Cargando…
Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement
The aim of the presented examination is condition-monitoring of GFRP-reinforced concrete structural members using elastic wave propagation. As an example, a deck slab is selected. The deck slab is made of concrete of the targeted C30/37 class under three-point bending. During loading cycles, the spe...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741480/ https://www.ncbi.nlm.nih.gov/pubmed/36500018 http://dx.doi.org/10.3390/ma15238523 |
_version_ | 1784848330916888576 |
---|---|
author | Ziaja, Dominika Jurek, Michał Wiater, Agnieszka |
author_facet | Ziaja, Dominika Jurek, Michał Wiater, Agnieszka |
author_sort | Ziaja, Dominika |
collection | PubMed |
description | The aim of the presented examination is condition-monitoring of GFRP-reinforced concrete structural members using elastic wave propagation. As an example, a deck slab is selected. The deck slab is made of concrete of the targeted C30/37 class under three-point bending. During loading cycles, the specimen is observed with a digital image correlation (DIC) system, which enables calculation of the strain field. The measuring setup consists of two Baumer 12.3 Mpx cameras with VS-1220HV lenses, combined in a Q400 system by Dantec Dynamics GmbH. Elastic waves are also measured based on signals recorded with PZT (lead–zirconate–titanate) sensors. Additionally, the typical crack-opening measurements are made. The appearance of a crack and its growth causes changes in both the shape and amplitude of the registered signals. However, the changes are not obvious and depend on the location of the sensors. Due to the impossibility of determining simple parameters with respect to disturbingly wide cracks, for damage detection, an artificial neural network (ANN) is applied. Perfect determination of the specimen’s condition (100% properly classified patterns) is possible based on whether the element is under loading or not. |
format | Online Article Text |
id | pubmed-9741480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97414802022-12-11 Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement Ziaja, Dominika Jurek, Michał Wiater, Agnieszka Materials (Basel) Article The aim of the presented examination is condition-monitoring of GFRP-reinforced concrete structural members using elastic wave propagation. As an example, a deck slab is selected. The deck slab is made of concrete of the targeted C30/37 class under three-point bending. During loading cycles, the specimen is observed with a digital image correlation (DIC) system, which enables calculation of the strain field. The measuring setup consists of two Baumer 12.3 Mpx cameras with VS-1220HV lenses, combined in a Q400 system by Dantec Dynamics GmbH. Elastic waves are also measured based on signals recorded with PZT (lead–zirconate–titanate) sensors. Additionally, the typical crack-opening measurements are made. The appearance of a crack and its growth causes changes in both the shape and amplitude of the registered signals. However, the changes are not obvious and depend on the location of the sensors. Due to the impossibility of determining simple parameters with respect to disturbingly wide cracks, for damage detection, an artificial neural network (ANN) is applied. Perfect determination of the specimen’s condition (100% properly classified patterns) is possible based on whether the element is under loading or not. MDPI 2022-11-29 /pmc/articles/PMC9741480/ /pubmed/36500018 http://dx.doi.org/10.3390/ma15238523 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ziaja, Dominika Jurek, Michał Wiater, Agnieszka Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement |
title | Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement |
title_full | Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement |
title_fullStr | Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement |
title_full_unstemmed | Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement |
title_short | Elastic Wave Application for Damage Detection in Concrete Slab with GFRP Reinforcement |
title_sort | elastic wave application for damage detection in concrete slab with gfrp reinforcement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741480/ https://www.ncbi.nlm.nih.gov/pubmed/36500018 http://dx.doi.org/10.3390/ma15238523 |
work_keys_str_mv | AT ziajadominika elasticwaveapplicationfordamagedetectioninconcreteslabwithgfrpreinforcement AT jurekmichał elasticwaveapplicationfordamagedetectioninconcreteslabwithgfrpreinforcement AT wiateragnieszka elasticwaveapplicationfordamagedetectioninconcreteslabwithgfrpreinforcement |