@inproceedings{78fb587618064219acf70581b4e4d2b4,
title = "Analysis method of crack propagation data by genetic algorithms",
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.",
keywords = "Crack propagation, Evolutionary algorithms, Fatigue",
author = "Marzio Grasso and Francesco Penta and Paolo Pinto and Pucillo, {Giovanni Pio}",
year = "2010",
month = nov,
doi = "10.4028/www.scientific.net/KEM.452-453.869",
language = "English",
isbn = "9780878492411",
series = "Key Engineering Materials",
publisher = "Trans Tech Publications Ltd",
pages = "869--872",
booktitle = "Advances in Fracture and Damage Mechanics IX",
address = "Switzerland",
note = "9th International Conference on Fracture and Damage Mechanics, FDM 2010 ; Conference date: 20-09-2009 Through 22-09-2009",
}