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Titulo: Genetic Programming to Improvement FIB Model Bond and Anchorage of Reinforcing Steel in Structural Concrete
Tipo: congreso nacional
Congreso: International Work Conference on Artificial Neural Network (IWANN)
Fecha: 12-14/6/2013
Lugar celebracion: Puerto de la Cruz
Volumen: IWANN 2013, Parte I
Paginas: 463-470
ISBN: 978-3-642-38678-7
Libro: LNCS 7902
Editorial: Springer Heidelberg

Abstract:

Starting from the FIB database, this work is aimed to analyze the curent equations which predict the main datum that can be provided by bond test: the ultimate bar stress when the failure is reached. Futhermore, Genetic Programming tehcniques are also applied in order to enhance the expression of the FIB, which achieves the best adjustment so far, giving rise to the new Model Code 2010. The final result shown is a highly predictive equation. The results are compared with those included in the Model Code and it is showed the influence of the main variables on the phenomenon (concrete strength, yield strength of Steel, concrete cover, transverse reinforcement and diameter of the bar.

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