STP801: An Analysis of Random Pits in Corrosion Fatigue: A Statistical Three-Dimensional Evaluation of an Irregularly Corroded Surface

    Kitagawa, H
    Institute of Industrial Science, University of Tokyo, Tokyo,

    Tsuji, K
    Institute of Industrial Science, University of Tokyo, Tokyo,

    Hisada, T
    Institute of Industrial Science, University of Tokyo, Tokyo,

    Hashimoto, Y
    Hitachi Ohira Industry Company Ltd.Research Fellow, Institute of Industrial Science, University of Tokyo, Tokyo,

    Pages: 11    Published: Jan 1983


    Abstract

    A method of statistical evaluation based on two-dimensional spectral analysis is proposed for quantitative determination of irregular configurations of an unnotched surface subjected to corrosion fatigue. For the practical use of the spectral analysis new parameters √A, √B, and α2 are used. These parameters, which characterize the autocorrelation function, correspond to the standard deviation of the surface irregularity, mean depth of the corroded surface, and pit size respectively. The method was applied to unnotched smooth specimens made of structural steel and subjected to fatigue in hydrochloric acid. The specimen surface was covered with many randomly distributed pits. From the results of the analysis, it has been made quantitatively clear that increases in the cyclic stress level or the number of load cycles bring about corrosion pits on the surface.

    Keywords:

    corrosion fatigue, corrosion pit, statistical method, spectral analysis, autocorrelation function


    Paper ID: STP44811S

    Committee/Subcommittee: E08.05

    DOI: 10.1520/STP44811S


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