STP511: Application of the Monte Carlo Technique to Fatigue-Failure Analysis under Random Loading

    Itagaki, H
    Visiting senior research associate, and professor of civil engineering, Columbia University, New York, New York

    Shinozuka, M
    Visiting senior research associate, and professor of civil engineering, Columbia University, New York, New York

    Pages: 17    Published: Jan 1972


    Abstract

    Analyzing the fatigue damage of a notched specimen subjected to a random-stress history of narrow-band characteristics, the crack propagation factor is treated as a homogeneous random process reflecting statistical variations of material property within the specimen. On the basis of the proposed statistical-mechanical model of fatigue failure, into which a crack propagation model and a fracture criterion are incorporated, statistical distribution of fatigue life is predicted with the aid of the Monte Carlo technique by digitally simulating the stress history and the crack propagation factor as random processes. The results indicate that the spacial randomness in material property can, and in fact should be considered in order to account for the larger scatter of fatigue life observed in the experiment performed under the conditions compatible with the assumptions used in the analysis.

    Keywords:

    fatigue(materials), fracture(materials), statistical analysis, random processes, loading, stress analysis, crack propagation, Monte Carlo technique, fatigue tests


    Paper ID: STP35409S

    Committee/Subcommittee: E08.05

    DOI: 10.1520/STP35409S


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