Detection of the location and size of cracks in the multiple cracked beam by spatial wavelet based approach

Chang, Chia‐Chin; Chen, Lien-Wen

doi:10.1016/j.ymssp.2003.11.001

Cited by 105 publications

(59 citation statements)

References 17 publications

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“…For this the variations in DIF values caused by varying the geometrical or material properties have been studied. To carry out these studies, the properties of the beam in Problem 1 (Chang and Chen, 2005) has been modified one at a time to arrive at five new problems, the details of which are given in Table 1. Problems 2 to 4 are arrived by varying the geometrical properties and the Problems 5 and 6 are obtained by changing the load intensity and material property.…”

Section: Generalising the Methodologymentioning

confidence: 99%

“…The effectiveness of the proposed damage quantification methodology has been demonstrated through numerical simulations conducted on a literature problem (Problem 1) given by Chang and Chen (2005). The beam is of length 1m and is considered to be simply supported at both the ends.…”

Section: Simply Supported Beammentioning

confidence: 99%

“…The Problem 1 (Chang and Chen, 2005) has been considered again but with both ends fixed. The proposed methodology of measuring three set of structural response and analysing the first two to locate damage and compute WC Wloc and then using the third to compute the WC damage , are the same for this problem also.…”

Section: Damage Quantificationmentioning

confidence: 99%

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Damage identification in beams using discrete wavelet transforms

Sivasubramanian¹

2012

IJCSER

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Researchers, over the years, have done extensive research on damage identification. In the recent years, there has been an increased impetus to conduct research on damage identification using wavelet transforms. In the present work, discrete wavelet transform (DWT) has been used to detect, locate and quantify damage in beam elements. A generalised method has been proposed to solve damage identification in beams with a single dominant crack. The proposed quantification methodology uses only the measurements made in the current (damaged) state of the beam structure. The generalised method has been proposed using a Damage Intensity Factor (DIF) to quantify damage in all beams with similar edge conditions. Formulae have also been proposed to help in quantifying the damage in simply supported and fixed beams. The proposed method has been validated using problems taken from the literature. The applicability of the proposed method to solve multiple damage cases has been demonstrated using literature problems.

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Section: Generalising the Methodologymentioning

confidence: 99%

Section: Simply Supported Beammentioning

confidence: 99%

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Damage identification in beams using discrete wavelet transforms

Sivasubramanian¹

2012

IJCSER

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“…Until now, Wavelet Transform analysis is being used extensively in the field of engineering such as data compression, signal processing, image processing, as well as in the medical field (Sifuzzaman et al 2009). Piotrkowski et al (2009) used the Wavelet Transform application in acoustic emissions to detect damage and corrosion, while Chang and Chen (2005) used the Wavelet Transform to detect the position and depth of cracks in beams. Discrete Wavelet transform can be defined as in Equation (1):…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments

Yunoh

Abdullah

Saad

et al. 2017

Lat. Am. j. solids struct.

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This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 10 11 . Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability.

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“…Chang and Chen [6] presented a damage assessment technique based on spatial wavelet analysis. The positions and depths of the cracks are predicted with acceptable precision even though there are many cracks in the beam.…”

Section: Introductionmentioning

confidence: 99%

Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method

Faverjon

Sinou

2008

Journal of Sound and Vibration

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To cite this version:Béatrice Faverjon, Jean-Jacques Sinou. Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method. Journal of Sound and Vibration, Elsevier, 2008, 312, pp.821-837 AbstractThe aim of this paper is to present a damage assessment technique for the non destructive detection and sizing of multiple open cracks in beams. The Constitutive Relation Error updating method is used for the identification of the location and the size of multi-cracks in a simply supported beam. The present identification method is illustrated through numerical examples including double and triples cracks. Moreover, the efficiency and robustness of the proposed method is demonstrated through various numerical simulations in regard to the non-dimensional crack depth and the crack location. It is demonstrated that the Constitutive Relation Error updating method can detect the number of cracks on the beam and can estimate both the crack positions and sizes with satisfactory precision, even if 10% or 20% noise levels has been added to the simulations, and only few degrees of freedom are used for the identification procedure.

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Detection of the location and size of cracks in the multiple cracked beam by spatial wavelet based approach

Cited by 105 publications

References 17 publications

Damage identification in beams using discrete wavelet transforms

Damage identification in beams using discrete wavelet transforms

Probability Analysis in Determining the Behaviour of Variable Amplitude Strain Signal Based on Extraction Segments

Robust damage assessment of multiple cracks based on the frequency response function and the Constitutive Relation Error updating method

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