposed procedure are changes in the frequency of the first mode of vibration of the beam and changes in the wavelet coefficients for the first mode of vibration. The data obtained for 5 increasing level of damage at two locations is used to derive prediction equations for the dynamic properties and to estimate the probability of detection and of false alarms as a function of damage level. The results indicate that the procedure based on wavelets is more efficient than the one based on natural frequencies in detecting and localizing low levels of damage. The results also indicate that a monitoring strategy based on wavelets can detect damage before structural safety is significantly compromised while maintaining low probabilities of false alarms.

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Section: Overview Of Shm For Civil Structuresmentioning

confidence: 99%

Reliability of Wavelet Analysis of Mode Shapes for the Early Detection of Damage in Beams

Chouinard

Shahsavari

Bastien

2019

Front. Built Environ.

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“…They included different types of damage in the structural model, obtained the vertical displacements of the structure under the action of static charges and demonstrated the usefulness of the WT for the detection of damages. Likewise, other recent studies which have had a significant contribution in the topic of damage detection on beams/bridges by using wavelet-based methods can be found in [16][17][18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Wavelet Energy Accumulation Method Applied on the Rio Papaloapan Bridge for Damage Identification

et al. 2021

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Large civil structures such as bridges must be permanently monitored to ensure integrity and avoid collapses due to damage resulting in devastating human fatalities and economic losses. In this article, a wavelet-based method called the Wavelet Energy Accumulation Method (WEAM) is developed in order to detect, locate and quantify damage in vehicular bridges. The WEAM consists of measuring the vibration signals on different points along the bridge while a vehicle crosses it, then those signals and the corresponding ones of the healthy bridge are subtracted and the Continuous Wavelet Transform (CWT) is applied on both, the healthy and the subtracted signals, to obtain the corresponding diagrams, which provide a clue about where the damage is located; then, the border effects must be eliminated. Finally, the Wavelet Energy (WE) is obtained by calculating the area under the curve along the selected range of scale for each point of the bridge deck. The energy of a healthy bridge is low and flat, whereas for a damaged bridge there is a WE accumulation at the damage location. The Rio Papaloapan Bridge (RPB) is considered for this research and the results obtained numerically and experimentally are very promissory to apply this method and avoid accidents.

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Detection of Damage Location in Beams Using Discrete Wavelet Analysis

Cited by 2 publications

References 20 publications

Reliability of Wavelet Analysis of Mode Shapes for the Early Detection of Damage in Beams

Reliability of Wavelet Analysis of Mode Shapes for the Early Detection of Damage in Beams

Wavelet Energy Accumulation Method Applied on the Rio Papaloapan Bridge for Damage Identification

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