| Issue |
MATEC Web Conf.
Volume 285, 2019
16th Symposium of Structural Dynamics (DYNKON 2019)
|
|
|---|---|---|
| Article Number | 00025 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/matecconf/201928500025 | |
| Published online | 12 July 2019 | |
Anomaly detection in the concrete arc girder subjected to fatigue test
Rzeszow University of Technology, Powstan´ców Warszawy 12, 35-959 Rzeszów, Poland
* e-mail: dziaja@prz.edu.pl
** e-mail: pnazarko@prz.edu.pl
A steel reinforced concrete arch of a bridge girder has been subjected to static and fatigue tests. The aim of this study is the application of guided waves in non-destructive diagnostics of civil engineering structures and early damage detection. Two piezoelectric transducers were mounted at a distance of 1 m to monitor area of the arch keystone. After every 500 000 cycles the signals of elastic waves have been measured and the girder visual examination was carried out. It turned out that both the load magnitude and the appearance of cracks have affected the signal changes. The obtained signal database has been used to train artificial neural networks and establish a diagnostic system. The results of the conducted tests have showed good sensitivity of anomaly detection and satisfying accuracy of load identification.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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