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作者:

Liu, Zong-Fa (Liu, Zong-Fa.) | Wu, Bin (Wu, Bin.) | He, Cun-Fu (He, Cun-Fu.) (学者:何存富)

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摘要:

Phononic crystals (PnCs) have attracted considerable interest due to their unique and outstanding band-gap characteristics. In many applications, it is desirable to have a unit cell with specific band-gaps. The distribution of elastic materials within a unit cell has significant effect on the band-gaps, which is extremely difficult to be determined without systematic synthesis method. In this paper, topology optimization techniques are utilized to obtain two-dimensional (2D) square lattice PnCs with maximized relative band-gaps between multiple consecutive bands. The optimization follows two-stage design process using Genetic algorithms (GAs) in combination with finite element method (FEM). Three numerical examples are given to optimize 2D steel/epoxy PnCs in one-eighth symmetry for coupled mode, shear mode and mixed mode respectively. The results show that the optimized PnCs with different band-gaps, which can easily be found by the developed method, have different materials layout, and the PnCs with the lowest order band-gap are simple lattice and have the highest value of application in noise reduction and vibration isolation. Some optimized PnCs with higher order band-gaps have the same lattice as those with the lowest order band-gap, and whose absolute band-gaps are inversely proportional to the minimum feature size of primitive cells. (C) 2015 Elsevier B.V. All rights reserved.

关键词:

Band-gap FEM Genetic algorithm Topology optimization Phononic crystal

作者机构:

  • [ 1 ] [Liu, Zong-Fa]Henan Univ Sci & Technol, Sch Civil Engn, Luoyang 471003, Peoples R China
  • [ 2 ] [Wu, Bin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [He, Cun-Fu]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Liu, Zong-Fa]Henan Univ Sci & Technol, Sch Civil Engn, Luoyang 471003, Peoples R China

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来源 :

ULTRASONICS

ISSN: 0041-624X

年份: 2016

卷: 65

页码: 249-257

4 . 2 0 0

JCR@2022

ESI学科: CLINICAL MEDICINE;

ESI高被引阀值:203

中科院分区:3

被引次数:

WoS核心集被引频次: 28

SCOPUS被引频次: 31

ESI高被引论文在榜: 0 展开所有

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