Title :
Prediction of concrete mechanical behaviour from data at lower ages using artificial neural networks
Author :
Cassa, José C. ; Floridia, Giovanni ; Souza, André R. ; Oliveira, Rodrigo T.
Author_Institution :
Univ. Fed. da Bahia, Salvador, Brazil
Abstract :
The complex mechanical behaviour of concrete is hard to model with traditional mathematical tools. The paper shows how artificial neural networks can be used to predict concrete mechanical strength at the 28 th day by using experimental results from the 1st and 7th days
Keywords :
backpropagation; concrete; materials science; mechanical strength; multilayer perceptrons; artificial neural networks; complex mechanical behaviour; concrete mechanical behaviour; lower ages; mechanical strength; Artificial neural networks; Building materials; Concrete; Equations; Humans; Inorganic materials; Materials science and technology; Mathematical model; Multilayer perceptrons; Transfer functions;
Conference_Titel :
Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-5489-3
DOI :
10.1109/IPMM.1999.792510
