2010
DOI: 10.1680/macr.2010.62.6.405
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Flexural strength of corroded reinforced concrete beams

Abstract: The analytical prediction of residual flexural strength of corroded beams has been revisited in the context of relatively larger size beams reinforced with larger diameter tension bars to exclude the size-effect of beams in the proposed modelling and to improve further the accuracy of the analytical method. Most of the past research, including that conducted by the authors, has used smaller size beam specimens to generate test data for modelling. A new experimental programme was undertaken using 48 beams of wi… Show more

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Cited by 91 publications
(71 citation statements)
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“…Various modeling techniques related to bond characteristics are available in the literature (Azad et al 2010;Dekoster et al 2003;Stewart 2004). It is well known that corrosion evidently reduces the bond strength between rebar and concrete (Al-Hammoud et al 2010;Auyeung et al 2000;Yang et al 2015).…”
Section: Introductionmentioning
confidence: 99%
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“…Various modeling techniques related to bond characteristics are available in the literature (Azad et al 2010;Dekoster et al 2003;Stewart 2004). It is well known that corrosion evidently reduces the bond strength between rebar and concrete (Al-Hammoud et al 2010;Auyeung et al 2000;Yang et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Coronelli and Gambarova (2004) employed a bond deterioration index of concrete beam with corrosive conditions in numerical analysis based on non-linear finite element analysis, and the results indicate that bond deterioration significantly influences to determining the residual ductility of a structure. Azad et al (2007Azad et al ( , 2010) used a correction factor to calculate the residual flexural strength of concrete beams with corroded rebar. The earlier research Azad et al (2007) was found that the theoretical predictions were consistently lower than the actual flexural strength of the beams.…”
Section: Introductionmentioning
confidence: 99%
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“…This study extends the empirical model proposed by Azad et al (Mag Concr Res 62(6):405-414, 2010), which considered all the adverse effects of corrosion on steel. We proposed four artificial neural networks (ANN) models to predict the residual flexural strength of corroded RC beams using the same data from Azad et al (2010). We employed two modes of prediction: through the correction factor (C f ) and through the residual strength (M res ).…”
mentioning
confidence: 99%