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

URLURL - Predstavitvena datoteka, za dostop obiščite http://drugg.fgg.uni-lj.si/3363/ Novo okno
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Izvleček
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.

Jezik:Angleški jezik
Ključne besede:ultrasonic pulse velocity, young cobcrete, compressive strenght, artfical neural network
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Leto izida:2009
Založnik:Elsevier
Št. strani:str. 53-60
Številčenje:Letn. 49, št. 1
UDK:624.012.4
ISSN pri članku:0041-624X
COBISS.SI-ID:4070241 Povezava se odpre v novem oknu
Število ogledov:336
Število prenosov:113
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
Skupna ocena:(0 glasov)
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Gradivo je del revije

Naslov:Ultrasonics
Skrajšan naslov:Ultrasonics
Založnik:Butterworth Scientific
ISSN:0041-624X
COBISS.SI-ID:26569728 Novo okno

Sekundarni jezik

Jezik:Angleški jezik
Ključne besede:hitrost ultrazvoka, svež beton, tlačna trdnost, umetna nevroska mreža

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