ANALYSIS METHOD OF CRACK PROPAGATION DATA BY GENETIC ALGORITHMS

被引：0
|
作者：
Grasso, M. [1 ]
Penta, F. [1 ]
Pinto, P. [1 ]
Pucillo, G. P. [1 ]
机构：
[1] Univ Naples Federico 2, I-80125 Naples, Italy
来源：
ADVANCES IN FRACTURE AND DAMAGE MECHANICS IX | 2011年 / 452-453卷
关键词：
crack propagation; evolutionary algorithms; fatigue;
D O I：
10.4028/www.scientific.net/KEM.452-453.869
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：869 / 872
页数：4
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