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...

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Published in:Construction and Building Materials
Main Author: Senin S.F.; Hamid R.
Format: Article
Language:English
Published: Elsevier Ltd 2016
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
id 2-s2.0-84952837484
spelling 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
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
record_format scopus
collection Scopus
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