Genetic programming to improvement FIB model: bond and anchorage of reinforcing steel in structural concrete

Authors:
Juan Luis Pérez;Ismael Vieito;Juan Rabuñal;Fernando Martínez-Abella
Affiliations:
School of Building Engineering and Technical Architecture, University of A Coruña, Spain;Department of Construction Technology, University of A Coruña, Spain;Department of Information and Communication Technologies, University of A Coruña, Spain;Department of Construction Technology, University of A Coruña, Spain
Venue:
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Year:
2013

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Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams

Advances in Engineering Software

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Abstract

Starting from the FIB database, this work is aimed to analyze the current equations which predict the main datum that can be provided by bond tests: the ultimate bar stress when the failure is reached. Furthermore, Genetic Programming (GP) techniques 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).