Optimization of a Modified Locati Method Using Evolutionary Algorithms

被引：2
|
作者：
Klemenc, J. [1 ]
机构：
[1] Univ Ljubljana, Fac Mech Engn, Ljubljana, Slovenia
来源：
EXPERIMENTAL TECHNIQUES | 2016年 / 40卷 / 03期
关键词：
Ant-stigmergy Algorithm; Fatigue Strength; Locati Method; Real-valued Genetic Algorithm; S-N Curve; Structural Steel; CURVES;
D O I：
10.1007/s40799-016-0095-8
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The existing modified Locati step-test was improved by pairing it with two evolutionary algorithms that were used to minimize the newly defined cost function that measures the deviation of the "best-fit point'' trace from the selected target number of load cycles. The main advantage of the new procedure over the conventional Locati step-test is that the slopes and intercepts of the material's or the component's S-N curves do not need to be known in advance in order to estimate the fatigue strength at a selected number of load cycles. The presented procedure was tested on two cases with a different target number of load cycles. The results indicate that the presented procedure is adequate to the conventional Locati step-test procedure.
引用
收藏
页码：947 / 958
页数：12
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