Multi-objective topology optimization of two-dimensional multi-phase microstructure phononic crystals

被引:28
|
作者
Xu, Weikai [1 ]
Ning, Jinying [1 ]
Lin, Zibin [1 ]
Qi, Wuchao [1 ]
Liu, Hongliang [1 ]
Wang, Wei [2 ]
机构
[1] Shenyang Aerosp Univ, Key Lab Liaoning Prov Composite Struct Anal Aeroc, Shenyang 110136, Peoples R China
[2] Shenyang Jianzhu Univ, Sch Civil Engn, Shenyang 110168, Peoples R China
基金
中国国家自然科学基金;
关键词
Phononic crystal; Multi-phase microstructures; Multi-objective topology optimization; BAND-GAPS; GENETIC ALGORITHM; DISPERSIVE ELASTODYNAMICS; DESIGN; COMPOSITE; 1D; ATTENUATION;
D O I
10.1016/j.mtcomm.2019.100801
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The band gap (BGs) of a material can be manipulated by tailoring its periodic microstructure. The phononic crystals (PnCs), representative of a periodically arranged structural material, are conventionally manufactured from single-phase or two-phase materials. In this study, we investigate the multi-objective topology optimization (MOTO) of periodic three-solid-phase PnCs. With a method of two-stage multi-objective genetic algorithm, the microstructures of the three-solid-phase PnCs were designed to exhibit the desired novel properties. Three case studies were obtained as follows: (1) maximum relative band gap width (RBGW) with a minimum mass, (2) maximum absolute band gap width (ABGW) at two different specified frequencies, and (3) maximum ABGW at specified mid-frequency. All the cases were effective for the MOTO of PnCs, and the Pareto optimal solution set could give the balance of the different competed objectives. Further, the principal mechanisms responsible for the creation of BGs, whether Bragg scattering or local resonance, are discussed. Moreover, comparing with the normal 2-phase materials, suchlike a wider lower-frequency BGs, some important advantages unveiled with the appearance of the three-solid-phase material.
引用
下载
收藏
页数:8
相关论文
共 50 条
  • [41] A multi-objective optimization approach to the parameter determination of constitutive plasticity models for the simulation of multi-phase load histories
    Sinaie, S.
    Heidarpour, A.
    Zhao, X. L.
    COMPUTERS & STRUCTURES, 2014, 138 : 112 - 132
  • [42] SUSTAINABLE DESIGN OF RESIDENTIAL NET-ZERO ENERGY BUILDINGS: A MULTI-PHASE AND MULTI-OBJECTIVE OPTIMIZATION APPROACH
    Lan, Lan
    Wood, Kristin L.
    Yuen, Chau
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 2A, 2020,
  • [43] Integrated topology and packaging optimization for multi-phase multi-component problems
    Stephen William Knox Roper
    Il Yong Kim
    Structural and Multidisciplinary Optimization, 2022, 65
  • [44] A Two-phase evolutionary algorithm framework for multi-objective optimization
    Jiang, Siyu
    Chen, Zefeng
    APPLIED INTELLIGENCE, 2021, 51 (06) : 3952 - 3974
  • [45] A Two-phase evolutionary algorithm framework for multi-objective optimization
    Siyu Jiang
    Zefeng Chen
    Applied Intelligence, 2021, 51 : 3952 - 3974
  • [46] Integrated topology and packaging optimization for multi-phase multi-component problems
    Roper, Stephen William Knox
    Kim, Il Yong
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (05)
  • [47] Bionic topology optimization design and multi-objective optimization of guide arm
    Zhu, Yifan
    Xu, Fengxiang
    Deng, Xianglin
    Niu, Xiaoqiang
    Zou, Zhen
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024,
  • [48] Inverse design of high-Q wave filters in two-dimensional phononic crystals by topology optimization
    Dong, Hao-Wen
    Wang, Yue-Sheng
    Zhang, Chuanzeng
    ULTRASONICS, 2017, 76 : 109 - 124
  • [49] Multi-objective aerodynamic optimization of two-dimensional hypersonic forebody-inlet based on the heuristic algorithm
    Fu, Junjie
    Qu, Feng
    Liu, Qingsong
    Sun, Di
    Bai, Junqiang
    AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 123
  • [50] Directional Design of Materials Based on Multi-Objective Optimization: A Case Study of Two-Dimensional Thermoelectric SnSe
    Yan, Shenshen
    Wang, Yi
    Gao, Zhibin
    Long, Yang
    Ren, Jie
    CHINESE PHYSICS LETTERS, 2021, 38 (02)