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

Verstrynge, Els; Lacidogna, Giuseppe; Accornero, Federico; Tomor, Adrienn

doi:10.1016/j.conbuildmat.2020.121089

Cited by 81 publications

(22 citation statements)

References 77 publications

(115 reference statements)

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“…A quasi-periodic texture made of bricks with different widths, ranging from 25 to 60 cm, but similar heights, of about 20 cm, is observable; such result matches consistently with what was surveyed in the apse, concerning the areas where the fresco peeled off (see Figure 4). Moreover, the opportunities offered by the thermal imaging methods, regarding at the safeguard of frescoes, mural paintings and valuable architectonic elements, have been addressed by numerous authors with reference different declinations [7,[18][19][20][21][22]. Therefore, even if in the present contribution, where the focus was on the identification of the masonry texture, it was anyway possible to contextually ascertain that there are no detachment or infiltration phenomena in place that may endanger the health of the frescoes.…”

Section: Identification Of Masonry Wall Texture and Peculiar Charactementioning

confidence: 99%

Feasibility of a Thermography Nondestructive Technique for Determining the Quality of Historical Frescoed Masonries: Applications on the Templar Church of San Bevignate

2020

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Thermography is a non-destructive and non-contact technique allowing, without taking samples, gaining information about several aspects of heritage buildings. This contribution presents the last phase of a research path, started with laboratory tests and now aimed at a real case of great cultural value, which involved the use of the thermal imaging camera to unveil in-depth defects and the wall texture, hidden by valuable plasters or frescoes, in order to correlate the quality of the masonry to its mechanical properties. For this, a method has been devised, made of an original integration of thermographic and post-processing techniques, and recently was applied for the first time to a real case study: the Italian Templar church of San Bevignate, part of an architectural complex from the 13th century located in the city of Perugia. The opportunity to establish the masonry quality of a historical building using non-destructive testing (NDT) represents a little-known possibility to frame not only important factors for the conservation of the frescoes but also information on the seismic vulnerability of historical masonry architectures in order to preserve the artefact from being damaged during the surveys and to plan any effective intervention of restoration and structural reinforcement.

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Section: Identification Of Masonry Wall Texture and Peculiar Charactementioning

confidence: 99%

Feasibility of a Thermography Nondestructive Technique for Determining the Quality of Historical Frescoed Masonries: Applications on the Templar Church of San Bevignate

2020

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“…They mainly focused on prognostic approaches for AE data such as regression models, artificial neural networks (ANN), and hidden Markov-based models. Verstrynge et al [122] addressed specific challenges and their recent findings in the application of the acoustic emission technique for masonry structures in their comprehensive review. They discussed some site applications of identifying the crack location in historical masonry structures, buildings, and masonry arch bridges.…”

Section: Introductionmentioning

confidence: 99%

State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

Hassan¹,

Mahmood²,

Yahya

et al. 2021

IEEE Access

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The acoustic emission technique has been applied successfully for the identification, characterization, and localization of deformations in civil engineering structures. Numerous localization techniques, such as Modal Acoustic Emission, Neural Networks, Beamforming, and Triangulation methods with or without prior knowledge of wave velocity, have been presented. Several authors have conducted in-depth research in the localization of AE sources. However, existing review papers do not focus on the performance evaluation of existing source localization techniques. This paper discusses these techniques based on the number of sensors used and the geometry of the structures of interest. Furthermore, it evaluates them on the basis of their performance. At the end of this paper, a comparative analysis of existing methods has been presented based on their basic principles, key strengths, and limitations. A deep learning circular sensor cluster-based solution has the potential to provide a low-cost reliable localization solution for acoustic emission sources.

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“…The acoustic emission (AE) technique is a promising non-destructive surveillance technology for materials study and in situ supervision of structures [ 3 ]. The acoustic emission detection technique has been widely used in damage detection of metallic materials [ 4 , 5 , 6 ], composite materials [ 7 , 8 , 9 ], and rock materials [ 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Tensile Damage Study of Wind Turbine Tower Material Q345 Based on an Acoustic Emission Method

et al. 2021

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As essential load-bearing equipment to support the nacelle and blades, the tower is subjected to the whole wind turbine loading. This study proposes a new method of combining acoustic emission and normalized accumulation parameters to characterize wind turbine towers Q345 steel damage. First of all, tendency analysis of the acoustic emission signal parameter was conducted to determine damage degree during the damage stage. Secondly, we normalized the accumulation of amplitude and other parameters to compare the proportion of each accumulation parameter at different stages, while studying the spectra of common acoustic emission signals. Finally, comparing the differences and similarities of the normalized accumulation parameters between three different rates, we analyze the effect of rate on the normalized accumulation parameters. These results indicate that the normalized cumulative duration parameter is suitable for characterizing the yield damage occurrence, the normalized cumulative energy parameter is very sensitive to the fracture stage, the normalized cumulative energy parameter is least influenced by the loading rate, and the energy parameter is a sensitivity factor for normalized expression, which to realizes the stage of damage judgment.

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

Cited by 81 publications

References 77 publications

Feasibility of a Thermography Nondestructive Technique for Determining the Quality of Historical Frescoed Masonries: Applications on the Templar Church of San Bevignate

Feasibility of a Thermography Nondestructive Technique for Determining the Quality of Historical Frescoed Masonries: Applications on the Templar Church of San Bevignate

State-of-the-Art Review on the Acoustic Emission Source Localization Techniques

Tensile Damage Study of Wind Turbine Tower Material Q345 Based on an Acoustic Emission Method

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