Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings

Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings

Reinforced concrete is the most widely used construction material and thus effective condition assessment of reinforced concrete elements forms a significant part of structural health monitoring. An effective structural health monitoring system should be able to give the owner prior warning that str...

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Bibliographic Details
Main Authors: Kearsley Elsabe, Jacobsz SW
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201819906011
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spelling doaj-e06e5e4cbd7c4e4db332014de3952f2b2021-02-02T08:14:46ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011990601110.1051/matecconf/201819906011matecconf_iccrrr2018_06011Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratingsKearsley Elsabe0Jacobsz SW1Department of Civil Engineering, University of PretoriaDepartment of Civil Engineering, University of PretoriaReinforced concrete is the most widely used construction material and thus effective condition assessment of reinforced concrete elements forms a significant part of structural health monitoring. An effective structural health monitoring system should be able to give the owner prior warning that structural elements are reaching conditions approaching either serviceability or ultimate limit states. The aim of this investigation is to compare strain data recorded during load testing of a reinforced concrete beam using Fibre optic Bragg Gratings (FBG) and a photographic technique to determine circumstances most suitable for the use of each of the techniques. The test results indicate that FBG sensors can be used to detect small strains as well as large strains in uncracked concrete elements, while optical images can be used to accurately map crack development over the surface area of the structure.https://doi.org/10.1051/matecconf/201819906011
collection DOAJ
language English
format Article
sources DOAJ
author Kearsley Elsabe
Jacobsz SW
spellingShingle Kearsley Elsabe
Jacobsz SW
Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings
MATEC Web of Conferences
author_facet Kearsley Elsabe
Jacobsz SW
author_sort Kearsley Elsabe
title Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings
title_short Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings
title_full Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings
title_fullStr Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings
title_full_unstemmed Condition assessment of reinforced concrete beams – Comparing digital image analysis with optic fibre Bragg gratings
title_sort condition assessment of reinforced concrete beams – comparing digital image analysis with optic fibre bragg gratings
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Reinforced concrete is the most widely used construction material and thus effective condition assessment of reinforced concrete elements forms a significant part of structural health monitoring. An effective structural health monitoring system should be able to give the owner prior warning that structural elements are reaching conditions approaching either serviceability or ultimate limit states. The aim of this investigation is to compare strain data recorded during load testing of a reinforced concrete beam using Fibre optic Bragg Gratings (FBG) and a photographic technique to determine circumstances most suitable for the use of each of the techniques. The test results indicate that FBG sensors can be used to detect small strains as well as large strains in uncracked concrete elements, while optical images can be used to accurately map crack development over the surface area of the structure.
url https://doi.org/10.1051/matecconf/201819906011
work_keys_str_mv AT kearsleyelsabe conditionassessmentofreinforcedconcretebeamscomparingdigitalimageanalysiswithopticfibrebragggratings
AT jacobszsw conditionassessmentofreinforcedconcretebeamscomparingdigitalimageanalysiswithopticfibrebragggratings
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