Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab
The detection of moisture and chloride ingress through concrete cover is important for estimating the extent of corrosion in reinforced concrete (RC) components. The concentrations of the substances are monitored by observing the ground penetrating radar (GPR) amplitude attenuation in water and chlo...
Published in: | Construction and Building Materials |
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Elsevier Ltd
2016
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952837484&doi=10.1016%2fj.conbuildmat.2015.12.156&partnerID=40&md5=479f0c179f3d034304bfebd6216199db |
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2-s2.0-84952837484 Senin S.F.; Hamid R. Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab 2016 Construction and Building Materials 106 10.1016/j.conbuildmat.2015.12.156 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952837484&doi=10.1016%2fj.conbuildmat.2015.12.156&partnerID=40&md5=479f0c179f3d034304bfebd6216199db The detection of moisture and chloride ingress through concrete cover is important for estimating the extent of corrosion in reinforced concrete (RC) components. The concentrations of the substances are monitored by observing the ground penetrating radar (GPR) amplitude attenuation in water and chloride saturated concrete slab samples. The amplitude attenuation significantly correlates with the amount of both substances. Two multiple nonlinear regression models were developed. The proposed models demonstrate a strong correlation with the radar amplitude attenuation data as both substances are varied in the concrete cover. The developed models can be employed to estimate the moisture and free chloride content in - concrete cover for improved quantification of corrosion level. © 2015 Elsevier Ltd. All rights reserved. Elsevier Ltd 09500618 English Article |
author |
Senin S.F.; Hamid R. |
spellingShingle |
Senin S.F.; Hamid R. Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
author_facet |
Senin S.F.; Hamid R. |
author_sort |
Senin S.F.; Hamid R. |
title |
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
title_short |
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
title_full |
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
title_fullStr |
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
title_full_unstemmed |
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
title_sort |
Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab |
publishDate |
2016 |
container_title |
Construction and Building Materials |
container_volume |
106 |
container_issue |
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doi_str_mv |
10.1016/j.conbuildmat.2015.12.156 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952837484&doi=10.1016%2fj.conbuildmat.2015.12.156&partnerID=40&md5=479f0c179f3d034304bfebd6216199db |
description |
The detection of moisture and chloride ingress through concrete cover is important for estimating the extent of corrosion in reinforced concrete (RC) components. The concentrations of the substances are monitored by observing the ground penetrating radar (GPR) amplitude attenuation in water and chloride saturated concrete slab samples. The amplitude attenuation significantly correlates with the amount of both substances. Two multiple nonlinear regression models were developed. The proposed models demonstrate a strong correlation with the radar amplitude attenuation data as both substances are varied in the concrete cover. The developed models can be employed to estimate the moisture and free chloride content in - concrete cover for improved quantification of corrosion level. © 2015 Elsevier Ltd. All rights reserved. |
publisher |
Elsevier Ltd |
issn |
09500618 |
language |
English |
format |
Article |
accesstype |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1814778510142603264 |