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Zhang, F. (author), Yang, Y. (author), Hendriks, M.A.N. (author)
Monitoring or identifying structural cracks is crucial for assessing the health of existing concrete structures. Key information about structural cracking encompasses the location of the crack and its kinematics, which include movements perpendicular and parallel to the crack face. Acoustic emission (AE) is a sensitive technique for detecting...
journal article 2023
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Zhang, F. (author), Yang, Y. (author), Fennis, Sonja A.A.M. (author), Hendriks, M.A.N. (author)
Acoustic emission (AE) signal parameters can be used to classify the source type in concrete structures. However, signal parameters are influenced by the wave propagation from the source to the receiver, leading to wrong source classification results, especially for monitoring large concrete structures. This paper experimentally evaluates the...
journal article 2022
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Zhang, F. (author), Yang, Y. (author), Naaktgeboren, N.M. (author), Hendriks, M.A.N. (author)
This paper proposes a new damage identification method, namely, the probability density field of acoustic emission (AE) events. This new method provides a different perspective to deal with the uncertainties in the source localization process. We treat the source location as a random variable, and estimate its probability density field based...
journal article 2022