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Stochastic Modeling Of Crackwidth In Reinforced Concrete Beams Subjected To Fatigue Loading

IR@SERC: CSIR-Structural Engineering Research Centre, Chennai

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Title Stochastic Modeling Of Crackwidth In Reinforced Concrete Beams Subjected To Fatigue Loading
 
Creator Balaji Rao, K.
Appa Rao, T.V.S.R.
 
Subject Reinforced concrete
Beams
Fatigue
Cracking
Stochastic process
Markov chain; Probability distribution
 
Description Cracking is one of the serviceability limit states to be considered in the design of reinforced concrete members subjected to fatigue loading. Due to variations in material properties and cross-sectional dimensions, the evolution ofcrackwidth with applied load cycles should be treated as a stochastic process. In this paper a nonhomogeneous Markov chain (NHMC) model is proposed to model the evolution ofmaximum crackwidth with applied load cycles. Formulations for calculating the elements oftransition probability matrix and unconditional probability vector at any applied load cycle have been presented. Assuming that the maximum crackwidth at any stage ofloading cycle and at any two successive loading cycles can be described by truncated univariate and bi-variate normal distributions, respectively, the unconditional probability vectors have been computed, at different applied load cycles, for four beams subjected constant amplitude fatigue loading, and whose test results are available in the literature. By comparing the estimated state with the experimentally observed state at different applied load cycles, it is inferred that (1) it is important to consider the correlation between the maximum crackwidths between two successive applied load cycles (especially at lower applied load cycles); and (2) NHMC model shows promise for modelling fatigue cracking in reinforced concrete beams.
 
Date 2009
2009
2004
 
Type Journal article
 
Identifier Engineering Structures, Vol.26, 2004, p.659–667
http://hdl.handle.net/123456789/54
 
Language en
 
Rights It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
 
Publisher Elsevier