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

Křivý, Vít; Kubzová, Monika; Konečný, Petr; Kreislová, Kateřina

doi:10.3390/ma12071089

Cited by 20 publications

(15 citation statements)

References 17 publications

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“…Taking into account the very good adhesion of the patina to steel, its uniform colour and fine crystalline nature, as well as the predominance of lepidocrocite over goethite, it can be concluded that the rate of patina formation on these elements is the lowest in the entire structure. This type of patina crystalline state is typical of weathering steel operating under mainly dry conditions with short wetting periods [3,4,25,26]. Lepidocrocite is electrochemically active and acts as a cathode [19], so in the initial period of patina formation, its mass fraction relative to goethite is high; the γ→α transformation rate is also high, and it decreases with time.…”

Section: Resultsmentioning

confidence: 97%

Corrosion Assessment of a Weathering Steel Bridge Structure after 30 Years of Service

et al. 2021

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The first steel with improved resistance towards atmospheric corrosion, the so-called weathering steel, was patented in the USA in 1933 and was initially used for coal railway cars, and after that, in building and bridge engineering. Weathering steels show higher corrosion resistance than carbon steels in many types of atmosphere due to their ability to form a compact, stable, adherent and protective patina during the time of exposure. Morphological evaluation of the appearance of the corrosion product layer, together with phase analysis of its components, can enable determination of the type of patina and the degree of protection of the steel. To support the visual assessment of a patina, a check based on the qualitative and quantitative phase analysis of its components may be carried out, and the PAI (Protective Ability Index) can be calculated. The estimation of the corrosion processes on original Polish-made weathering steel (12HNNbA) was carried out on a 30-year-old bridge in Poland. There are some structural problems within the deck derived not only from corrosion but also steel cracking, both inside and outside the boxes, at different heights. Fourteen representative samples of patina were analysed and their phase structures were determined by the X-ray powder diffraction method. The PAIs were determined and analysed.

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Section: Resultsmentioning

confidence: 97%

Corrosion Assessment of a Weathering Steel Bridge Structure after 30 Years of Service

et al. 2021

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“…In many European countries, these data are processed for structural steel for many years, as in [23][24][25]. In some countries, extensive research has also been devoted to weathering of steel [26,27]. Similar measurements are running also in the Slovak Republic [28,29].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

On the Influence of Corrosion on the Load-Carrying Capacity of Old Riveted Bridges

Gocál¹,

Odrobiňák²

2020

Materials

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Steel corrosion is one of the most dominant factors in the degradation of transport infrastructure. This article deals with the impact of the atmospheric corrosion of structural steel on the load-carrying capacity of old riveted bridge structures. A study on the impact of corrosion losses on the resistance and, thus, the load-carrying capacity of eight chosen bridge members with riveted I-sections from three different bridge substructures is presented. The load-carrying capacity calculation is carried out using modern procedures and on the basis of the diagnosed state of the structural elements. Within the analysis of the results, the need for long-term in situ corrosion measurements, as well as the need for regular inspections on the existing bridges are also discussed.

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“…Figure 4 displays the distribution of the probability density for the end point of the time series (obtained via the HistAn tool [28]). The annual average deposition rate of the concentration of sulfur dioxide in the air experienced a significant change over the past 50 years [26,27]. Figure 2 displays the monitored long-term deposition rate of sulfur dioxide for the selected site of Kopisty.…”

Section: Statistical Analysis-annual Average Deposition Rate Of Somentioning

confidence: 99%

“…Figure 4 displays the distribution of the probability density for the end point of the time series (obtained via the HistAn tool [28]). The deposition rate of chlorides in the air can be ascertained using the methods described in EN ISO 9225 [26,27,29]. Data on the dry deposition of chlorides are currently in short supply for the Czech Republic, and this applies especially for the surroundings of prominent road connections.…”

Section: Statistical Analysis-annual Average Deposition Rate Of Somentioning

confidence: 99%

“…A simplified analysis can be carried out in the form of a parametric study utilizing analytical formulas that define the relationship between input values and the output parameter [35]. Since the inputs of the prediction model are random variables, the recommended procedure for sensitivity analysis is to use probabilistic methods [27,33].…”

Section: Sensitivity Analysis Of Selected Prediction Modelmentioning

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

Cited by 20 publications

References 17 publications

Corrosion Assessment of a Weathering Steel Bridge Structure after 30 Years of Service

Corrosion Assessment of a Weathering Steel Bridge Structure after 30 Years of Service

On the Influence of Corrosion on the Load-Carrying Capacity of Old Riveted Bridges

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

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