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A B-spline multi-parameterization method for multi-material topology optimization of thermoelastic structures.

Authors :
Xu, Zhao
Zhang, Weihong
Gao, Tong
Zhu, Jihong
Source :
Structural & Multidisciplinary Optimization; Mar2020, Vol. 61 Issue 3, p923-942, 20p
Publication Year :
2020

Abstract

A B-spline multi-parameterization method (MPM) is presented in this paper for topology optimization of thermoelastic structures. As thermoelastic topology optimization belongs to a kind of design-dependent problems that are complicated to deal with, this method is aimed to solve thermoelastic problems with multiple materials by means of B-spline parameterization that integrates together the recursive multiphase material interpolation (RMMI) and the uniform multiphase material interpolation (UMMI) schemes. The commonly used discrete pseudo-density variables related to the finite element model are thus replaced with continuous pseudo-density fields dominated by control parameters in the B-spline space. In this sense, B-spline multi-parameterization is used for the first time to represent multiple pseudo-density fields and multi-material properties including elasticity matrix and thermal stress coefficient. Compared with traditional pseudo-density method, the current method has the advantage of not only attaining a reduction of design variables in number but also achieving a regularized distribution of pseudo-density fields with a clear material layout over the whole structure domain. Numerical results show that the stable convergences are achieved with the avoidance of gray elements, checkerboards, and multi-material overlapping owing to the high continuity of B-spline preserved for multi-material distributions. Besides, it is found that the RMMI scheme distributes less stiff materials around stiff materials, while the UMMI scheme tends to gather less stiff materials together. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1615147X
Volume :
61
Issue :
3
Database :
Complementary Index
Journal :
Structural & Multidisciplinary Optimization
Publication Type :
Academic Journal
Accession number :
141899371
Full Text :
https://doi.org/10.1007/s00158-019-02464-8