Towards Practical Carbonation Prediction and Modelling for Service Life Design of Reinforced Concrete Structures

2nd International Conference on Innovative Materials, Structures and Technologies

Ekolu, O.S.^1

University of Johannesburg, Department of Civil Engineering Science, Auckland Park 2006, Johannesburg, South Africa^1

关键词: Accelerated testing;    Coefficient of variation;    Constitutive relations;    Durability of concrete structure;    Permeability measurements;    Practical materials;    Scientific community;    Steel reinforcements;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/96/1/012065/pdf
DOI  :  10.1088/1757-899X/96/1/012065

来源: IOP

【 摘 要 】

Amongst the scientific community, the interest in durability of concrete structures has been high for quite a long time of over 40 years. Of the various causes of degradation of concrete structures, corrosion is the most widespread durability problem and carbonation is one of the two causes of steel reinforcement corrosion. While much scientific understanding has been gained from the numerous carbonation studies undertaken over the past years, it is still presently not possible to accurately predict carbonation and apply it in design of structures. This underscores the complex nature of the mechanisms as influenced by several interactive factors. Based on critical literature and some experience of the author, it is found that there still exist major challenges in establishing a mathematical constitutive relation for realistic carbonation prediction. While most current models employ permeability /diffusion as the main model property, analysis shows that the most practical material property would be compressive strength, which has a low coefficient of variation of 20% compared to 30 to 50% for permeability. This important characteristic of compressive strength, combined with its merit of simplicity and data availability at all stages of a structure's life, promote its potential use in modelling over permeability. By using compressive strength in carbonation prediction, the need for accelerated testing and permeability measurement can be avoided. This paper attempts to examine the issues associated with carbonation prediction, which could underlie the current lack of a sound established prediction method. Suggestions are then made for possible employment of different or alternative approaches.