Probabilistic modeling and reliability-based service life prediction of sulfate-attacked concrete
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Le résumé fourni par la source
External sulfate attack is a major durability threat to reinforced concrete structures. However, unlike carbonation- and chloride-induced deterioration, reliability-based service-life prediction methods for sulfate attack remain largely unavailable. To address this gap, this study proposes a probabilistic durability and structural reliability framework by extending a previously established deterministic failure-thickness model into a stochastic deterioration model. Experimental data together with approximately 14,000 chemo-diffusion-mechanical (CDM) simulation results are used to characterize the statistical properties of sulfate-induced failure thickness. A model uncertainty factor is introduced to quantify the discrepancy between the analytical model and CDM simulations, thereby establishing a stochastic prediction model for failure-thickness evolution. A sulfate-specific durability limit state is formulated by linking corrosion initiation to the evolution of failure thickness relative to the effective concrete cover depth. Analytical reliability analysis is subsequently employed to evaluate the time-dependent reliability evolution and service life under different sulfate concentrations and cover depths. The framework is further extended to structural performance assessment by incorporating reinforcement corrosion and time-dependent resistance degradation. The results show that increasing sulfate concentration significantly shortens the predicted service life, whereas increasing concrete cover thickness significantly extends the predicted service life. Sensitivity analyses indicate that the sulfate-attack residual depth has the greatest influence on service-life prediction, while the calibrated model uncertainty has only a limited effect, demonstrating the robustness of the proposed framework. The proposed framework provides a probabilistic basis for reliability-based durability design, service-life prediction, and life-cycle management of reinforced concrete structures exposed to sulfate environments.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Probabilistic modeling and reliability-based service life prediction of sulfate-attacked concrete
- Date Crossref
- 01/09/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Shenzhen Polytechnic University pays non établi dans la noticeUniversité ou école supérieure
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Shenzhen Institute of Information Technology pays non établi dans la noticeUniversité ou école supérieure
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Harbin Institute of Technology pays non établi dans la noticeUniversité ou école supérieure
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China State Construction Engineering (China) pays non établi dans la noticeEntreprise
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School of Construction Engineering pays non établi dans la noticeUniversité ou école supérieure
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Guangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering pays non établi dans la noticeStructure de recherche
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School of Intelligent Civil and Marine Engineering pays non établi dans la noticeUniversité ou école supérieure
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China State Construction Hailong Technology Co. pays non établi dans la noticeOrganisation à but non lucratif
Shenzhen Polytechnic University, Shenzhen Institute of Information Technology et Harbin Institute of Technology, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.