University of Hertfordshire

Analysis method of crack propagation data by genetic algorithms

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

  • Marzio Grasso
  • Francesco Penta
  • Paolo Pinto
  • Giovanni Pio Pucillo
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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 Sep 200922 Sep 2009

Publication series

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

Conference

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

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.

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