基于首通失效和区间过程理论的双尺度时变可靠拓扑优化

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Xingyu Zhao , Lei Wang
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引用次数: 0

摘要

提出了一种考虑可制造性的基于时变可靠性的双尺度拓扑优化框架。该模型主要研究结构在一般动力荷载作用下的瞬态动力性能。将基于首通道思想的时变区间非概率可靠度理论引入双尺度TO模型中,以评估结构在时间过程中的性能可靠度。为了适应梯度算法,本文重构了部分区间过程时变可靠性指标。结合密度-投影长度尺度控制方法,构建了考虑结构动态顺应性和可制造性的双尺度结构并行TO过程。给出了几个数值算例来说明所提出的to方法的性能和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Double-scale time-dependent reliable topology optimization based on the first-passage failure and interval process theories
In this paper, a time-dependent reliability-based double-scale topology optimization (TO) framework considering manufacturability is proposed. The proposed TO model focuses on the structural transient dynamic performance subjected to general dynamic loads. A time-dependent interval non-probabilistic reliability theory based on the idea of first-passage is introduced into the double-scale TO model to assess the structural performance reliability over the time course of interest. To accommodate the gradient algorithm, a portion of the interval process time-dependent reliability metrics are reconstructed in this paper. Combined with a density-projection length scale control method, a weight reduction concurrent TO process for double-scale structures considering structural dynamic compliance and manufacturability is constructed. Several numerical examples are presented to illustrate the performance and applicability of the proposed TO methodology.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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