Application of an artificial neural network to ready-mixed concretes mix design

Authors

  • J. Setién División de Ciencia e Ingeniería de los Materiales. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos. Universidad de Cantabria
  • A. Carrascal División de Ciencia e Ingeniería de los Materiales. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos. Universidad de Cantabria
  • J. F. Figueroa División de Ciencia e Ingeniería de los Materiales. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos. Universidad de Cantabria
  • J. A. Polanco División de Ciencia e Ingeniería de los Materiales. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos. Universidad de Cantabria

DOI:

https://doi.org/10.3989/mc.2003.v53.i270.270

Keywords:

neurocomputation, neural networks, data processing, concrete mix, workability

Abstract


This paper presents the practical application of cm artificial neural network (ANN) to the problem of concrete mix in a factory. After a brief introduction to the complex problem of concrete mixes design and a quick review of the fundamental basis of neurocomputation, an optimal neural network model has been developed to cope with such a problem. For training the net, several control mixes have been fabricated recording in all cases both the characteristic 28 days compressive strength and the workability measured in terms of the slump of the Abrams' cone. After the training process of the net, the power of its predictive ability is checked by comparison of the results obtained with those corresponding to four reference mixes; in this way, it is shown that the considered approach can be used in multicriterial search for optimal concrete mixes.

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Published

2003-06-30

How to Cite

Setién, J., Carrascal, A., Figueroa, J. F., & Polanco, J. A. (2003). Application of an artificial neural network to ready-mixed concretes mix design. Materiales De Construcción, 53(270), 5–20. https://doi.org/10.3989/mc.2003.v53.i270.270

Issue

Section

Research Articles