In this work a mathematical model to estimate the localized corrosion damage propagation in buried structures has been developed considering physicochemical variables of the environment observed in the field (pH, resistivity, redox potential, and electric potential at the soil-metallic structure interface). The model is based upon the concept that damage evolution is an irreversible process. According to the results, this model provides an adequate description of damage evolution and overcomes many of the inconveniences of other models characterized by a power function. The variability of corrosion damages is adequately described by the Gumbel probability distribution function, whose parameters are specified by environmental parameters. Model robustness allows the application in professional practice conditions and provides good damage prediction by using environmental parameters typically measurable in field.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modelling steel corrosion damage in soil environment


    Additional title:

    Modellierung des Korrosionsschadens von Stahl im Erdboden


    Contributors:

    Published in:

    Corrosion Science ; 51 , 11 ; 2628-2638


    Publication date :

    2009


    Size :

    11 Seiten, 6 Bilder, 4 Tabellen, 57 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Mechanical Performance of Steel Ring Restrainers with Corrosion Damage

    Wang, Zhanfei / Ren, Hao / Zhang, Qiang et al. | Springer Verlag | 2022


    Corrosion Damage Behavior of Prestressed Rock Bolts under Aggressive Environment

    Zhu, Jiebing / Wang, Xiaowei / Li, Cong et al. | Springer Verlag | 2019


    Corrosion resistance of stainless steel pipes in soil

    Sjögren, L. / Camitz, G. / Peultier, J. et al. | Tema Archive | 2011


    Corrosion Damage Behavior of Prestressed Rock Bolts under Aggressive Environment

    Zhu, Jiebing / Wang, Xiaowei / Li, Cong et al. | Online Contents | 2019