Abstract
Service life modeling of reinforced concrete structures in a chloride environment is mainly performed without considering the loading effects. Different loading effects can produce different service life results. This study presents a theoretical framework for the modeling of the service life of reinforced concrete structures in a chloride environment using loading factors, showing that, depending on the loading nature (either compression or tension), different diffusion results could be obtained. This paper also highlights various approaches to service life modeling, such as the deterministic, probabilistic, and semi-probabilistic, which consider different ways to estimate the service life of reinforced concrete structures in chloride environments. The importance of various distributions for the input parameters in the chloride ingress modeling was examined. The proposed framework includes a procedure to estimate the probability of concrete failure in chloride environments.
Highlights
Service life modeling, in terms of durability, is performed to estimate the service life and performance of reinforced concrete structures
The results showed that the chloride ingress process involved great uncertainties and randomness in material input parameters and structure's geometry
In [12], the factors influencing the chloride transport mechanism such as diffusion coefficient, surface chloride ion concentration, and drying and wetting regimes were analyzed, while the results showed that diffusion coefficient, drying, and wetting influenced the maximum transmission depth
Summary
In terms of durability, is performed to estimate the service life and performance of reinforced concrete structures. Several studies have been conducted for modeling the estimation of service life [1,2,3,4,5,6], presenting various frameworks. In [4], the deterministic approach to analyze service life was reported to fail due to uncertainties on input parameters, while a probabilistic model was proposed and developed. Probabilistic methods including uncertainty parameters for input parameters were presented in [3], considering the sensitivity of the corrosion probability to different parameters and a durable design concrete cover as the most important parameter. A probabilistic model including uncertainties arising from the loadbearing capacity of reinforced concrete structures was proposed in [5]. Pathan et al.: A Theoretical Framework for Service Life Prediction of Reinforced Concrete Structures
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