Detailed modeling of corrosion macrocells on steel reinforcing in concrete

Kranc, S C; Sagüés, Alberto A.

doi:10.1016/s0010-938x(00)00158-x

Cited by 109 publications

(56 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, Kim et al [8] focused on the surface shape of corroded reinforcing bars and proposed stress-strain curves that are related to the maximum decrement of the cross-sectional area (decrement of the minimum cross-sectional area). It has been pointed out that the corrosion of reinforcing bars does not occur uniformly on the surface of the bar, e.g., Ref [9], and that the distribution of the degree of corrosion, which can be expressed as the cross-sectional area distribution, affects the mechanical properties of corroded reinforcing bars. Kashani et al [10] investigated 3D corrosion patterns using an optical surface measurement technique and proposed a set of probabilistic distribution models for determining the geometrical properties of corroded bars.…”

Section: Tensile Characteristics Evaluation Of Corroded Reinforcing Bmentioning

confidence: 99%

Tensile Characteristics Evaluation of Corroded Reinforcing Bars Extracted from Actual Structures

Kanakubo¹,

Oyado²

2015

JCEA

View full text Add to dashboard Cite

Abstract:The analysis used simple finite elements is performed to simulate the tensile behavior of corroded reinforcing bars extracted from three actual concrete structures. The cross-sectional area of the elements is set to have the actual distribution measured by 3D laser scanner system. The variable factor in the analysis is the length of the elements. The analysis results show that the length of the elements has a major influence on the deformation capacity after yielding. The calculated stress-strain curves, obtained using the elements with a length that is 2 times the bar diameter, are in good agreement with the tensile test results. The calculated stress-strain curves are modeled using a bi-linear model to facilitate the FEA (finite element analysis) of an overall concrete structure. From the analysis results, both the tensile and yield strengths decrease in proportion to the reduction of the minimum cross-sectional area of corroded bars. The ultimate strain has a remarkable decrement as the reduction of the minimum cross-sectional area. Formulas for determining these values are proposed as a function of the decrement ratio of the minimum cross-sectional area of a corroded bar.

show abstract

Section: Tensile Characteristics Evaluation Of Corroded Reinforcing Bmentioning

confidence: 99%

Tensile Characteristics Evaluation of Corroded Reinforcing Bars Extracted from Actual Structures

Kanakubo¹,

Oyado²

2015

JCEA

View full text Add to dashboard Cite

show abstract

“…2, a potential of V 1 is generated by point current source I and mirror point current source IЈ as given in Eq. (8). Also, potential V 2 generated at point P 2 in medium 2 by point current source I and mirror point current source IЈ is determined from mirror current source IЉ assumed again in medium 1 by IЈ and I as given in Eq.…”

Section: (5)mentioning

confidence: 99%

“…Several numerical models including finite element, 5) finite difference, [6][7][8] and boundary element method [9][10][11] have been developed to simulate corrosion of reinforcing materials embedded in concrete. Among them, a corrosion evaluation method using an inverse analysis method of the boundary element method has been conducted to identify the conductivity of concrete and the impedance at the boundary between reinforcement and concrete.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling for Corrosion Environment Estimation Based on Concrete Resistivity Measurement Directly above Reinforcement

2009

View full text Add to dashboard Cite

This study aims to formulate a resistivity model whereby the concrete resistivity expressing the environment of steel reinforcement can be directly estimated and evaluated based on measurement immediately above reinforcement as a method of evaluating corrosion deterioration in reinforced concrete structures. It also aims to provide a theoretical ground for the feasibility of durability evaluation by electric non-destructive techniques with no need for chipping of cover concrete. This Resistivity Estimation Model (REM), which is a mathematical model using the mirror method, combines conventional four-electrode measurement of resistivity with geometric parameters including cover depth, bar diameter, and electrode intervals. This model was verified by estimation using this model at areas directly above reinforcement and resistivity measurement at areas unaffected by reinforcement in regard to the assessment of the concrete resistivity. Both results strongly correlated, proving the validity of this model. It is expected to be applicable to laboratory study and field diagnosis regarding reinforcement corrosion.KEY WORDS: corrosion; nondestructive method; concrete; reinforcing bar; resistivity; mathematical model. judgment when the goal of diagnosis using concrete resistivity is to know the corrosion environment where there is a potential risk of corrosion deterioration.On the other hand, a mathematical model using a Poisson equation in cylindrical coordinates was proposed by presenting a nondestructive method [15][16][17] that represents no damages on the cover of concrete in order to develop a measurement method that can be easily applied to the field. However, this study did not perform an experimental verification for the applicability of the proposed model even though this study presented a sense of direction for a complete nondestructive method.With this as a background, the authors aim to propose a resistivity model that allows the estimation of the resistivity of concrete and reinforcement from the apparent resistivity measurement immediately above reinforcement in order to make an effective diagnosis on-site. In other words, this mathematical model is formulated on the basis of the resistivity of concrete and reinforcing bar, while previous mathematical models for corrosion estimation have ever been focused on the studies to represent the electrochemical response of corrosion.The formation of this mathematical model using the mirror method is concerned with the concrete cover depth for the reinforcement, diameter of reinforcing bars, and electrode intervals as geometrical factors with the resistivity of concrete and reinforcement. Also, this study investigates the validity of the proposed model through the relationship between the results of the experimental measurement of the concrete resistivity and the calculation values estimated by this model. Resistivity Estimation ModelWhen there is a point current source (I) in an infinite isotropic homogeneous medium with a resistivity of r, the potential (f) at a di...

show abstract

“…The physics-based model developed based on electrochemistry is the most common approach. Many researches have been performed to develop a complex corrosion model based on electrochemical principles and Butler-Volmer kinetics [40][41][42][43]. Advanced data filtering method and computer programs were also developed in recent years [44,45].…”

Section: Introductionmentioning

confidence: 99%

Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement

Xia

Yuan

2018

Journal of Sensors

View full text Add to dashboard Cite

Corrosion is one of the key issues that affect the service life and hinders wide application of steel reinforcement. Moreover, corrosion is a long-term process and not visible for embedded reinforcement. Thus, this research aims at developing a self-powered smart sensor system with integrated innovative prediction module for forecasting corrosion process of embedded steel reinforcement. Vibration-based energy harvester is used to harvest energy for continuous corrosion data collection. Spatial interpolation module was developed to interpolate corrosion data at unmonitored locations. Dynamic prediction module is used to predict the long-term corrosion based on collected data. Utilizing this new sensor network, the corrosion process can be automated predicted and appropriate mitigation actions will be recommended accordingly.

show abstract

Detailed modeling of corrosion macrocells on steel reinforcing in concrete

Cited by 109 publications

References 15 publications

Tensile Characteristics Evaluation of Corroded Reinforcing Bars Extracted from Actual Structures

Tensile Characteristics Evaluation of Corroded Reinforcing Bars Extracted from Actual Structures

Mathematical Modeling for Corrosion Environment Estimation Based on Concrete Resistivity Measurement Directly above Reinforcement

Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement

Contact Info

Product

Resources

About