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作者:

Du, Jiazheng (Du, Jiazheng.) | Zhang, Ying (Zhang, Ying.) | Meng, Fanwei (Meng, Fanwei.)

收录:

EI Scopus SCIE

摘要:

Traditional topology optimization methods may lead to a great reduction in the redundancy of the optimized structure due to unexpected material removal at the critical components. The local failure in critical components can instantly cause the overall failure in the structure. More and more scholars have taken the fail-safe design into consideration when conducting topology optimization. A lot of good designs have been obtained in their research, though limited regarding minimizing structural compliance (maximizing stiffness) with given amount of material. In terms of practical engineering applications considering fail-safe design, it is more meaningful to seek for the lightweight structure with enough stiffness to resist various component failures and/or to meet multiple design requirements, than the stiffest structure only. Thus, this paper presents a fail-safe topology optimization model for minimizing structural weight with respect to stress and displacement constraints. The optimization problem is solved by utilizing the independent continuous mapping (ICM) method combined with the dual sequence quadratic programming (DSQP) algorithm. Special treatments are applied to the constraints, including converting local stress constraints into a global structural strain energy constraint and expressing the displacement constraint explicitly with approximations. All of the constraints are nondimensionalized to avoid numerical instability caused by great differences in constraint magnitudes. The optimized results exhibit more complex topological configurations and higher redundancy to resist local failures than the traditional optimization designs. This paper also shows how to find the worst failure region, which can be a good reference for designers in engineering.

关键词:

topology optimization multiple constraints Fail-safe design ICM method

作者机构:

  • [ 1 ] [Du, Jiazheng]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang, Ying]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Meng, Fanwei]Beijing Univ Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Du, Jiazheng]Beijing Univ Technol, Beijing 100124, Peoples R China

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来源 :

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

ISSN: 1526-1492

年份: 2021

期: 2

卷: 129

页码: 661-687

2 . 4 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:87

JCR分区:2

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WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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