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The Auto Sensor Test as an AE Signal Source in Concrete Specimens.

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Title: The Auto Sensor Test as an AE Signal Source in Concrete Specimens.
Authors: Bacharz, Magdalena1 (AUTHOR), Teodorczyk, Michał2 (AUTHOR), Szulc, Jarosław1,2 (AUTHOR)
Source: Materials (1996-1944). Nov2025, Vol. 18 Issue 22, p5084. 32p.
Subjects: Sensor placement, Concrete testing, Acoustic surface waves, Acoustic radiators, Deterioration of materials, Theory of wave motion, Diagnostic examinations, Acoustic wave effects
Abstract: Numerous artificial sources of acoustic waves have been described in the literature, which are designed to replicate the process by which actual damage occurs in a given material. Knowledge of the velocity with which an acoustic wave propagates is important here, both in order to correctly locate the signal source and to determine the degree of material degradation or the location of damage that has already occurred in the medium. This work presents the results of laboratory tests comparing two sources of artificial waves in terms of determining their parameters: the Hsu–Nielsen source and a sensor with the Auto Sensor Test function. The AST function allows the sensors to send and receive an elastic wave and is used to calibrate the sensor before, during, or after the test. In this study, the impact of the positioning of the sensors on the element being tested, their spacing, and the distance of the wave source from the sensor on selected parameters of the recorded waves are analyzed: velocity, amplitude, energy, rise time, waveform shape, and wavelet maps. This work demonstrates that a sensor with the AST function can be an effective alternative for the Hsu–Nielsen source in diagnostic studies. [ABSTRACT FROM AUTHOR]
Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The Auto Sensor Test as an AE Signal Source in Concrete Specimens.
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  Data: <searchLink fieldCode="AR" term="%22Bacharz%2C+Magdalena%22">Bacharz, Magdalena</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teodorczyk%2C+Michał%22">Teodorczyk, Michał</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Szulc%2C+Jarosław%22">Szulc, Jarosław</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="DE" term="%22Sensor+placement%22">Sensor placement</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+testing%22">Concrete testing</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+surface+waves%22">Acoustic surface waves</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+radiators%22">Acoustic radiators</searchLink><br /><searchLink fieldCode="DE" term="%22Deterioration+of+materials%22">Deterioration of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Theory+of+wave+motion%22">Theory of wave motion</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+examinations%22">Diagnostic examinations</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+wave+effects%22">Acoustic wave effects</searchLink>
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  Data: Numerous artificial sources of acoustic waves have been described in the literature, which are designed to replicate the process by which actual damage occurs in a given material. Knowledge of the velocity with which an acoustic wave propagates is important here, both in order to correctly locate the signal source and to determine the degree of material degradation or the location of damage that has already occurred in the medium. This work presents the results of laboratory tests comparing two sources of artificial waves in terms of determining their parameters: the Hsu–Nielsen source and a sensor with the Auto Sensor Test function. The AST function allows the sensors to send and receive an elastic wave and is used to calibrate the sensor before, during, or after the test. In this study, the impact of the positioning of the sensors on the element being tested, their spacing, and the distance of the wave source from the sensor on selected parameters of the recorded waves are analyzed: velocity, amplitude, energy, rise time, waveform shape, and wavelet maps. This work demonstrates that a sensor with the AST function can be an effective alternative for the Hsu–Nielsen source in diagnostic studies. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Materials (1996-1944) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/ma18225084
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      – Code: eng
        Text: English
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      – SubjectFull: Sensor placement
        Type: general
      – SubjectFull: Concrete testing
        Type: general
      – SubjectFull: Acoustic surface waves
        Type: general
      – SubjectFull: Acoustic radiators
        Type: general
      – SubjectFull: Deterioration of materials
        Type: general
      – SubjectFull: Theory of wave motion
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      – SubjectFull: Diagnostic examinations
        Type: general
      – SubjectFull: Acoustic wave effects
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      – TitleFull: The Auto Sensor Test as an AE Signal Source in Concrete Specimens.
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            NameFull: Bacharz, Magdalena
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            NameFull: Teodorczyk, Michał
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            NameFull: Szulc, Jarosław
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              Text: Nov2025
              Type: published
              Y: 2025
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