OPTIMIZATION OF FGM SANDWICH BEAMS USING IMPERIALIST COMPETITIVE ALGORITHM

被引：0
|
作者：
Kamarian, Saeed [1 ]
Shakeri, Mahmoud [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Mech Engn, Tehran, Iran
来源：
M2D2015: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MECHANICS AND MATERIALS IN DESIGN | 2015年
关键词：
optimization; ICA algorithm; sandwich structures; functionally graded materials;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Sandwich structures are used in a variety of engineering applications including aircraft, construction and transportation where strong, stiff and light structures are required. Recently, the concept of Functionally Graded Materials (FGM) is being actively explored in sandwich structure design. Various material profiles through the thickness of FGM structures can be illustrated by using a generalization of the power-law distribution [1]. In the present work, Imperialist Competitive Algorithm (ICA) that has recently been introduced by AtashpazGargary and Lucas [2] is implemented for dealing with different applications, such as FGM structures [3]. The main goal of this study is to optimize the material volume fraction in a FG sandwich beams to obtain the maximum natural frequency using ICA.
引用
收藏
页码：1515 / 1516
页数：2
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