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http://hdl.handle.net/2183/20801 Genetic programming to improvement FIB model: bond and anchorage of reinforcing steel in structural concrete
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Pérez JL, Vieito I, Rabuñal J, Martínez-Abella F. Genetic programming to improvement FIB model: bond and anchorage of reinforcing steel in structural concrete. Ponencia presentada en: IWANN 2013. 12th International Work-Conference on Artificial Neural Networks; 2013 Jun 12-14; Puerto de la Cruz, Tenerife (Lecture Notes in Computer Science; 7902)
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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).
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The final publication is avaliable at Springer Link







