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
相关论文
共 50 条
  • [1] Optimization of a Modified Locati Method Using Evolutionary Algorithms
    J. Klemenc
    Experimental Techniques, 2016, 40 : 947 - 958
  • [2] Evolutionary algorithms for the optimization of Modified UNIFAC parameters
    Kleiber, M
    Axmann, JK
    COMPUTERS & CHEMICAL ENGINEERING, 1998, 23 (01) : 63 - 82
  • [3] Fatigue strength analysis of an axial compressor blade using the modified Locati method
    Braut, Sanjin
    Tevcic, Marina
    Butkovic, Mirko
    Zigulic, Roberto
    Bozic, Zeljko
    ENGINEERING FAILURE ANALYSIS, 2022, 141
  • [4] Topology optimization of hyperelastic structures using a modified evolutionary topology optimization method
    Zeyu Zhang
    Yong Zhao
    Bingxiao Du
    Xiaoqian Chen
    Wen Yao
    Structural and Multidisciplinary Optimization, 2020, 62 : 3071 - 3088
  • [5] Topology optimization of hyperelastic structures using a modified evolutionary topology optimization method
    Zhang, Zeyu
    Zhao, Yong
    Du, Bingxiao
    Chen, Xiaoqian
    Yao, Wen
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 62 (06) : 3071 - 3088
  • [6] OPTIMIZATION OF FERROFLUID ACTUATOR USING EVOLUTIONARY ALGORITHMS AND FINITE ELEMENT METHOD
    Petrescu, Camelia
    Ferariu, Lavinia
    Olaru, Radu
    REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE, 2009, 54 (01): : 77 - 86
  • [7] Balanced ranking method for constrained optimization problems using evolutionary algorithms
    Rodrigues, Max de Castro
    Leite Pires de Lima, Beatriz Souza
    Guimaraes, Solange
    INFORMATION SCIENCES, 2016, 327 : 71 - 90
  • [8] Structural optimization using evolutionary algorithms
    Lagaros, ND
    Papadrakakis, M
    Kokossalakis, G
    COMPUTERS & STRUCTURES, 2002, 80 (7-8) : 571 - 589
  • [9] The topology optimization using evolutionary algorithms
    Kokot, G
    Orantek, P
    IUTAM SYMPOSIUM ON EVOLUTIONARY METHODS IN MECHANICS, 2004, 117 : 173 - 186
  • [10] OPTIMIZATION OF TURNING USING EVOLUTIONARY ALGORITHMS
    Cukor, Goran
    Jurkovic, Zoran
    ENGINEERING REVIEW, 2010, 30 (02) : 1 - 10
12345