Damage assessed by wavelet scale bands and b-value in dynamical tests of a reinforced concrete slab monitored with acoustic emission

Zitto, Miguel E.; Piotrkowski, Rosa; Gallego, Antolino; Sagasta, Francisco; Benavent‐Climent, Amadeo

doi:10.1016/j.ymssp.2015.02.006

Cited by 71 publications

(31 citation statements)

References 23 publications

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“…The Morlet Continuous Wavelet Transform (CWT) was applied in order to reconstruct AE signals using only scales 18 to 20, which correspond to the 45-64 kHz frequency band, tentatively assigned to the concrete cracking [16,17]. The accumulated AE MARSE energy, E AE , was calculated for the reconstructed AE signals corresponding to the first-hit of events.…”

Section: Rc Framementioning

confidence: 99%

“…Based on this correlation, the level of damage in an RC structure can be assessed from the AE records. The correlation is demonstrated under relatively simple loading conditions, i.e., static and monotonic loadings [12,13], yet also under extremely cumbersome loads such as random dynamic cyclic loading caused by earthquakes [13][14][15][16][17][18][19]. The AE signals recorded during a seismic event are extraordinarily complex; and unveiling their relation with the damage accumulated on the structure requires considerable post-processing work [13,16,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

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Correlation of Plastic Strain Energy and Acoustic Emission Energy in Reinforced Concrete Structures

et al. 2016

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This paper presents a comparison of the acoustic emission (AE) energy and the plastic strain energy released by some reinforced concrete (RC) specimens subjected to cyclic or seismic loadings. AE energy is calculated, after proper filtering procedures, using the signals recorded by several AE low frequency sensors (25-100 kHz) attached on the specimens. Plastic strain energy is obtained by integrating the load displacement curves drawn from the measurements recorded during the test. Presented are the results obtained for: (i) two beams (with and without an artificial notch) and a beam-column connection subjected to several cycles of imposed flexural deformations; (ii) a reinforced concrete slab supported by four steel columns, and a reinforced concrete frame structure, both of the latter are subjected to seismic simulations with a uniaxial shaking table. The main contribution of this paper, which is a review of some papers previously published by the authors, is to highlight that, in all cases, a very good correlation is found between AE energy and plastic strain energy, until the onset of yielding in the reinforcing steel. After yielding, the AE energy is consistently lower than the plastic strain energy. The reason is that the plastic strain energy is the sum of the contribution of concrete and steel, while the AE energy acquired with thresholds higher than 35 dB AE captures only the contribution of the concrete cracking, not the steel plastic deformation. This good correlation between the two energies before the yielding point also lends credibility to the use of AE energy as a parameter for concrete damage evaluation in the context of structural health monitoring.

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Section: Rc Framementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation of Plastic Strain Energy and Acoustic Emission Energy in Reinforced Concrete Structures

et al. 2016

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“…Generally, peak-frequency can serve as a good AE indicator to discriminate different damage sources. According to previous literatures (Zhang et al, 2015;Zitto et al, 2015), concrete cracking usually lead to AE events with low frequency (less than 100 kHz), while damages related to steel material would contribute to AE events with a higher frequency. Figure 9, Figure 10, and Figure 11 present the distribution between AE energy and peak-frequency for each test group at different loading stages.…”

Section: Frequency Based Identification For Damage Mechanismsmentioning

confidence: 92%

Damage evaluation and failure mechanism analysis of steel tube confined reinforced-concrete columns by acoustic emission technology

Pan

2018

Lat. Am. j. solids struct.

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As a new kind of composite structures and its advantages, the using of steel tube confined reinforced concrete (STCRC) columns have received increasing attention in civil engineering. Acoustic emission (AE) technique is applied to monitor the damage process of STCRC columns during an uniaxial compression test. The aim of this study is to investigate the damage evaluation and failure mechanisms of the STCRC columns from the perspective of microscopic damage. Typical AE parameters are extracted to quantify different damage condition and identify the critical point. Peak-frequency analysis classify the damage signal into groups, representing different AE generation mechanisms. Extended AE features, such as the RA value and the average frequency are calculated to discriminate the cracking modes of core concrete. The probability based Gaussian mixture model (GMM) are proposed for unsupervised damage pattern recognition. All presented AE results are good in accordance with the observed experimental outcomes. The AE technology enabled evaluating the damage condition, identifying critical point, disclosing the failure mechanism, and classifying damage modes for steel confined RC columns effectively.

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“…Hou et al [10] proposed a new damage identification method by detecting the singularity of the signals based on wavelet transform, and the method had been successfully applied to the Benchmark model which was provided by the American Society of Civil Engineers (ASCE). Zitto et al [11] applied the continuous wavelet transform to analyze the acoustic emission signals from dynamic tests conducted on a reinforced concrete slab with a shaking table, the results showed this method can identify the crack in the reinforced concrete slab accurately. Ding et al [12] firstly achieved wavelet packet energy spectrum (WPES) by decomposing *Address correspondence to this author at the College of Defense Engineering, PLA University of Science and Technology, Nanjing, 210007, China; Tel: (86)025-80825341; Fax: (86)025-80825341; E-mail: xjc893@163.com the wavelet packet of the response signal, and then computed the change rate of the WPES to determine whether the structural damage occurs or not.…”

Section: Introductionmentioning

confidence: 99%

A New Structural Damage Identification Method Based on Wavelet Packet Energy Entropy of Impulse Response

He¹,

Xing²,

Li³

et al. 2015

TOCIEJ

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Excitation makes a great influence on the wavelet energy distribution of the response signal, this deficiency leads that the traditional structural damage identification method based on wavelet energy has a low precision. In order to solve this problem, a new structural damage identification method based on wavelet packet energy entropy (WPEE) of impulse response is presented in this paper. Firstly, natural excitation technique (NExT) is adopted to extract structural impulse response. Then, WPEE of the impulse response is computed, and the change rate of WPEE is used to construct the structural damage index. An experiment of damage identification on a pile structure is provided to verify the effectiveness of the proposed method. Experiment results show that this method can accurately identify the single damage and multi-damage.

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Damage assessed by wavelet scale bands and b-value in dynamical tests of a reinforced concrete slab monitored with acoustic emission

Cited by 71 publications

References 23 publications

Correlation of Plastic Strain Energy and Acoustic Emission Energy in Reinforced Concrete Structures

Correlation of Plastic Strain Energy and Acoustic Emission Energy in Reinforced Concrete Structures

Damage evaluation and failure mechanism analysis of steel tube confined reinforced-concrete columns by acoustic emission technology

A New Structural Damage Identification Method Based on Wavelet Packet Energy Entropy of Impulse Response

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