Atmospheric corrosion models

Kreislová, Kateřina; Geiplová, Hana; Bartak, Zdenek; Majtás, Dušan

doi:10.1515/kom-2017-0007

Cited by 9 publications

(9 citation statements)

References 7 publications

(6 reference statements)

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“…The bridges on the D1 highway in Ostrava were designed based on corrosion maps, which mainly considered the concentration of SO 2 in the atmosphere as the main corrosion factor [11]. The SO 2 concentration in the air reached maximum in Central Europe in the 1970s [12,13]. At the time of design and construction of bridges on the D1 highway, these values were significantly lower, see Figure 2.…”

Section: Introductionmentioning

confidence: 99%

Corrosion Processes on Weathering Steel Bridges Influenced by Deposition of De-Icing Salts

et al. 2019

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The safety and durability of bridges designed from weathering steels are conditioned by the development of a sufficiently protective layer of corrosion products. Air pollution, microclimate around the bridge, time of wetness, structural solution of the bridge, and the position and orientation of the surface within the bridge structure all influence the development of protective layers on the surface of the weathering steel. In this article, attention is focused mainly on the microclimatic effects resulting from the road traffic under the bridge. The influence of chloride deposition on the development of corrosion products is evaluated using experimental in situ testing. Two neighboring bridges made of weathering steel and crossing different types of obstacles were selected for this experiment. Relations and dependences between the measured parameters (deposition rate of chlorides, corrosion rates, thickness of corrosion products and the amount of chlorides in corrosion products) are evaluated and discussed.

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Section: Introductionmentioning

confidence: 99%

Corrosion Processes on Weathering Steel Bridges Influenced by Deposition of De-Icing Salts

et al. 2019

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“…It had the greatest impact on steel corrosion rate in the Czech Republic between 1970 and 1980. The subsequent introduction of desulphurization units brought a substantial reduction of SO2 concentration in the atmosphere and the corrosion losses of carbon steel in the Czech Republic, current values stay below 10 µg/m 3 [6][7][8], see Figure 1. Due to the notable decline in SO2 concentrations, chlorine ions (Cl − ) originating from de-icing salt used for winter road maintenance have become much more important factors of corrosive damage.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Corrosion Products on Weathering Steel Bridges Influenced by Chloride Deposition

Křivý

Kubzová

Kreislová

et al. 2017

Metals

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Abstract:The article presents the results of experimental testing of corrosion processes on weathering steel bridges. Two bridge structures spanning various obstacles were selected for the experimental measurement. The tested bridges are situated in the same location and structural solution of these bridges is similar. Differences in development of corrosion products are mainly affected by the microclimate below the bridge structure. Special attention is paid to a bridge over the motorway which is strongly affected by the deposition of chlorides. The dependences between the measured deposition of chlorides and parameters of corrosion layers (thickness of corrosion products, corrosion rates, and chemical composition) are discussed and evaluated in this article.

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“…The corrosion aggressiveness of the atmospheres (the environment) is usually related to the value of expected corrosion losses. The effects of atmospheric corrosion can be described using a model that considers the environmental parameters that affect the corrosive behavior of metals in the following general form [6,14,15]:…”

Section: Introductionmentioning

confidence: 99%

“…The most used and easily accessible methods for determining the corrosivity of the atmosphere, i.e., for estimating the corrosion rate r corr after 1 year of exposure, is the use of previously derived regression formulas, notably dose-response functions. These formulas were obtained for individual types of metals based on long-term experimental evaluations [15,16,20,21]. For carbon steel, it is possible to use one of the following dose-response functions (the same function can also be used for weathering steel):…”

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confidence: 99%

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Probabilistic Prediction of Corrosion Damage of Steel Structures in the Vicinity of Roads

2020

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The design, construction, and maintenance of steel structures must be carried out in a way that ensures they will be able to reliably operate for the whole duration of their planned service life. To ensure sufficient durability, it is necessary to determine and evaluate the characteristics of the appropriate environment in which the structure will be placed. This submission focuses on the specific environment surrounding roads that are treated with de-icing salts during winter maintenance. It investigates the dependency between corrosive damage to the structure and the relevant parameters of the environment. Basic corrosive factors include temperature, relative humidity, deposition of chlorides and sulfur dioxide, precipitation, the pH of precipitation as well as many other parameters. An accurate estimate of corrosive damage requires an analysis of the long-term trends in concentrations of individual corrosive factors, while respecting their randomly varying attributes. The article, hence, introduces and evaluates stochastic prediction models that are based on long-term programs focusing on the evaluation of the corrosive aggressiveness of the environment, while taking into account random variations of the nature of the input parameters. The use of stochastic prediction models allows us to perform sensitivity analysis that can determine the impact of specific corrosive factors on the corrosive damage caused to the structure. The article is supplemented by sensitivity analysis focusing on an evaluation from the effects of the deposition of chlorides on the corrosive damage to steel bridge structures. The analysis was carried out using data obtained from experimental measurements of the deposition rates of chlorides in the vicinity of roads in the Czech Republic.

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Atmospheric corrosion models

Cited by 9 publications

References 7 publications

Corrosion Processes on Weathering Steel Bridges Influenced by Deposition of De-Icing Salts

Corrosion Processes on Weathering Steel Bridges Influenced by Deposition of De-Icing Salts

Characterization of Corrosion Products on Weathering Steel Bridges Influenced by Chloride Deposition

Probabilistic Prediction of Corrosion Damage of Steel Structures in the Vicinity of Roads

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