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        Analysis method of crack propagation data by genetic algorithms

        Author
        Grasso, Marzio
        Penta, Francesco
        Pinto, Paolo
        Pucillo, Giovanni Pio
        Attention
        2299/16918
        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.
        Publication date
        2010-11
        Published in
        Advances in Fracture and Damage Mechanics IX
        Published version
        https://doi.org/10.4028/www.scientific.net/KEM.452-453.869
        Other links
        http://hdl.handle.net/2299/16918
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