Extensive statistical analysis of the variability of concrete rebound hardness based on a large database of 60years experience

Szilágyi, Katalin; Borosnyói, Adorján; Zsigovics, István

doi:10.1016/j.conbuildmat.2013.11.113

Cited by 41 publications

(30 citation statements)

References 17 publications

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“…Best goodness of fit of Dagum distribution was found for the range values and Wakeby distribution for the relative range and the studentized range values. The observed positive skewness in the distribution of the range values is in accordance with literature data [17]. The influence of the removal of the 14 outlier individual rebound indices selected by Peirce's criterion was also tested.…”

Section: Statistical Dispersion Parameters At Test Areassupporting

confidence: 68%

“…4 together with the best goodness of fit Fisher-Tippett (Generalized extreme value, GEV) probability density functions. Positive skewness is observable for both parameters, in accordance with literature data [17]. The influence of the removal of the 14 outlier individual rebound indices selected by Peirce's criterion was again tested.…”

Section: Statistical Variance Parameters At Test Areassupporting

confidence: 54%

“…4) and are expected to show positive skewness in their probability distributions according to the technical literature [17] that is visible in the frequency histograms (Fig. 4).…”

Section: Discussionmentioning

confidence: 99%

“…Considering the rebound hammer test, it can be assumed that the rebound index reading sets of separate test areas are independent and identically distributed (i.i.d.) random variables since it can be supposed that the probability distribution of the rebound index does not change by location within the same structure and the separate test areas can be considered to be mutually independent [17]. Based on these assumptions, the central limit theorem applies for the rebound hammer test; i.e.…”

Section: Normality Of Data For Test Areasmentioning

confidence: 99%

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Variability case study based on in-situ rebound hardness testing of concrete. Part 1. Statistical analysis of inherent variability parameters

Borosnyói¹

2014

Epitoanyag - JSBCM

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statistical analysis has been performed on rebound index data collected in-situ at the bottom surface of a concrete floor over 130 m 2 of testing area. Different measures of inherent variability were calculated. correlations between inherent variability measures were studied. it has been shown that skewed distributions can be fit with the best goodness of fit for the vast majority of the local statistical parameters studied. Application of the Peirce's criterion filtering was demonstrated. inferior local normality of the distribution of rebound index was found for the insitu rebound hardness test results. keywords: structural concrete; nondestructive testing (nDt); Hardness; rebound index; inherent variability Adorján Borosnyói civil engineer (msc), PhD, Associate Professor at Bme Dept. of construction materials and engineering Geology. main fields of interest: cracking and deflection of reinforced concrete, application of non-metallic (FrP) reinforcements for concrete structures, bond in concrete, nondestructive testing of concrete, supplementary cementing materials for high performance concretes, concrete technology. secretary of the fib task Group 4.1 "serviceability models", corresponding member of riLem technical committee 249-isc "non destructive in situ strength assessment of concrete" and chairman of the szte concrete Division.

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Section: Statistical Dispersion Parameters At Test Areassupporting

confidence: 68%

Section: Statistical Variance Parameters At Test Areassupporting

confidence: 54%

“…4) and are expected to show positive skewness in their probability distributions according to the technical literature [17] that is visible in the frequency histograms (Fig. 4).…”

Section: Discussionmentioning

confidence: 99%

Section: Normality Of Data For Test Areasmentioning

confidence: 99%

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Variability case study based on in-situ rebound hardness testing of concrete. Part 1. Statistical analysis of inherent variability parameters

Borosnyói¹

2014

Epitoanyag - JSBCM

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“…random variables since it can be supposed that the probability distribution of the rebound index does not change by location within the same concrete structure and the separate testing locations can be considered to be mutually independent [9]. Based on these assumptions, the central limit theorem applies for the rebound hammer test; i.e.…”

Section: Fig 3 Frequency Histogram Of the Individual Rebound Indicementioning

confidence: 99%

Studies on the spatial variability of rebound hammer test results recorded at in-situ testing

Borosnyói¹,

Szilágyi²

2013

Epitoanyag - JSBCM

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Variability of the in-situ rebound hammer tests is composed of the inherent variability of the measuring method and the spatial variability of the concrete performance properties. In-situ, Schmidt rebound hammer tests were performed at the bottom surface of a concrete slab, with dimensions of 25.0 m × 7.5 m. The studied region on was 22.0 m × 6.0 m. The analysis of the inherent variability of the rebound hammer tests was limited to the comparison of the statistical location parameters; mean, median and mode values. The spatial variability was analysed by contour plots and semivariograms of the statistical location parameters. It was demonstrated that the geostatistical methods may be applicable for the much smaller scale concrete structures than the scale of geological formations. Semivariograms and semivariogram models seem to be useful tools for the characterisation of spatial variability of concrete structures.

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Characterization of surface hardness and microstructure of high performance concrete

Yang

Zhang

She

2018

J. Wuhan Univ. Technol.-Mat. Sci. Edit.

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Extensive statistical analysis of the variability of concrete rebound hardness based on a large database of 60years experience

Cited by 41 publications

References 17 publications

Variability case study based on in-situ rebound hardness testing of concrete. Part 1. Statistical analysis of inherent variability parameters

Variability case study based on in-situ rebound hardness testing of concrete. Part 1. Statistical analysis of inherent variability parameters

Studies on the spatial variability of rebound hammer test results recorded at in-situ testing

Characterization of surface hardness and microstructure of high performance concrete

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