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Home > Publications > International Concrete Abstracts Portal
The International Concrete Abstracts Portal is an ACI led collaboration with leading technical organizations from within the international concrete industry and offers the most comprehensive collection of published concrete abstracts.
Title: Neural networks in the NDT identification of the strength of concrete
Author(s): K. Schabowicz
Appears on pages(s): 371-382
Keywords: non destructive testing, strength
Abstract:This paper presents an application of artificial neural networks to concrete compression strength identification based on parameters determined by nondestructive methods. Three ordinary concretes and three high-performance concretes with a compression strength of 24-105 MPa were investigated. The parameters determined by nondestructive methods, i.e. the ultrasonic method, sclerometric methods and the pull-out method, and the age and bulk density of the concretes were used. A neural network with the Levenberg-Marquardt algorithm was chosen from several networks and successfully applied. The paper presents a methodology for the neural identification of the compression strength of concrete and some results of the investigation.
Polish Academy of Sciences, International Partner Access.
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