Artificial neural networks application to predict bond steel-concrete in pull-out tests

Artificial neural networks application to predict bond steel-concrete in pull-out tests

Abstract This study aims the possibility of using the pull-out test results - bond tests steel-concrete, that has been successfully carried out by the research group APULOT since 2008 [1]. This research demonstrates that the correlation between bond stress and concrete compressive strength allows es...

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Bibliographic Details
Main Authors: A. LORENZI, B. V. SILVA, M. P. BARBOSA, L. C. P. SILVA FILHO
Format: Article
Language:English
Published: Instituto Brasileiro do Concreto (IBRACON)
Series:Revista IBRACON de Estruturas e Materiais
Subjects:
bond steel-concrete
artificial neural networks
pull-out test
concrete strength
APULOT test
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952017000501051&lng=en&tlng=en

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