Title
Use of artificial neural networks for modeling of the test of compressive strength of construction concrete according to the standard ASTM C39/C 39 M
Other title
Uso de las redes neuronales artificiales en el modelado del ensayo de resistencia a compresión de concreto de construcción según la norma ASTM C39/C 39M
Date Issued
01 January 2014
Access level
open access
Resource Type
journal article
Publisher(s)
Centro de Informacion Tecnologica
Abstract
Two artificial neural network models for predicting the results of compressive strength test of a construction concrete after the curing period are proposed. The compressive strength of concrete is one of the most important variables in its quality control. However, these tests are carried out after a period of curing so results of the test are not immediately available. Therefore a reliable mathematical model that would obtain the test results immediately after the curing time These models present correlation coefficients higher than 0.9 and allow reducing the time to obtain the results of compressive strength tests.
Start page
3
End page
12
Volume
25
Issue
4
Language
Spanish
OCDE Knowledge area
Ingeniería industrial
Subjects
Scopus EID
2-s2.0-84908305906
Source
Informacion Tecnologica
ISSN of the container
07168756
Sources of information:
Directorio de Producción Científica
Scopus