Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks
Trtnik, Gregor (Author), Kavčič, Franci (Author), Turk, Goran (Author)

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Ultrasonic pulse velocity technique is one of the most popular non-destructive techniques used in the assessment of concrete properties. However, it is very difficult to accurately evaluate the concrete compressive strength with this method since the ultrasonic pulse velocity values are affected by a number of factors, which do not necessarily influence the concrete compressive strength in the same way or to the same extent. This paper deals with the analysis of such factors on the velocity-strength relationship. The relationship between ultrasonic pulse velocity, static and dynamic Young's modulus and shear modulus was also analyzed. The influence of aggregate, initial concrete temperature, type of cement, environmental temperature, and w/c ratio was determined by our own experiments. Based on the experimental results, a numerical model was established within the Matlab programming environment. The multilayer feed-forward neural network was used for this purpose. The paper demonstrates that artificial neural networks can be successfully used in modelling the velocity-strength relationship. This model enables us to easily and reliably estimate the compressive strength of concrete by using only the ultrasonic pulse velocity value and some mix parameters of concrete. (C) 2008 Elsevier B.V. All rights reserved.

Keywords:ultrasonic pulse velocity, young cobcrete, compressive strenght, artfical neural network
Tipology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Number of pages:str. 53-60
Numbering:Letn. 49, št. 1
ISSN on article:0041-624X
COBISS.SI-ID:4070241 Link is opened in a new window
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Record is a part of a journal

Shortened title:Ultrasonics
Publisher:Butterworth Scientific
COBISS.SI-ID:26569728 This link opens in a new window

Secondary language

Keywords:hitrost ultrazvoka, svež beton, tlačna trdnost, umetna nevroska mreža

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