UPV method for strength detection of high performance concrete

Purpose – This paper aims to present a research finding that establishes a regression model between ultrasonic pulse velocity (UPV) tests and actual strength of high performance concrete (HPC). Design/methodology/approach – In this study, a total of 270 cube samples were made from six different m...

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Main Authors: Khan, S. R. M., Noozaei, J., Kadir, M. R. A., Waleed, A. M. T., Jaafar, M. S.
Format: Article
Published: Emerald Group Publishing Limited 2007
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Online Access:http://eprints.utm.my/id/eprint/17871/
http://dx.doi.org/10.1108/02630800710740985
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spelling my.utm.178712017-10-23T13:30:22Z http://eprints.utm.my/id/eprint/17871/ UPV method for strength detection of high performance concrete Khan, S. R. M. Noozaei, J. Kadir, M. R. A. Waleed, A. M. T. Jaafar, M. S. T Technology (General) TA Engineering (General). Civil engineering (General) Purpose – This paper aims to present a research finding that establishes a regression model between ultrasonic pulse velocity (UPV) tests and actual strength of high performance concrete (HPC). Design/methodology/approach – In this study, a total of 270 cube samples were made from six different mix proportions. The mixes were grouped in two series that consist of nominal maximum aggregate sizes of 10 mm (A10) and 19 mm (A19). Silica fume were used as mineral admixtures at 5 percent, 10 percent and 15 percent of cement in both series. UPV tests were conducted for each of the specimens, followed by destructive strength tests. The tests were carried out for concrete at different ages of between three to 56 days. The destructive test results were used as the true strength of the mixes and the UPV test results were used as strength estimation. Findings – Concrete strength correlations between UPV and destructive tests were analysed for each mix proportions and in each series. These correlations are presented in the form of regression equations that displays standard error of between ±2.4 to ±5.7?MPa regardless of mix for the concrete in series A10. Similarly, in series A19 concrete, standard errors of between ±3.2 to ±6.7?MPa were found. Strength prediction models using UPV for high performance concrete are proposed. The models have overall correlation coefficients above 0.80 for all the mixes. Originality/value – There are no standard relationships that had been established for high performance concrete strength with UPV test methods. The proposed relationship can be used for concrete strength estimation that is normally required in building or structural assessment, especially with the present trend of constructing modern structures using high performance concrete. Emerald Group Publishing Limited 2007 Article PeerReviewed Khan, S. R. M. and Noozaei, J. and Kadir, M. R. A. and Waleed, A. M. T. and Jaafar, M. S. (2007) UPV method for strength detection of high performance concrete. Structural Survey, 25 (1). pp. 61-73. ISSN 0263-080X http://dx.doi.org/10.1108/02630800710740985 10.1108/02630800710740985
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Khan, S. R. M.
Noozaei, J.
Kadir, M. R. A.
Waleed, A. M. T.
Jaafar, M. S.
UPV method for strength detection of high performance concrete
description Purpose – This paper aims to present a research finding that establishes a regression model between ultrasonic pulse velocity (UPV) tests and actual strength of high performance concrete (HPC). Design/methodology/approach – In this study, a total of 270 cube samples were made from six different mix proportions. The mixes were grouped in two series that consist of nominal maximum aggregate sizes of 10 mm (A10) and 19 mm (A19). Silica fume were used as mineral admixtures at 5 percent, 10 percent and 15 percent of cement in both series. UPV tests were conducted for each of the specimens, followed by destructive strength tests. The tests were carried out for concrete at different ages of between three to 56 days. The destructive test results were used as the true strength of the mixes and the UPV test results were used as strength estimation. Findings – Concrete strength correlations between UPV and destructive tests were analysed for each mix proportions and in each series. These correlations are presented in the form of regression equations that displays standard error of between ±2.4 to ±5.7?MPa regardless of mix for the concrete in series A10. Similarly, in series A19 concrete, standard errors of between ±3.2 to ±6.7?MPa were found. Strength prediction models using UPV for high performance concrete are proposed. The models have overall correlation coefficients above 0.80 for all the mixes. Originality/value – There are no standard relationships that had been established for high performance concrete strength with UPV test methods. The proposed relationship can be used for concrete strength estimation that is normally required in building or structural assessment, especially with the present trend of constructing modern structures using high performance concrete.
format Article
author Khan, S. R. M.
Noozaei, J.
Kadir, M. R. A.
Waleed, A. M. T.
Jaafar, M. S.
author_facet Khan, S. R. M.
Noozaei, J.
Kadir, M. R. A.
Waleed, A. M. T.
Jaafar, M. S.
author_sort Khan, S. R. M.
title UPV method for strength detection of high performance concrete
title_short UPV method for strength detection of high performance concrete
title_full UPV method for strength detection of high performance concrete
title_fullStr UPV method for strength detection of high performance concrete
title_full_unstemmed UPV method for strength detection of high performance concrete
title_sort upv method for strength detection of high performance concrete
publisher Emerald Group Publishing Limited
publishDate 2007
url http://eprints.utm.my/id/eprint/17871/
http://dx.doi.org/10.1108/02630800710740985
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