Empirical model of corrosion rate for steel reinforced concrete structures in chloride-laden environments

Author:

Lu Zhao-Hui12,Lun Pei-Yuan1,Li Wengui3ORCID,Luo Zhiyu3,Li Yuelin13,Liu Peng1

Affiliation:

1. School of Civil Engineering, Central South University, Changsha, China

2. Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing, China

3. Centre for Built Infrastructure Research (CBIR), School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW, Australia

Abstract

The corrosion rate of reinforcing steel is an important factor to determine the corrosion propagation of reinforced concrete structures in the chloride-laden environments. Since the corrosion rate of reinforcing steel is affected by several coupled parameters, the efficient prediction of which remains challenging. In this study, a total of 156 experimental data on corrosion rate from the literature were collected and compared. Seven empirical models for predicting the corrosion rate were reviewed and investigated using the collected experimental data. Based on the investigations, a new empirical model is proposed for predicting the corrosion rate in corrosion-affected reinforced concrete structures considering parameters including concrete resistivity, temperature, relative humidity, corrosion duration and concrete chloride content. The comparison between the experimental data and those predicted using the new empirical model demonstrates that the new model gives a good prediction of the corrosion rate. Furthermore, the uncertainty and probability characteristics of these empirical models are also investigated. It is found that the probability distributions of the model errors can be described as lognormal, normal, Weibull or Gumbel distributions. As a result, the new empirical model can provide an efficient prediction of the corrosion rate of reinforcing steel, and the model error analysis results can be utilized for reliability-based service life prediction of reinforced concrete structures under chloride-laden environments.

Funder

the State Key Laboratory of Silicate Materials for Architectures (Wuhan University of Technology), China

the National Engineering Laboratory for High-speed Railway Construction, Central South University, China

National Natural Science Foundation of China

Australian Research Council

Publisher

SAGE Publications

Subject

Building and Construction,Civil and Structural Engineering

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