Structural Engineering and Mechanics

  • 제84권6호
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  • Pages.831-849
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  • 2022
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Probabilistic evaluation of chloride ingress process in concrete structures considering environmental characteristics

  • Taisen, Zhao (Department of Civil Engineering, Tsinghua University) ;
  • Yi, Zhang (Department of Civil Engineering, Tsinghua University) ;
  • Kefei, Li (Department of Civil Engineering, Tsinghua University) ;
  • Junjie, Wang (Department of Civil Engineering, Tsinghua University)
  • 투고 : 2022.05.17
  • 심사 : 2022.12.14
  • 발행 : 2022.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

One of the most prevalent causes of reinforced concrete (RC) structural deterioration is chloride-induced corrosion. This paper aims to provide a comprehensive insight into the environmental effect of RC's chloride ingress process. The first step is to investigate how relative humidity, temperature, and wind influence chloride ingress into concrete. The probability of initiation time of chloride-induced corrosion is predicted using a probabilistic model that considers these aspects. Parametric analysis is conducted on several factors impacting the corrosion process, including the depth of concrete cover, surface chloride concentration, relative humidity, and temperature to expose environmental features. According to the findings, environmental factors such as surface chloride concentration, relative humidity and temperature substantially impact on the time to corrosion initiation. The long- and short-distance impacts are also examined. The meteorological data from the National Meteorological Center of China are collected and used to analyze the environmental characteristics of the chloride ingress issue for structures along China's coastline. Finally, various recommendations are made for improving durability design against chloride attacks.

키워드

과제정보

The authors gratefully acknowledge the financial support from National Natural Science Foundation of China under project number of Grand No. 52111530234and52111540161. The support from Tsinghua University Initiative Scientific Research Program (20213080003) is also greatly appreciated.

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