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Title |
Corrosion Possibility Simulation on RC Structures with Temperature-Dependent Diffusion
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Authors |
김형기(Hyeong-Ki Kim) ; 권성준(Seung-Jun Kwon) |
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DOI |
https://doi.org/10.4334/JKCI.2025.37.3.269 |
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Keywords |
내구성 설계; 확률론적 방법; MCS; 내구수명; 활성화 에너지; 피복두께 durability design; probabilistic method; MCS (Monte-Carlo Simulation); service life; activation energy |
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Abstract |
A fundamental Monte Carlo Simulation (MCS) approach for modeling chloride diffusion was expanded by incorporating both the increase in the diffusion coefficient at elevated temperatures and its associated variability as input parameters. Using this method, the probability of reinforcement corrosion was simulated as a function of exposure duration period and concrete cover depth. Additionally, the durability failure probability was recalculated by considering the time-dependent behavior of the chloride diffusion coefficient and the effects of temperature as the diffusion period increased. The estimated service life was then compared with deterministic durability design results obtained using the LIFE365 program. The comparison showed that lower temperatures andgreater cover depths led to a lower probability of durability failure and extended the projected service life. The probabilistic service life estimation method generally provided more conservative results due to the influence of variability (coefficient of variation) indesign parameters and the adoption of a low target failure probability. However, since LIFE365 adopted a significantly high activation energy for diffusion, the difference between the two approaches decreased with increasing exposure temperature.
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