ACCURACY IN PREDICTING THE COMPRESSIVE STRENGTH OF CONCRETE USING SONREB METHOD

The SonReb method is a non-destructive procedure that is used for determining the compressive strength of existing concrete elements. This procedure consists in applying the results provided by the rebound hammer (RH) and the ultrasonic pulse velocity (UPV) methods, in specific analytical models. Ge...

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Published inBuletinul Institutului Politehnic din Iași. Secția 6, Construcții, arhitectura Vol. 63; no. 3; pp. 97 - 106
Main Authors Chingălată, Costel, Budescu, Mihai, Lupăşteanu, Radu
Format Journal Article
LanguageEnglish
Published Iasi Gheorghe Asachi Technical Universityi of Jassy 01.05.2017
Subjects
Accuracy
Comparative analysis
Compressive strength
Concrete
Destructive testing
Empirical equations
Mathematical models
Model accuracy
Nondestructive testing
Regression analysis
Ultrasonic testing
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Summary:The SonReb method is a non-destructive procedure that is used for determining the compressive strength of existing concrete elements. This procedure consists in applying the results provided by the rebound hammer (RH) and the ultrasonic pulse velocity (UPV) methods, in specific analytical models. Generally, the results provided by the combined method are more accurate than those given by either UPV or RH methods. The analytical models that are used for the SonReb are developed empirically and consist in regression mathematical principles. This paper is structured in two parts: the first one presents the general principles and the main advantages of the SonReb method, while the second part focuses on checking the accuracy of the existing analytical models. For this reason, 11 empirical mathematical equations frequently used in the estimation of the compressive strength values of concrete elements, have been selected. The variables of the mathematical equations are only referring to the experimental data given by the two non-destructive methods, UPV and RH. By comparing the estimated values of the compressive strength with the ones obtained by destructive tests, it has been concluded that only 3 of the 11 models provide accurate and precise results.
ISSN:1224-3884
2068-4762