Multi geometrical scale optimization for porous structure and material with multi-objective of structural compliance and thermal deformation

被引:0
|
作者
Yan, Jun [1 ]
Deng, Jiadong [1 ]
Cheng, Gengdong [1 ]
机构
[1] State Key Lab of Structural Analysis for Industrial Equipment and Dept. of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, China
来源
关键词
Density functional theory - Structural design - Shape optimization - Ceramic materials - Thermal expansion - Geometry - Porous materials - Structural optimization;
D O I
暂无
中图分类号
学科分类号
摘要
A new multi-objective optimization formulation is developed for the multi geometrical scale topology optimization of the load carrying spacecraft structures composed of porous ceramic materials, which combines high stiffness with low thermal expansion in a predefined domain. The objective function is composed of two items. One is to minimize the structural compliance when only the mechanical loads are applied on structures, while the other is to minimize the thermal expansion of the outer spacecraft structure surface when only the thermal loads are applied. The two items are both normalized and then jointed through weighted coefficients to form a multi-objective function. The independent macro and micro densities are introduced as the design variables and penalization approaches are adopted in both scales, i.e. SIMP (Solid Isotropic Material Penalization) in micro material scale and PAMP (Porous Anisotropic Material Penalization) in macro structure scale. Optimizations of the two geometrical scales are integrated into one system through homogenization theory. The volume preserving nonlinear density filtering based on Heaviside step function is used to prevent checkerboard patterns and to obtain a clear design. We apply the proposed multi-objective optimization model to a sandwich elliptically curved shell to investigate the concurrent multi-scale design of structure configuration and microstructure of porous ceramic. The numerical examples demonstrate that the porous material is conducive to enhance the multi-objective performances of curve shell structure when the available amount of material is insufficiently given. And an optimum material volume fraction is observed for the multi-objective optimization problem. The influence of thickness of surface sheets on the optimal design is investigated at last.
引用
收藏
页码:119 / 132
相关论文
共 50 条
  • [31] A survey of multi-objective metaheuristics applied to structural optimization
    Gustavo R. Zavala
    Antonio J. Nebro
    Francisco Luna
    Carlos A. Coello Coello
    Structural and Multidisciplinary Optimization, 2014, 49 : 537 - 558
  • [32] Structural multi-objective optimization based on neural network
    Wu, JG
    Xie, ZR
    OPTIMIZATION OF STRUCTURAL AND MECHANICAL SYSTEMS, PROCEEDINGS, 1999, : 257 - 262
  • [33] Multi-Objective Structural Optimization of a Wind Turbine Tower
    Zheng Y.
    Zhang L.
    Pan Y.
    He Z.
    Zheng, Yuqiao (zhengyuqiaolut@163.com), 1600, Shanghai Jiaotong University (25): : 538 - 544
  • [34] Multi-objective structural optimization of a HAWT composite blade
    Dal Monte, Andrea
    Castelli, Marco Raciti
    Benini, Ernesto
    COMPOSITE STRUCTURES, 2013, 106 : 362 - 373
  • [35] Multi-objective constrained Bayesian optimization for structural design
    Alexandre Mathern
    Olof Skogby Steinholtz
    Anders Sjöberg
    Magnus Önnheim
    Kristine Ek
    Rasmus Rempling
    Emil Gustavsson
    Mats Jirstrand
    Structural and Multidisciplinary Optimization, 2021, 63 : 689 - 701
  • [36] Thermal–structure coupling analysis and multi-objective optimization of motor rotor in MSPMSM
    Luxin ZHAI
    Jinji SUN
    Xin MA
    Weitao HAN
    Xiaosan LUO
    Chinese Journal of Aeronautics, 2019, (07) : 1733 - 1747
  • [37] Thermal–structure coupling analysis and multi-objective optimization of motor rotor in MSPMSM
    Luxin ZHAI
    Jinji SUN
    Xin MA
    Weitao HAN
    Xiaosan LUO
    Chinese Journal of Aeronautics, 2019, 32 (07) : 1733 - 1747
  • [38] Multi-objective optimization of a residential solar thermal combisystem
    Rey, Anthony
    Zmeureanu, Radu
    SOLAR ENERGY, 2016, 139 : 622 - 632
  • [39] Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem
    Peerlinck, Amy
    Sheppard, John
    2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2022,
  • [40] Multi-objective boxing match algorithm for multi-objective optimization problems
    Tavakkoli-Moghaddam, Reza
    Akbari, Amir Hosein
    Tanhaeean, Mehrab
    Moghdani, Reza
    Gholian-Jouybari, Fatemeh
    Hajiaghaei-Keshteli, Mostafa
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 239