20.500.12556/RUL-32111 Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks 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. ultrasonic pulse velocity young cobcrete compressive strenght artfical neural network hitrost ultrazvoka svež beton tlačna trdnost umetna nevroska mreža true false false Elsevier Angleški jezik Angleški jezik Neznano 2015-07-10 10:12:03 2015-07-10 10:12:03 2022-11-21 15:00:52 0000-00-00 00:00:00 2009 0 0 Str. 53-60 št. 1 Letn. 49 Januar 2009 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 624.012.4 0041-624X 4070241 26569728 US2009_concrete_n.pdf US2009_concrete_n.pdf 1 DA97FE857C788F22E465CF9FC763CD79 3771c66ce63bbd5f68e24a1995d7308eb0123c5f1f22e6bee0bff77841d87ecd 0f13540c-a1ae-11eb-a523-00155dcfd717 20.500.12556/rul/2230654d-50c3-401b-b22b-ffd73a649890 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=85622 Fakulteta za gradbeništvo in geodezijo 0 0 0