Mechanistic model and numerical analysis for corrosion damage of reinforced concrete structure

Liu, Yingdi; Yong-he, LI

doi:10.1023/b:frac.0000025297.39653.59

Cited by 13 publications

(7 citation statements)

References 2 publications

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“…(17) and (18). For illustration purposes, the numerical inverse analysis is performed by using the regression data (see table 4) of the four field specimens (L&L 1-4) reported in [23]. To conduct the analyses, the value of cover depth is assumed (not reported in [23]) to be 25 mm, and the values of h a and h b are considered to be 20 o and 30 o , respectively.…”

Section: Numerical Inverse Analysismentioning

confidence: 99%

“…For illustration purposes, the numerical inverse analysis is performed by using the regression data (see table 4) of the four field specimens (L&L 1-4) reported in [23]. To conduct the analyses, the value of cover depth is assumed (not reported in [23]) to be 25 mm, and the values of h a and h b are considered to be 20 o and 30 o , respectively. The values of T 1 i , t 1 and t 2 obtained through numerical inverse analysis are given in table 5, and figure 13 displays the possible Gaussian distribution of non-structural damages along the circumference of the reinforcing bars based on table 5.…”

Section: Numerical Inverse Analysismentioning

confidence: 99%

“…This section aims to, both numerically and experimentally, validate the application of superposition principle. Figures 14(a) Further, to validate the applicability of superposition approach, trend lines for the corrosion layer thickness (see figure 8(b)) for the experimental data ZHY&J 1 and ZHY&J 2 [23] are considered. Note that corrosion layer thickness data of ZHY&J 1 and ZHY&J 2 correspond to slices of steel bars taken from the middle and corner bars of an RC beam, respectively.…”

Section: Validation Of Superposition Approachmentioning

confidence: 99%

“…However, in most cases, the models assume uniform depth of corrosion penetration along the circumference of the steel bar [2,13,19,20]. Contrary to this assumption, recent investigations on microstructure and the spatial distribution of corrosion products, as well as inspections of steel bars removed from corroded concrete exposed to chloride environments, reveal non-uniform corrosion pattern as the actual situation [21][22][23]. Note that in this work non-uniform corrosion pattern is distinguished from pitting by corrosion scenarios where only a part of the steel bar circumference is corroding and where corrosion is taking place unevenly along the circumference of the steel bar [11,22].…”

Section: Introductionmentioning

confidence: 99%

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Space-time Gaussian models for evaluating corrosion-induced damages in reinforcing bars

Muthulingam

2019

Sādhanā

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Chloride-induced steel reinforcing bars corrosion is a problem of worldwide importance because, in addition to massive industrialization, a majority of human population inhabit marine atmosphere zones where salinity is the main source of built infrastructure deterioration. Reinforced concrete structures vulnerable to chloride-induced corrosion potentially experience two stages of damage, namely non-structural and structural. Till date, with regard to non-uniform corrosion, there is very limited information regarding the significant role played by the non-structural stage of damage in influencing the progression of structural damage. The present work examines the process of non-uniform chloride ingress into concrete due to the existence of the steel bars and its influence on the spatial and temporal variations in the depth of corrosion penetration. Mathematical models in the form of Gaussian functions are proposed to represent space-time variation in corrosion initiation, spatial spread of corrosion penetration depth and corroded bar morphologies, and are compared with literature data. A numerical inverse analysis procedure is introduced to predict space-time evolution of non-structural damage from experimentally observed spatial spread of structural damage. Further, applicability of superposition approach for the evaluation of corrosion-induced stresses around the steel-concrete interface of a corner reinforcing bar is explored and shown to introduce spatial and temporal errors while evaluating structural damages.

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Section: Numerical Inverse Analysismentioning

confidence: 99%

Section: Numerical Inverse Analysismentioning

confidence: 99%

Section: Validation Of Superposition Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Space-time Gaussian models for evaluating corrosion-induced damages in reinforcing bars

Muthulingam

2019

Sādhanā

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“…However, vast majority of models (Liu & Weyers 1998;Kong et al 2002;Li et al 2006;Yu a n et al 2007;Val et al 2009;Bhargava et al 2011) developed assume a uniform corrosion penetration depth along the entire perimeter of the rebar, which is contrary to field observations (e.g. Liu & Li 2004). Owing to the spatially and temporally evolving chloride ion content through concrete cover thickness and to the impermeable nature of steel bars, rebar may not be corroding uniformly along its entire perimeter.…”

Section: Introductionmentioning

confidence: 96%

Numerical assessment of non-uniform corrosion scenarios of rebar in concrete exposed to natural chloride environment

Muthulingam

Rao

2015

Sadhana

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Corrosion of embedded rebars is a classical deterioration mechanism that remains as one of the most significant problems limiting the service life of concrete structures exposed to chloride-laden environments. The primary objective of this study is to propose and verify a numerical framework that can efficiently quantify non-uniform corrosion penetration depth along the perimeter of the rebar in concrete exposed to chloride environment. This framework investigates the corrosion process during both the corrosion initiation and propagation phases by exploring the effects of not only the rebar existence but also its sizes and locations. The corrosion initiation phase is examined through a comprehensive chloride ingress model that identifies the most important parameters that influence the intrusion of chlorides into RC. The corrosion propagation phase is studied based on a decisive parameter, namely, the corrosion rate. In addition, the framework evaluates the non-uniform corrosion states that correspond to two scenarios of corrosion penetration depth: corrosion of segment of the rebar and uneven corrosion along the rebar perimeter. Numerical solution shows that, in general, chloride build-up along the perimeter of the corner bar is not only faster but also higher than that of the middle bar. Moreover, for the given values of cover thickness and water-to-binder ratio, time-to-corrosion initiation for the corner bar is faster than that for the middle bar. Furthermore, the larger the rebar, in general, the bigger the obstruction, and therefore, the higher the chloride build-up. Qualitative comparisons of the evaluated non-uniform corrosion scenarios with the variety of available laboratory and field data show good agreement.

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A novel approach for predicting the lifetime of corroded reinforced concrete structures

Salama,

Ala’ssar,

Eraky

et al. 2024

J Build Rehabil

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Mechanistic model and numerical analysis for corrosion damage of reinforced concrete structure

Cited by 13 publications

References 2 publications

Space-time Gaussian models for evaluating corrosion-induced damages in reinforcing bars

Space-time Gaussian models for evaluating corrosion-induced damages in reinforcing bars

Numerical assessment of non-uniform corrosion scenarios of rebar in concrete exposed to natural chloride environment

A novel approach for predicting the lifetime of corroded reinforced concrete structures

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