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논문 기본 정보

자료유형
학술저널
저자정보
Phu Tho Nguyen (Université de Nantes) Emilio Bastidas-Arteaga (Université de Nantes) Ouali Amiri (Université de Nantes) Charbel-Pierre El Soueidy (Université de Nantes)
저널정보
한국콘크리트학회 International Journal of Concrete Structures and Materials International Journal of Concrete Structures and Materials Vol.11 No.2
발행연도
2017.6
수록면
199 - 213 (15page)

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초록· 키워드

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Chloride penetration is among the main causes of corrosion initiation in reinforced concrete (RC) structures producing premature degradations.Weather and exposure conditions directly affect chloride ingress mechanisms and therefore the operational service life and safety of RC structures. Consequently, comprehensive chloride ingress models are useful tools to estimate corrosion initiation risks and minimize maintenance costs for RC structures placed under chloride-contaminated environments. This paper first presents a coupled thermo-hydro-chemical model for predicting chloride penetration into concrete that accounts for realistic weather conditions. This complete numerical model takes into account multiple factors affecting chloride ingress such as diffusion, convection, chloride binding, ionic interaction, and concrete aging. Since the complete model could be computationally expensive for long-term assessment, this study also proposes model simplifications in order to reduce the computational cost. Long-term chloride assessments of complete and reduced models are compared for three locations in France (Brest, Strasbourg and Nice) characterized by different weather and exposure conditions (tidal zone, de-icing salts and salt spray). The comparative study indicates that the reduced model is computationally efficient and accurate for long-term chloride ingress modeling in comparison to the complete one. Given that long-term assessment requires larger climate databases, this research also studies how climate models may affect chloride ingress assessment. The results indicate that the selection of climate models as well as the considered training periods introduce significant errors for mid- and long- term chloride ingress assessment.

목차

Abstract
1. Introduction
2. Modeling Chloride Ingress
3. Climate Data and Modeling Climate Evolution
4. Illustrative Example
5. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2018-532-000881210