### Abstract

In this paper, inverse analysis with the use of Particle Swarm Optimization (PSO) is developed for detecting the corrosion of reinforcing steel in concrete from a relatively small number of potential data measured on the concrete surface. PSO is a promising optimization method due to its simplicity of programming and comparable accuracy. In this proposed inverse analysis using PSO, corrosion profiles represent the location and size of reinforcing steel corrosion. In this method, candidate solution is modeled as a swarm of particles. The objective function, which is proportional to the cost function, is evaluated for the swarm of particles. This function is the difference between the calculated and measured potentials on the concrete surface. The calculated potentials on the surface of the concrete are obtained by solving the Laplace's equation by using the Boundary Element Method (BEM). The corroded and non-corroded parts of the reinforcing steel are represented by each polarization curve. Inverse analysis is carried out by minimizing the cost function using PSO. Examples of the numerical simulation were used to demonstrate the effectiveness of the proposed method. It shows that proposed inverse analysis had promising capability in detecting the corrosion profile of reinforcing steel in concrete.

Original language | English |
---|---|

Pages (from-to) | 585-593 |

Number of pages | 9 |

Journal | Engineering Analysis with Boundary Elements |

Volume | 37 |

Issue number | 3 |

DOIs | |

Publication status | Published - 2013 |

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### Keywords

- Boundary element method
- Corrosion
- Inverse analysis
- Particle swarm optimization
- Reinforced concrete

### ASJC Scopus subject areas

- Analysis
- Applied Mathematics
- Computational Mathematics
- Engineering(all)

### Cite this

*Engineering Analysis with Boundary Elements*,

*37*(3), 585-593. https://doi.org/10.1016/j.enganabound.2013.01.005

**Inverse analysis using particle swarm optimization for detecting corrosion profile of rebar in concrete structure.** / Fonna, S.; Huzni, S.; Ridha, M.; Mohd Ihsan, Ahmad Kamal Ariffin.

Research output: Contribution to journal › Article

*Engineering Analysis with Boundary Elements*, vol. 37, no. 3, pp. 585-593. https://doi.org/10.1016/j.enganabound.2013.01.005

}

TY - JOUR

T1 - Inverse analysis using particle swarm optimization for detecting corrosion profile of rebar in concrete structure

AU - Fonna, S.

AU - Huzni, S.

AU - Ridha, M.

AU - Mohd Ihsan, Ahmad Kamal Ariffin

PY - 2013

Y1 - 2013

N2 - In this paper, inverse analysis with the use of Particle Swarm Optimization (PSO) is developed for detecting the corrosion of reinforcing steel in concrete from a relatively small number of potential data measured on the concrete surface. PSO is a promising optimization method due to its simplicity of programming and comparable accuracy. In this proposed inverse analysis using PSO, corrosion profiles represent the location and size of reinforcing steel corrosion. In this method, candidate solution is modeled as a swarm of particles. The objective function, which is proportional to the cost function, is evaluated for the swarm of particles. This function is the difference between the calculated and measured potentials on the concrete surface. The calculated potentials on the surface of the concrete are obtained by solving the Laplace's equation by using the Boundary Element Method (BEM). The corroded and non-corroded parts of the reinforcing steel are represented by each polarization curve. Inverse analysis is carried out by minimizing the cost function using PSO. Examples of the numerical simulation were used to demonstrate the effectiveness of the proposed method. It shows that proposed inverse analysis had promising capability in detecting the corrosion profile of reinforcing steel in concrete.

AB - In this paper, inverse analysis with the use of Particle Swarm Optimization (PSO) is developed for detecting the corrosion of reinforcing steel in concrete from a relatively small number of potential data measured on the concrete surface. PSO is a promising optimization method due to its simplicity of programming and comparable accuracy. In this proposed inverse analysis using PSO, corrosion profiles represent the location and size of reinforcing steel corrosion. In this method, candidate solution is modeled as a swarm of particles. The objective function, which is proportional to the cost function, is evaluated for the swarm of particles. This function is the difference between the calculated and measured potentials on the concrete surface. The calculated potentials on the surface of the concrete are obtained by solving the Laplace's equation by using the Boundary Element Method (BEM). The corroded and non-corroded parts of the reinforcing steel are represented by each polarization curve. Inverse analysis is carried out by minimizing the cost function using PSO. Examples of the numerical simulation were used to demonstrate the effectiveness of the proposed method. It shows that proposed inverse analysis had promising capability in detecting the corrosion profile of reinforcing steel in concrete.

KW - Boundary element method

KW - Corrosion

KW - Inverse analysis

KW - Particle swarm optimization

KW - Reinforced concrete

UR - http://www.scopus.com/inward/record.url?scp=84873667976&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873667976&partnerID=8YFLogxK

U2 - 10.1016/j.enganabound.2013.01.005

DO - 10.1016/j.enganabound.2013.01.005

M3 - Article

AN - SCOPUS:84873667976

VL - 37

SP - 585

EP - 593

JO - Engineering Analysis with Boundary Elements

JF - Engineering Analysis with Boundary Elements

SN - 0955-7997

IS - 3

ER -