Optimization of four-parameter FGM sandwich platesusing imperialist competitive algorithm

Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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ISAV03_073

تاریخ نمایه سازی: 29 تیر 1393

Abstract:

This paper deals with volume fraction optimization of Functionally Graded Sandwich(FGSW) rectangular plates for maximizing the first natural frequency. The two-constituentfunctionally graded plate consists of ceramic and metal. These constituents are gradedthrough the thickness of plate. A generalized power-law distribution is considered for the ceramicvolume fraction. The primary optimization variables are the four parameters in thepower-law distribution. Since the search space is large, the optimization processes becomesso complicated and too much time consuming. Thus a novel meta–heuristic called ImperialistCompetitive Algorithm (ICA) which is a socio-politically motivated global search strategy isapplied to find the optimal solution. The performance of ICA is evaluated in comparison withother nature inspired technique Genetic Algorithm (GA). Comparison shows the success ofICA for design of material profile of FGSW plate. Finally the optimized material profile forthe optimization problem is presented

Authors

Jamal Seidi

Sama technical and vacatinal training college, Islamic Azad University,Ilam Branch

Saeed Kamarian

Sama technical and vacatinal training college, Islamic Azad University,Ilam Branch

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