Experimental Evaluation of the Scale of Fluctuation for Spatial Variability Modeling of Chloride-Induced Reinforced Concrete Corrosion

2013 ◽  
Vol 18 (1) ◽  
pp. 3-14 ◽  
Author(s):  
A. J. O’Connor ◽  
O. Kenshel
Keyword(s):  
Reinforced Concrete ◽  
Spatial Variability ◽  
Experimental Evaluation ◽  
Variability Modeling ◽  
Concrete Corrosion ◽  
Scale Of Fluctuation ◽  
Reinforced Concrete Corrosion

The Influence of Anode Profiles for Three Dimensions Numerical Simulation of Reinforced Concrete Corrosion Using Boundary Element Method

2013 ◽  
Vol 686 ◽  
pp. 261-265 ◽  
Author(s):  
M. Ihsan ◽  
Syarizal Fonna ◽  
M. Ridha ◽  
Syifaul Huzni ◽  
A.K. Arrifin
Keyword(s):  
Numerical Simulation ◽  
Reinforced Concrete ◽  
Boundary Element Method ◽  
Boundary Element ◽  
Polarization Curves ◽  
Laplace's Equation ◽  
Concrete Corrosion ◽  
Corrosion Simulation ◽  
Reinforced Concrete Corrosion ◽  
Element Method

The corrosion of structures is needed to be identified early to prevent any severe damage of buildings. The conventional technique such as potential mapping for diagnosing of reinforced concrete corrosion has been used widely in the field. However, the method has limitation such as less accuracy, laborious and time-consuming. This study is conducted to develop boundary element method 3 dimensions by considering polarization curves of anode and cathode for corrosion simulation and analyzed the influences of anode profiles for RC corrosion simulation. In this method, the potential in concrete domain was modeled by Laplace’s equation. The anode and cathode areas were represented by each polarization curves. The numerical simulation result shows that the boundary element method 3 dimensions successfully solved the Laplace’s equation in order to simulate corrosion phenomenon of reinforced concrete. The influences of anode profiles for RC corrosion simulation have been analyzed. Further works are needed to reduce the computational effort of corrosion simulation.

A new method for estimating the scale of fluctuation in reliability assessment of reinforced concrete structures considering spatial variability

2018 ◽  
Vol 21 (13) ◽  
pp. 1951-1962 ◽  
Author(s):  
Yiming Yang ◽  
Jianxin Peng ◽  
Jianren Zhang ◽  
CS Cai
Keyword(s):  
Reinforced Concrete ◽  
Spatial Variability ◽  
Bayesian Information Criterion ◽  
Concrete Structures ◽  
Estimation Method ◽  
Bending Moment ◽  
Information Criterion ◽  
Geometrical Parameters ◽  
Reinforced Concrete Structures ◽  
Scale Of Fluctuation

The scale of fluctuation ( θ) of the material and geometrical parameters is the basis of studying the spatial variability of reinforced concrete structures. In this article, a new estimation method for the scale of fluctuation based on Bayesian information criterion is proposed. And based on the analysis of experimental data recorded on the three 36-year-old beams of the Jianggong Bridge and 246 corroded steel bars, the scale of fluctuation ( θ) of concrete compressive strength ( fc) and steel pitting factor ( R) are estimated. The theoretical bending moment of three test beams are calculated considering the influence of the spatial distributions of fc, R, and other relative variables. The reasonableness and superiority of the Bayesian information criterion model than the auto-correlation function method and the semivariogram function model are verified by comparing the theoretical results with the measured bending moment of the three beams mentioned above.

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