SHAPE OPTIMIZATION USING A GENETIC ALGORITHM AND FINITE ELEMENT METHOD

被引：0
|
作者：
Hermann, M. [1 ]
Hrus, T. [1 ]
Kacalek, P. [1 ]
机构：
[1] Tech Univ Liberec, Fac Mech Engn, Dept Mech, Studentska 1402-2, Liberec 46117, Czech Republic
来源：
ENGINEERING MECHANICS 2020 (IM2020) | 2020年
关键词：
Genetic Algorithm; Optimization of Notch; Mass Distribution on the Beam; Finite Element Method; FreeFem plus; Marc-Mentat;
D O I：
10.21495/5896-3-190
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Our study examines an algorithm for searching ideal shapes of parts according to their functions and lifetime. Due to finite element method (hereinafter referred to as the "FEM") we obtain maximal equivalent stress at critical part of component or maximum deformation. This is the value of fitness function for genetic algorithm, which is searching for ideal shape of part according to requirements. The goal of the research is to create a universal algorithm that can be used to optimize any component.
引用
收藏
页码：190 / 193
页数：4
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