Application of Wavelet Transform to Damage Identification in the Steel Structure Elements

Knitter-Piątkowska, Anna; Dobrzycki, Arkadiusz

doi:10.3390/app10228198

Cited by 13 publications

(10 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are many wavelet functions, e.g., Haar wavelet, Symlet, Coiflet, Meyer, Gaussian, Mexican hat, or Morlet, and new ones are constantly developed. Previous studies of the authors [14][15][16] proved that, in the class of considered problem, the most effective appeared to be the Daubechies wavelet [17]. The comparison between the efficiency of Haar, Daubechies and Coiflet wavelet in damage detection was discussed in [18].…”

Section: Introductionmentioning

confidence: 99%

Damage localization in truss girders by an application of the discrete wavelet transform

Knitter-Piątkowska,

Kawa,

Guminiak

2023

Bulletin of the Polish Academy of Sciences Technical Sciences

View full text Add to dashboard Cite

The paper demonstrates the potential of wavelet transform in a discrete form for structural damage localization. The efficiency of the method is tested through a series of numerical examples, where the real flat truss girder is simulated by a parameterized finite element model. The welded joints are introduced into the girder and classic code loads are applied. The static vertical deflections and rotation angles of steel truss structure are taken into consideration, structural response signals are computed at discrete points uniformly distributed along the upper or lower chord. Signal decomposition is performed according to the Mallat pyramid algorithm. The performed analyses proved that the application of DWT to decompose structural response signals is very effective in determining the location of the defect. Evident disturbances of the transformed signals, including high peaks, are expected as an indicator of the defect existence in the structure. The authors succeeded for the first time in the detection of breaking the weld in the truss node as well as proved that the defect can be located in the diagonals.

show abstract

Section: Introductionmentioning

confidence: 99%

Damage localization in truss girders by an application of the discrete wavelet transform

Knitter-Piątkowska,

Kawa,

Guminiak

2023

Bulletin of the Polish Academy of Sciences Technical Sciences

View full text Add to dashboard Cite

show abstract

“…Specifically, a Wavelet technique (see, e.g., [17,18]) is selected, as an efficient approach for this purpose. Being already successfully applied in the application fields of damage identification (see, e.g., [19][20][21]) and signal denoising (see, e.g., [9][10][11]22]), a Wavelet analysis can be specifically considered in bridge signal processing, as e.g., proposed in [23][24][25][26][27][28][29]. It is here applied to the same two channels of each side of the central span of the bridge only, assuming that the outcomes could easily be extended to the channels of the other two spans.…”

Section: Introductionmentioning

confidence: 99%

Signal Processing Methodology of Response Data from a Historical Arch Bridge toward Reliable Modal Identification

et al. 2022

View full text Add to dashboard Cite

The paper is part of a case study concerning the structural assessment of a historical infrastructure in the local territory, a road three-span reinforced concrete arch bridge over a river, built by the end of World War I (1917). The purpose of the paper is twofold: first, in-situ acquired response data are systematically analysed by specific signal processing techniques, to form a devoted methodological procedure and to extract useful information toward possible interpretation of the current structural conditions; second, the deciphered information is elaborated, in view of obtaining peculiar conceptualisations of detailed features of the structural response, as meant to achieve quantitative descriptions and modelling, for final Structural Health Monitoring (SHM) and intervention purposes. The proposed methodology, integrating self-implemented and adapted classical signal processing methods, and refined techniques, such as Wavelet analysis and ARMA models, assembles a rather general, systematic methodological approach to signal processing, highlighting the capability to extract useful and fundamental information from acquired response data, also endowed of a non-stationary character, toward final structural interpretation, identification and modelling, thus enabling for developing a reliable and effective SHM platform, on strategic ageing infrastructures. For the present case study, non-stationary characteristics of the response signals are revealed and flattened out, to identify the underlying fundamental frequencies of the infrastructure and to advance particular interpretations of its current structural behaviour, informing an enlarging structural consciousness of the bridge at hand.

show abstract

“…In 2020, Knitter-Piatkowska et al [ 31 ] developed the concept and verified the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In 2020, Palacz et al [ 32 ] presented a process for numerical modeling of one-dimensional problems related to the propagation of elastic waves and their application for damage detection purposes.…”

Section: Introductionmentioning

confidence: 99%

Plate Waves Scattering Analysis and Active Damage Detection

2021

Sensors

View full text Add to dashboard Cite

This study investigates and evaluates the technology of using plate waves to detect the locations and sizes of circular holes and cracks in plates. Piezoelectric ceramic discs surface-mounted on both sides of an aluminum alloy plate were used as narrow-frequency plate wave actuators and sensors, and the antisymmetric plate wave signal was analyzed by wavelet transform in the time-frequency domain. The damage location and frequency spectrum characteristics were identified by the wave through time-of-flight difference and signal analysis of the damage scattered wave group. The plate wave signal of the damaged plate included the scattered wave signal and the plate wave signal transmitted directly between the piezoelectric discs. Under ideal conditions, the plate wave signal indicating damage can be obtained by subtracting the plate wave signal in a plate without damage from the plate wave signal scattered from actuators to sensors. This study established an optimization program based on the simplex algorithm to inversely calculate the location of the plate damage. The developed damage location objective function has a unique global minimum value that can ensure the accuracy of the damage location calculation, and good results were obtained in experiments. The spectral characteristics of the scattered plate wave were related to the type, size, wave propagation path, and incident angle of the damage. Numerical analyses of scattered spectra for various damages are needed as references to compare with experimental results in the future.

show abstract

Application of Wavelet Transform to Damage Identification in the Steel Structure Elements

Cited by 13 publications

References 24 publications

Damage localization in truss girders by an application of the discrete wavelet transform

Damage localization in truss girders by an application of the discrete wavelet transform

Signal Processing Methodology of Response Data from a Historical Arch Bridge toward Reliable Modal Identification

Plate Waves Scattering Analysis and Active Damage Detection

Contact Info

Product

Resources

About