Analysis method of crack propagation data by genetic algorithms

Marzio Grasso, Francesco Penta, Paolo Pinto, Giovanni Pio Pucillo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    A practice for analyzing some raw data from fatigue crack growth tests, carried out on specimens obtained from a railway component (wheel), is presented. Despite the data sample is small, it allows to identify the material parameters of the "threshold" propagation model that make this latter amazingly realistic for the examined material. The proposed analysis method is based on the Evolutionary Algorithms theory and uses raw data obtained from C(T) specimens instrumented with crack gauges.

    Original languageEnglish
    Title of host publicationAdvances in Fracture and Damage Mechanics IX
    PublisherTRANS TECH PUBLICATIONS LTD
    Pages869-872
    Number of pages4
    ISBN (Print)9780878492411
    DOIs
    Publication statusPublished - Nov 2010
    Event9th International Conference on Fracture and Damage Mechanics, FDM 2010 - Nagasaki, Japan
    Duration: 20 Sept 200922 Sept 2009

    Publication series

    NameKey Engineering Materials
    Volume452-453
    ISSN (Print)1013-9826

    Conference

    Conference9th International Conference on Fracture and Damage Mechanics, FDM 2010
    Country/TerritoryJapan
    CityNagasaki
    Period20/09/0922/09/09

    Keywords

    • Crack propagation
    • Evolutionary algorithms
    • Fatigue

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