Prediction of corrosion product thickness by DOProC method

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F23%3A10253716" target="_blank" >RIV/61989100:27120/23:10253716 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Prediction of corrosion product thickness by DOProC method
Original language description
Corrosion coupon analysis is a crucial factor in the proper design of a steel structure's service life. Corrosion coupons should be exposed for a longer amount of time (such as 10 years or more) if a long-term estimation of corrosion losses is needed. Therefore, when designing steel structures exposed to corrosion damage, designers usually use corrosion prediction models or derived corrosion maps. Average annual temperature, average annual relative humidity, average yearly deposition of chloride ions and sulfur dioxide, or average annual concentration of dust particles are usually the main input parameters for these models. This paper presents a stochastic approach to corrosion prediction models. The thickness of the corrosion products after one year of exposure is then determined by processing the input parameters using stochastic methods. The comparison with in-situ measurement data at sites near roadways is also included in the article.
Czech name
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Czech description
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Project
<a href="/en/project/GA22-19812S" target="_blank" >GA22-19812S: Effect of gaseous and traffic induced pollutants on the durability of reinforced concrete structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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