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

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.

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Publication Details

Journal
Materials
Published
2025-11-08
DOI
https://doi.org/10.3390/ma18225084
Citations
1
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
Field-Weighted Citation Impact
0.86
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The Auto Sensor Test as an AE Signal Source in Concrete Specimens

Michał Teodorczyk, Jarosław Szulc, Magdalena Bacharz
1 citations
Materials
Ultrasonics and Acoustic Wave Propagation
0.86
article

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

Michał Teodorczyk, Jarosław Szulc, Magdalena Bacharz
article en
1 citations

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.

MaterialsVol. 18(22)
Kielce University of Technology (PL), Instytut Techniki Budowlanej (PL)
Openalex Percentile: Top 23%
Ultrasonics and Acoustic Wave Propagation
0.86
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The Auto Sensor Test as an AE Signal Source in Concrete Specimens — Michał Teodorczyk, Jarosław Szulc, et al. · Materials (2025) | TGRS Research Map | TGRS