Numerical and experimental verification of a technique for locating a fatigue crack on beams vibrating under Gaussian excitation

Benfratello, Salvatore; Cacciola, Pierfrancesco; Impollonia, N.; Masnata, A.; Muscolino, G.

doi:10.1016/j.engfracmech.2006.06.023

Cited by 33 publications

(15 citation statements)

References 12 publications

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“…Assuming that the opening mechanism is triggered only by the rotations at the nodes of the element as already proposed in [5,18], the breathing mechanism is obtained by the damaged element matrix d K with bilinear behavior:…”

Section: Model Of the Breathing Crackmentioning

confidence: 99%

“…These features are easily detectable when the excitation frequency is in an integer ratio or is a multiple of a resonance frequency of the system; moreover, these would be much more sensitive to cracks characteristics than the modal properties of a linear system. For this reason, increasingly over recent years [11,12,18,19], attentions have been focused on the investigations of the nonlinear effects caused by the presence of breathing cracks and on the associated applications to the problem of damage detection. According to the previous observations, the dynamic behavior of beam-like structures with fatigue cracks forced by harmonic excitation is characterized by the appearance of sub and super-harmonics in the response even in presence of cracks with small depth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Crack detection in beam-like structures by nonlinear harmonic identification

Casini

Vestroni

Giannini

2014

Frattura Ed Integrità Strutturale

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The dynamic behavior of beam-like structures with fatigue cracks forced by harmonic excitation is characterized by the appearance of sub and super-harmonics in the response even in presence of cracks with small depth. Since the amplitude of these harmonics depends on the position and the depth of the crack, an identification technique based on such a dependency can be pursued: the main advantage of this method relies on the use of different modes of the structure, each sensitive to the damage position in its peculiar way. In this study the identification method is detailed through numerical examples tested on structures of increasing complexity to evaluate the applicability of the method to engineering applications. The amount of data to obtain a unique solution and the optimal choice of the observed quantities are discussed. Finally, a robustness analysis is carried out for each test case to assess the influence of measuring noise on the damage identification.

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Section: Model Of the Breathing Crackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Crack detection in beam-like structures by nonlinear harmonic identification

Casini

Vestroni

Giannini

2014

Frattura Ed Integrità Strutturale

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“…In their experimental setup an optical method which allowed simultaneous measurements of static deflection lines to estimate the locations of crack and their severities was used. Benfratello et al [89] presented both numerical and experimental investigations in order to assess the capability of non-Gaussianity measures to detect the crack locations and crack magnitudes. In their experimental setup a shaking table, amplifier model and accelerometer with amplifiers are being used for measurement of bending frequency for the vertical cantilever beam subjected to horizontal shaking with noise.…”

Section: Advances In Mechanical Engineeringmentioning

confidence: 99%

“…They analysed both the simulated and experimental response data by applying empirical mode decomposition and Hilbert transform method. Benfratello et al [28] used the skewness coefficient of the rotational degrees of freedom for identification of crack in a damaged structure. Zheng and Kessissoglou [29] analysed the natural frequencies and mode shapes of a cracked and uncracked beam by developing an overall additional flexibility matrix and shape function.…”

Section: Classical Techniques For Faultmentioning

confidence: 99%

Review of Techniques for Fault Diagnosis in Damaged Structure and Engineering System

Thatoi

Das

Parhi

2012

Advances in Mechanical Engineering

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Focus has been made to give an overview of various methodologies used in fault diagnosis and condition monitoring. A crack in vibrating structures can lead to premature failure if it is not detected in time. Researchers have been working on the dynamics of cracked structures for decades to be able to monitor a structure and diagnose fault at the earliest possible stage. An effort has been made in the current paper to understand different techniques and methodologies for fault diagnosis and condition monitoring of damaged structures subjected to varied dynamic loading. The methods used are classical, wavelet transform, and finite element methods, artificial intelligence methods, and numerical and experimental methods. Using classical methods, engineers are able to predict faults. But using artificial intelligence techniques, it is observed that the forecasting time for fault diagnosis improves a lot in comparison to other methodologies.

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“…Therefore, in these cases, vibration-based methods should employ breathing crack models to provide accurate conclusions regarding the state of damage. Several researchers [9][10][11] have developed breathing crack models considering only the fully open and fully closed crack states. However, experiments have indicated that the transition between these two crack states does not occur instantaneously [12].…”

Section: Introductionmentioning

confidence: 99%