Non-probabilistic reliability-based topology optimization of continuum structures considering local stiffness and strength failure

被引:22
|
作者
Wang, Lei [1 ,2 ]
Xia, Haijun [1 ]
Zhang, Xiaoyu [3 ]
Lv, Zheng [1 ]
机构
[1] Beihang Univ, Inst Solid Mech, Beijing 100191, Peoples R China
[2] Nanyang Technol Univ, Sch Civil & Environm Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[3] CAST, Beijing Inst Spacecraft Syst Engn, Beijing 100094, Peoples R China
关键词
Non-probabilistic reliability-based topology optimization (NRBTO); Stress aggregation function; Unknown-but-bounded (UBB) uncertainty; Interval reliability; Adjoint-vector based sensitivity analysis; DESIGN OPTIMIZATION; INTERVAL; METHODOLOGY; MECHANISMS; SYSTEMS;
D O I
10.1016/j.cma.2018.09.021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study presents a novel non-probabilistic reliability-based topology optimization (NRBTO) framework to determine optimal material configurations for continuum structures under local stiffness and strength limits. Uncertainty quantification (UQ) analysis under unknown-but-bounded (UBB) inputs is conducted to determine the feasible bounds of structural responses by combining a material interpolation model with stress aggregation function and interval mathematics. For safety reasons, improved interval reliability indexes that correspond to displacement and stress constraints are applied in topological optimization issues. Meanwhile, an adjoint-vector based sensitivity analysis is further discussed from which the gradient features between reliability measures and design variables are mathematically deduced, and the computational difficulties in large-scale variable updating can be effectively overcome. Numerical examples are eventually given to demonstrate the validity of the developed NRBTO methodology. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:788 / 809
页数:22
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