Analysis method of crack propagation data by genetic algorithms
Grasso, Marzio, Penta, Francesco, Pinto, Paolo and Pucillo, Giovanni Pio
(2010)
Analysis method of crack propagation data by genetic algorithms.
TRANS TECH PUBLICATIONS LTD.
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.
Item Type | Other |
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Uncontrolled Keywords | Crack propagation; Evolutionary algorithms; Fatigue |
Subjects |
Materials Science(all) Engineering(all) > Mechanics of Materials Engineering(all) > Mechanical Engineering |
Date Deposited | 26 Jul 2024 13:19 |
Last Modified | 26 Jul 2024 13:19 |
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