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Uncertain dynamic topology optimization based on the interval reliability evaluation and equivalent static loads (ESLs) algorithm
DOI:10.1007/s00366-022-01737-z.png)
摘要
En 中文
This study investigates an interval reliability-based topology optimization (IRBTO) scheme for the lightweight design of continuum structures under unknown-but-bounded (UBB) dynamic performances. The dynamic response equation is first discretized, and the optimal design can be further converted into a multi-case time-invariant format using the equivalent static loads (ESLs) approach. In view of the inevitability of multi-source uncertainties during the whole design optimization procedure, the set quantitative model and interval dimension-by-dimension method (IDDM) are proposed for the acquisition of the reasonable characterization of uncertain dynamic responses in each iterative layout configuration. For reasons of structural safety and robustness, a new non-probabilistic reliability index oriented to structural average dynamic compliance is defined via the set-interference principle, and its design sensitivity for each elemental intermediate density is correspondingly analyzed. The method of moving asymptotes (MMA) is employed as the optimization problem solver. The usage and validity of the proposed techniques are demonstrated with several numerical examples, eventually.
Keyword:
Interval reliability-based topology optimization (IRBTO)
Equivalent static loads (ESLs) approach
Interval dimension-by-dimension method (IDDM)
Structural average dynamic compliance
The method of moving asymptotes (MMA)
期刊
IF:
4.9
论文数:
2.7K
被引数:
9.3K
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引用论文
Simultaneous topology, shape, and size optimization of trusses, taking account of uncertainties using multi-objective evolutionary algorithms同时进行桁架的拓扑,形状和尺寸优化,并考虑使用多目标进化算法的不确定性
Non-probabilistic reliability-based topology optimization of geometrically nonlinear structures using convex models基于凸模型的几何非线性结构的非概率可靠性拓扑优化

