Topological Derivative-Based Optimization of Micro-Structures Considering Different Multi-Scale Models

被引:0
|
作者
de Souza Neto, E. A. [1 ]
Amstutz, S. [2 ]
Giusti, S. M. [3 ]
Novotny, A. A. [3 ]
机构
[1] Swansea Univ, Sch Engn, Civil & Computat Engn Ctr, Swansea SA2 8PP, W Glam, Wales
[2] Fac Sci, Lab Anal Nonlineaire & Geometrie, F-84000 Avignon, France
[3] MCT, LNCC, BR-25651075 Petropolis, RJ, Brazil
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2010年 / 62卷 / 01期
关键词
Otimization of micro-structures; synthesis of micro-structures; multi-scale modelling; topological derivative; sensitivity analysis; SENSITIVITY-ANALYSIS; HOMOGENIZATION; SHAPE; DESIGN;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A recently proposed algorithm for micro-structural optimization, based on the concept of topological derivative and a level-set domain representation, is applied to the synthesis of elastic and heat conducting bi-material micro-structures. The macroscopic properties are estimated by means of a family of multi-scale constitutive theories where the macroscopic strain and stress tensors (temperature gradient and heat flux vector in the heat conducting case) are defined as volume averages of their microscopic counterparts over a Representative Volume Element (RVE). Several finite element-based examples of micro-structural optimization are presented. Three multi-scale models, providing an upper and a lower bound for the macroscopic properties as well as the classical periodic medium solution, are considered in the optimization process. These models differ only in the kinematical constraints (thermal constraints in the heat conducting case) imposed on the RVE. The examples show that, in general, the obtained optimum micro-structure topology depends on the particular model adopted.
引用
收藏
页码:23 / 56
页数:34
相关论文
共 50 条
  • [21] Topology optimization of multi-scale structures: a review
    Wu, Jun
    Sigmund, Ole
    Groen, Jeroen P.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2021, 63 (03) : 1455 - 1480
  • [22] On Multi-scale Computational Design of Structural Materials Using the Topological Derivative
    Oliver, J.
    Ferrer, A.
    Cante, J. C.
    Giusti, S. M.
    Lloberas-Valls, O.
    ADVANCES IN COMPUTATIONAL PLASTICITY: A BOOK IN HONOUR OF D. ROGER J. OWEN, 2018, 46 : 289 - 308
  • [23] Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications
    Suhail, Zobia
    Zwiggelaar, Reyer
    MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2019, 2020, 1065 : 48 - 58
  • [24] Multi-scale models for the optimization of batch bioreactors
    Liew, Emily Wan-Teng
    Nandong, Jobrun
    Samyudia, Yudi
    CHEMICAL ENGINEERING SCIENCE, 2013, 95 : 257 - 266
  • [25] Multi-scale robust design and optimization considering load uncertainties
    Guo, Xu
    Zhao, Xiaofang
    Zhang, Weisheng
    Yan, Jun
    Sun, Guomin
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2015, 283 : 994 - 1009
  • [26] Multi-scale and multi-material topology optimization of gradient lattice structures using surrogate models
    Costa, M.R.
    Sohouli, A.
    Suleman, A.
    Composite Structures, 2022, 289
  • [27] Multi-scale and multi-material topology optimization of gradient lattice structures using surrogate models
    Costa, M. R.
    Sohouli, A.
    Suleman, A.
    COMPOSITE STRUCTURES, 2022, 289
  • [28] THE AUTOMATIC CALIBRATION OF CONCEPTUAL CATCHMENT MODELS USING DERIVATIVE-BASED OPTIMIZATION ALGORITHMS
    GUPTA, VK
    SOROOSHIAN, S
    WATER RESOURCES RESEARCH, 1985, 21 (04) : 473 - 485
  • [29] The Effect of Micro Nano Multi-Scale Structures on the Surface Wettability
    Lee, Sang Min
    Jung, Im Deok
    Ko, Jong Soo
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2008, 32 (05) : 424 - 429
  • [30] Topological sensitivity analysis of a multi-scale constitutive model considering a cracked microstructure
    Novotny, A. A.
    Sokolowski, J.
    de Souza Neto, E. A.
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2010, 33 (05) : 676 - 686