Reliability estimation of corroded RC structures based on spatial variability using experimental evidence, probabilistic analysis and finite element method

Mingyang Zhang, Huijuan Song, Sopokhem Lim, Mitsuyoshi Akiyama, Dan M. Frangopol

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Corrosion of steel reinforcement is spatially distributed over RC structures due to several factors such as different environmental exposure, concrete cover, and concrete quality, among others. Ignoring the effect of spatial variability is a drastic simplification for the prediction of the remaining service life of RC structures. Therefore, it is essential to identify the factors influencing the spatial steel corrosion and structural performance of corroded RC structures. In this paper, an experimental research is conducted to study the effects of main parameters (i.e. current density, concrete cover, rebar diameter, and fly ash)on the spatial variability associated with steel weight loss, corrosion crack, and structural behavior of accelerated-corrosion RC beams using X-ray radiography and digital image processing. The test results showed that low current density (I corr ≤ 50 µA/cm 2 )induced highly non-uniform corrosion associated with few large pits and cracks at certain locations while higher current density produced more uniform corrosion and cracks over the beam length. Gumbel distribution parameters were derived from the steel weight loss data for modeling spatial steel corrosion. A novel approach was established to assess the reliability of RC structures using finite element (FE)analysis and probabilistic analysis considering the effects of modeled spatial variability of steel weight loss based on X-ray photographs. Using the Gumbel distribution parameters derived from the steel weight loss data associated with higher current density may underestimate the non-uniformity of corrosion distribution which can lead to an overestimation of the load capacity of corroded RC structures.

Original languageEnglish
Pages (from-to)30-52
Number of pages23
JournalEngineering Structures
Volume192
DOIs
Publication statusPublished - 2019 Aug 1

Fingerprint

Corrosion
Finite element method
Current density
Steel
Steel corrosion
Concretes
Cracks
X ray radiography
Fly ash
Service life
Reinforcement
Image processing
X rays

Keywords

  • Corroded RC structures
  • Current density
  • Flexural behavior
  • Gumbel distribution
  • Spatial variability of steel corrosion
  • X-ray image

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

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title = "Reliability estimation of corroded RC structures based on spatial variability using experimental evidence, probabilistic analysis and finite element method",
abstract = "Corrosion of steel reinforcement is spatially distributed over RC structures due to several factors such as different environmental exposure, concrete cover, and concrete quality, among others. Ignoring the effect of spatial variability is a drastic simplification for the prediction of the remaining service life of RC structures. Therefore, it is essential to identify the factors influencing the spatial steel corrosion and structural performance of corroded RC structures. In this paper, an experimental research is conducted to study the effects of main parameters (i.e. current density, concrete cover, rebar diameter, and fly ash)on the spatial variability associated with steel weight loss, corrosion crack, and structural behavior of accelerated-corrosion RC beams using X-ray radiography and digital image processing. The test results showed that low current density (I corr ≤ 50 µA/cm 2 )induced highly non-uniform corrosion associated with few large pits and cracks at certain locations while higher current density produced more uniform corrosion and cracks over the beam length. Gumbel distribution parameters were derived from the steel weight loss data for modeling spatial steel corrosion. A novel approach was established to assess the reliability of RC structures using finite element (FE)analysis and probabilistic analysis considering the effects of modeled spatial variability of steel weight loss based on X-ray photographs. Using the Gumbel distribution parameters derived from the steel weight loss data associated with higher current density may underestimate the non-uniformity of corrosion distribution which can lead to an overestimation of the load capacity of corroded RC structures.",
keywords = "Corroded RC structures, Current density, Flexural behavior, Gumbel distribution, Spatial variability of steel corrosion, X-ray image",
author = "Mingyang Zhang and Huijuan Song and Sopokhem Lim and Mitsuyoshi Akiyama and Frangopol, {Dan M.}",
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AU - Zhang, Mingyang

AU - Song, Huijuan

AU - Lim, Sopokhem

AU - Akiyama, Mitsuyoshi

AU - Frangopol, Dan M.

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AB - Corrosion of steel reinforcement is spatially distributed over RC structures due to several factors such as different environmental exposure, concrete cover, and concrete quality, among others. Ignoring the effect of spatial variability is a drastic simplification for the prediction of the remaining service life of RC structures. Therefore, it is essential to identify the factors influencing the spatial steel corrosion and structural performance of corroded RC structures. In this paper, an experimental research is conducted to study the effects of main parameters (i.e. current density, concrete cover, rebar diameter, and fly ash)on the spatial variability associated with steel weight loss, corrosion crack, and structural behavior of accelerated-corrosion RC beams using X-ray radiography and digital image processing. The test results showed that low current density (I corr ≤ 50 µA/cm 2 )induced highly non-uniform corrosion associated with few large pits and cracks at certain locations while higher current density produced more uniform corrosion and cracks over the beam length. Gumbel distribution parameters were derived from the steel weight loss data for modeling spatial steel corrosion. A novel approach was established to assess the reliability of RC structures using finite element (FE)analysis and probabilistic analysis considering the effects of modeled spatial variability of steel weight loss based on X-ray photographs. Using the Gumbel distribution parameters derived from the steel weight loss data associated with higher current density may underestimate the non-uniformity of corrosion distribution which can lead to an overestimation of the load capacity of corroded RC structures.

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