Fluctuations of 1/f Noise in Damaging Structures Analyzed by Acoustic Emission

Carpinteri, Alberto; Lacidogna, Giuseppe; Accornero, Federico

doi:10.3390/app8091685

Cited by 20 publications

(8 citation statements)

References 37 publications

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“…Assuming D F = 2b, the condition D F = 3 implies b = 1.5, with b being the aforementioned b-value. This assumption is in agreement with experimental findings [46][47][48].…”

Section: Parameter-based and B-value Analysissupporting

confidence: 93%

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A review on acoustic emission monitoring for damage detection in masonry structures

Verstrynge

Lacidogna

Accornero

et al. 2021

Construction and Building Materials

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Acoustic emission monitoring is widely used for damage detection in materials research and for site monitoring. Its use for masonry structures is however challenging due to the highly heterogenic nature of masonry and rapid signal attenuation. However, the non-invasive nature and high sensitivity of the technique also provide interesting opportunities, especially for historical masonry structures, to locate damage, identify severity of damage and rate of deterioration. Aim of this paper is to provide an extensive literature review on the application of the acoustic emission technique for masonry structures, addressing specific challenges and recent findings. AE-based methods for damage assessment in masonry are discussed in view of monitoring approaches, wave propagation, source location and crack development under static, fatigue and creep loading. Site applications are discussed for identifying crack location and crack propagation in historical masonry towers, buildings and masonry arch bridges. The paper concludes with future challenges identified in this research field.

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“…Assuming D F = 2b, the condition D F = 3 implies b = 1.5, with b being the aforementioned b-value. This assumption is in agreement with experimental findings [46][47][48].…”

Section: Parameter-based and B-value Analysissupporting

confidence: 93%

“…At imminent collapse, crack growth and coalescence take place and the majority of cracks develop near the final failure surface [47,48]. With the majority of cracks being concentrated in a narrow band around the final fracture surface the constant volumetric density cannot be defined consistently any more.…”

Section: Parameter-based and B-value Analysismentioning

confidence: 99%

A review on acoustic emission monitoring for damage detection in masonry structures

Verstrynge

Lacidogna

Accornero

et al. 2021

Construction and Building Materials

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“…This has been explained theoretically by Dutta and Horn. Recently, Carpinteri et al 16 and Freidrich et al 17 have used the flicker noise for damage process monitoring in concrete structures and glass fibre–reinforced polymers (GFRPs), respectively. Carpinteri et al 16 studied the flicker noise of the acoustic signals released from the concrete structures for identifying the critical conditions of the structure.…”

Section: Proposed Methodology For Processing Acoustic Emission Datamentioning

confidence: 99%

Acoustic emission waveforms for damage monitoring in composite materials: Shifting in spectral density, entropy and wavelet packet transform

Barile

Casavola

Pappalettera

et al. 2021

Structural Health Monitoring

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Signal-based acoustic emission data are analysed in this research work for identifying the damage modes in carbon fibre–reinforced plastic (CFRP) composites. The research work is divided into three parts: analysis of the shifting in the spectral density of acoustic waveforms, use of waveform entropy for selecting the best wavelet and implementation of wavelet packet transform (WPT) for identifying the damage process. The first two methodologies introduced in this research work are novel. Shifting in the spectral density is introduced in analogous to ‘flicker noise’ which is popular in the field of waveform processing. The entropy-based wavelet selection is refined by using quadratic Renyi’s entropy and comparing the spectral energy of the dominating frequency band of the acoustic waveforms. Based on the method, ‘dmey’ wavelet is selected for analysing the waveforms using WPT. The slope values of the shifting in spectral density coincide with the results obtained from WPT in characterising the damage modes. The methodologies introduced in this research work are promising. They serve the purpose of identifying the damage process effectively in the CFRP composites.

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“…Moreover, the distributions described in Equation ( 4) is also observed to hold for frequencies ranging from fractions of hertz (in seismology) to gigahertz (microelectronics), which clearly illustrates the fractal character of this distribution and the phenomena to which it applies [32]. In the specific case of Acoustic Emission applications, the study of damage in historic buildings by [33] is an interesting example, where the exponent changes in the imminence of (either local or global) instabilities that are associated with structural collapse.…”

Section: Acoustic Emission Techniquementioning

confidence: 98%

Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique

et al. 2021

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This paper applies the Acoustic Emission (AE) Technique to analyze the damage process in a one-meter span bridge model that was built from spaghetti sticks during a loading test. The AE signals are analyzed in terms of four coefficients that are evaluated as predictors of structure failure, with frequency variation appearing to be the strongest indicator of instability. The AE data are also compared to theoretical predictions that are given by the Bundle Model, confirming that underlying general patterns in damage processes are highly influenced by the geometric distribution of the structure and the loading pattern that is applied to it.

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Fluctuations of 1/f Noise in Damaging Structures Analyzed by Acoustic Emission

Cited by 20 publications

References 37 publications

A review on acoustic emission monitoring for damage detection in masonry structures

A review on acoustic emission monitoring for damage detection in masonry structures

Acoustic emission waveforms for damage monitoring in composite materials: Shifting in spectral density, entropy and wavelet packet transform

Damage Evolution Analysis in a “Spaghetti” Bridge Model Using the Acoustic Emission Technique

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