Inverse analysis using particle swarm optimization for detecting corrosion profile of rebar in concrete structure

Fonna, Syarizal; Huzni, Syifaul; Ridha, M.; Ariffin, Ahmad Kamal

doi:10.1016/j.enganabound.2013.01.005

Cited by 23 publications

(19 citation statements)

References 15 publications

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“…One promising method to solve the ill-posed problem is inverse analysis [24]. Several researchers have explored the application of inverse analysis to solve the rebar corrosion detection in concrete [13,16,21,22], and the method has the potential to be applied in solving the RC corrosion detection problem.…”

Section: Numerical Simulation and Discussionmentioning

confidence: 99%

“…In developing BEM for RC corrosion simulation, the electrical potential field ( ) within the whole RC domain (Ω) is mathematically governed by the Laplace equation as given in [17,18,21]…”

Section: Rc Corrosion Modeling In Bemmentioning

confidence: 99%

“…The relationship between electrical potential and current density ( ) for the domain should follow [21,22]…”

Section: Rc Corrosion Modeling In Bemmentioning

confidence: 99%

“…BEM is formulated to solve the RC model; hence, the electrical potential and current density on concrete and rebar surfaces can be obtained. The procedure of BEM formulation for the RC corrosion case can be found in [21].…”

Section: Rc Corrosion Modeling In Bemmentioning

confidence: 99%

See 3 more Smart Citations

Simulation of the Ill-Posed Problem of Reinforced Concrete Corrosion Detection Using Boundary Element Method

Fonna

Ibrahim

Ridha

et al. 2016

International Journal of Corrosion

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Many studies have suggested that the corrosion detection of reinforced concrete (RC) based on electrical potential on concrete surface was an ill-posed problem, and thus it may present an inaccurate interpretation of corrosion. However, it is difficult to prove the ill-posed problem of the RC corrosion detection by experiment. One promising technique is using a numerical method. The objective of this study is to simulate the ill-posed problem of RC corrosion detection based on electrical potential on a concrete surface using the Boundary Element Method (BEM). BEM simulates electrical potential within a concrete domain. In order to simulate the electrical potential, the domain is assumed to be governed by Laplace's equation. The boundary conditions for the corrosion area and the noncorrosion area of rebar were selected from its polarization curve. A rectangular reinforced concrete model with a single rebar was chosen to be simulated using BEM. The numerical simulation results using BEM showed that the same electrical potential distribution on the concrete surface could be generated from different combinations of parameters. Corresponding to such a phenomenon, this problem can be categorized as an ill-posed problem since it has many solutions. Therefore, BEM successfully simulates the ill-posed problem of reinforced concrete corrosion detection.

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Section: Numerical Simulation and Discussionmentioning

confidence: 99%

“…In developing BEM for RC corrosion simulation, the electrical potential field ( ) within the whole RC domain (Ω) is mathematically governed by the Laplace equation as given in [17,18,21]…”

Section: Rc Corrosion Modeling In Bemmentioning

confidence: 99%

“…The relationship between electrical potential and current density ( ) for the domain should follow [21,22]…”

Section: Rc Corrosion Modeling In Bemmentioning

confidence: 99%

Section: Rc Corrosion Modeling In Bemmentioning

confidence: 99%

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Simulation of the Ill-Posed Problem of Reinforced Concrete Corrosion Detection Using Boundary Element Method

Fonna

Ibrahim

Ridha

et al. 2016

International Journal of Corrosion

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“…One of the promising techniques to improve the performance of half-cell potential mapping is by implementing numerical analysis such as boundary element inverse analysis (BEIA). In the previous study, the boundary element method (BEM) and particle swarm optimization (PSO) were developed into BEIA [11]. BEIA uses measurement data such as the half-cell potential technique to detect rebar corrosion.…”

Section: Introductionmentioning

confidence: 99%

Study of inertia weight parameter for boundary element inverse analysis to detect RC corrosion

Fonna¹,

Gunawarman²,

Huzni³

2018

MATEC Web Conf.

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This research studies the effect of an inconstant inertia weight (W) parameter on boundary element inverse analysis (BEIA) to detect the corrosion of reinforcing steel/rebar in concrete. The boundary element method (BEM) and particle swarm optimization (PSO) were used in developing the BEIA. Several measured electrical potential data from halfcell potential measurements were taken as a reference when performing the BEIA. Numerical simulation of reinforced concrete with single corrosion showed that the use of inconstant W with Wup = 0.5 and Wlow ≤ 0.5 did not affect the performance of the BEIA in corrosion detection. It was similar to the performance of the BEIA using a constant W in a previous study (0.25 ≤ W ≤ 0.5). However, the corrosion can still be detected with acceptable accuracy; that is, with an error of less than 5%. Hence, further research is needed to extend the study with Wup > 0.5 for an inconstant W.

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Boundary Element Inverse Analysis (BEIA) Simulation for Detecting Corrosion Location in Reinforced Concrete

Fathi

Masykuri

Ibrahim

et al. 2021

Proceedings of the 2nd International Conference on Experimental and Computational Mechanics in Engineering

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Inverse analysis using particle swarm optimization for detecting corrosion profile of rebar in concrete structure

Cited by 23 publications

References 15 publications

Simulation of the Ill-Posed Problem of Reinforced Concrete Corrosion Detection Using Boundary Element Method

Simulation of the Ill-Posed Problem of Reinforced Concrete Corrosion Detection Using Boundary Element Method

Study of inertia weight parameter for boundary element inverse analysis to detect RC corrosion

Boundary Element Inverse Analysis (BEIA) Simulation for Detecting Corrosion Location in Reinforced Concrete

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