Updating Durability Models for Concrete Structures in Chlorine Environment Based on Detection Information
Source abstract
Abstract
The assessment of concrete structure durability in chlorine environments is significantly impacted by the uncertainty inherent in existing durability models. It introduces an integrated approach for updating these models based on the detection information of existing structures. This approach narrows the gap between theoretical predictions and observed structural durability. Specifically, we refined the probability model of critical chloride content by analyzing steel bar corrosion sample proportions using Bayesian theory for greater accuracy. The enhanced model enables more reliable life expectancy prediction, forming a solid foundation for maintaining and strengthening existing structures. This method was demonstrated through a case study of a reinforced concrete industrial building with a service life of 12 years.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Concrete Corrosion and Durability · Infrastructure Maintenance and Monitoring · Concrete and Cement Materials Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Architecture and Engineering, Liaocheng University, Liaocheng 252000, China
Funding
National Natural Science Foundation of China (NSFC)
References (33)
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