4.7 Article

Practical model for predicting corrosion rate of steel reinforcement in concrete structures

Journal

CONSTRUCTION AND BUILDING MATERIALS
Volume 54, Issue -, Pages 385-401

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2013.12.046

Keywords

Reinforced concrete; Corrosion rate; Concrete resistivity; Cover thickness; Water-to-cement ratio; Chloride content; Relative humidity

Funding

  1. National Natural Science Foundation of China [51168003, 51368006]
  2. Technology Foundation for Selected Overseas Chinese Scholar, Ministry of Human Resources and Social Security of China [2012-258]
  3. Guangxi Natural Science Foundation [2012GXNSFEA053002, 2013GXNSFBA019237]
  4. Guangxi Science and Technology Development Program [1377001-11]
  5. Research Program of Science and Technology of Guangxi Higher Education [2013YB009]

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A practical model for predicting the corrosion rate of steel reinforcement in concrete structures was proposed. The numerical model with nonlinear boundary conditions for the macrocell corrosion of steel reinforcement in concrete structures was established based on the electrochemical principles and the Bulter-Volmer equation. The influences of various parameters such as anode-to-cathode (A/C) ratio, relative humidity, concrete resistivity, cover thickness on the corrosion control mode and corrosion rate of steel reinforcement in concrete structures were then investigated. Finally, a practical model for predicting the corrosion rate of steel reinforcement in concrete structures was proposed based on a comprehensive nonlinear regression analysis with easily quantifiable engineering parameters, such as water-to-cement (W/C) ratio, chloride content, thickness of concrete cover and relative humidity. Model comparison and experimental verification demonstrate that the proposed prediction model is of good accuracy and applicability to real life scenarios in terms of capturing the corrosion behavior of steel reinforcement in different situations. (C) 2013 Elsevier Ltd. All rights reserved.

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