Estimation of Corrosion Occurrence in RC Structure Using Reliability Based PSO Optimization

Shayanfar, Mohsen Ali; Barkhordari, Mohammad Ali; Ghanooni-Bagha, Mohammad

doi:10.3311/ppci.7588

Cited by 16 publications

(8 citation statements)

References 28 publications

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“…After initial corrosion and during of corrosion propagation, load bearing capacity of RC members decreased [28].…”

Section: Deterioration Processmentioning

confidence: 98%

“…Two types of corrosion -general and pitting -are possible [14]. General corrosion affects on cross section of reinforcement with more or less uniform metal loss over the perimeter of reinforcing bars [28]. It also causes cracking and eventually spalling of the concrete cover and produces rust staining on the concrete surface so it can be detected quite easily during inspection of a structure [39].…”

Section: Introductionmentioning

confidence: 99%

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The effect of materials on the reliability of reinforced concrete beams in normal and intense corrosions

Ghanooni-Bagha¹,

Shayanfar²,

Reza-Zadeh³

et al. 2017

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“…After initial corrosion and during of corrosion propagation, load bearing capacity of RC members decreased [28].…”

Section: Deterioration Processmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

The effect of materials on the reliability of reinforced concrete beams in normal and intense corrosions

Ghanooni-Bagha¹,

Shayanfar²,

Reza-Zadeh³

et al. 2017

EiN

Self Cite

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“…Khatibinia et al [10] introduced a discrete gravitational search algorithm and a meta-modelling framework for RBDO of RC structures including soil-structure interaction. Shayanfar et al [11] estimated the corrosion occurrence in RC structures using reliability based particle swarm optimization. Léger et al [12] performed an RBDO of RC structures with elastomeric isolators using adaptive sparse polynomial chaos expansion.…”

Section: Introductionmentioning

confidence: 99%

Reliability Based Design Optimization of Reinforced Concrete Frames Using Genetic Algorithm

Asghshahr

2021

Period. Polytech. Civil Eng.

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This paper introduces a new framework for reliability based design optimization (RBDO) of the reinforced concrete (RC) frames. This framework is constructed based on the genetic algorithm (GA) and finite element reliability analysis (FERA) to optimize the frame weight by selecting appropriate sections for structural elements under deterministic and probabilistic constraints. Modulus of elasticity of the concrete and steel bar, dead load, live load, and earthquake equivalent load are considered as random variables. Deterministic constraints include the code design requirements that must be satisfied for all the frame elements according to the nominal values of the aforementioned random variables. On the other hand, this framework provides the minimum required reliability index as the probabilistic constraint. The first-order reliability method (FORM) using the Newton-type recursive relationship will be used to compute the reliability index. The maximum inter-story drift is considered as an engineering demand parameter to define the limit-state function in FORM analysis. To implement the proposed framework, a mid-rise five-story RC frame is selected as an example. Based on the analysis results, increasing the minimum reliability index from 6 to 7 causes an 11 % increase in the weight of the selected RC frame as an objective function. So, we can obtain a trade-off between the optimized frame weight and the required reliability index utilizing the developed framework. Furthermore, the high values of the reliability index for the frame demonstrate the conservative nature of code requirements for interstory drift limitations based on the linear static analysis method.

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“…The analysis approach based on the probabilistic method is the most reliable way to solve uncertainty problems. The latter has attracted a lot of interest from researchers recently [1,2,4,5,6,7,8,9]. As reliability concepts are better understood and more software developed, reliabilitybased applications move from simple, hypothetical examples using fictitious data to more complex, practical, and realistic engineering problems [10].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Analysis for Estimation of the Initiation Time of Corrosion

Cherifi

Houmadi

Benali

2019

Mathematical Modelling in Civil Engineering

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In this paper, a probabilistic study on durability concrete was carried out. In such a design, initiation time of corrosion must be expressed as a mathematical model using Fick's second law and the statistical distributions properties of theirs parameters was included in this model. The scatter both in the environmental exposure conditions and structural properties was considered as random fields in the mathematical model with a probabilistic design. The main objective of this study is predicted initiation time of corrosion of concrete structures in chloride containing environments. This probabilistic study is developed using Monte Carlo simulation to determine the contribution of each input parameters and the statistical parameters of the random variables on the probability distribution functions of the initiation time of corrosion. Also, a comparison study was carried out to analyze the impact of the probability distribution on the response (the initiation time of corrosion).

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Estimation of Corrosion Occurrence in RC Structure Using Reliability Based PSO Optimization

Abstract: In this study, meta-heuristic approach of two types of Particle Swarm Optimization (PSO)

Cited by 16 publications

References 28 publications

The effect of materials on the reliability of reinforced concrete beams in normal and intense corrosions

The effect of materials on the reliability of reinforced concrete beams in normal and intense corrosions

Reliability Based Design Optimization of Reinforced Concrete Frames Using Genetic Algorithm

Probabilistic Analysis for Estimation of the Initiation Time of Corrosion

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