Multi-fidelity robust design optimisation for composite structures based on low-fidelity models using successive high-fidelity corrections

Yoo Kwangkyu; Bacarreza Omar; Aliabadi M. H. Ferri

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Multi-fidelity robust design optimisation for composite structures based on low-fidelity models using successive high-fidelity corrections

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摘要

In this paper, a novel mull-fidelity modelling-based optimisation framework is developed for the robust design of composite structures. The proposed framework provides significant savings on computation time compared to both conventional mull-fidelity and high-fidelity modelling methods while maintaining an acceptable level of accuracy. Artificial neural networks (ANNs) and mull-level optimisation approach are both incorporated into this mull-fidelity modelling formulation. The framework utilises varied High-Fidelity Model (HFM) and Low-Fidelity Model (LFM) covering different design spaces. This means that the HFM has only a few design variables, whereas the LFM explores the entire design spaces during the optimisation process. The proposed multi-fidelity formulation is demonstrated by the robust design optimisation (RDO) of a mono-stringer stiffened composite panel considering design uncertainty under non-linear post-buckling regime.

机译：本文为复合结构的鲁棒设计开发了一种新的基于Mull-PideLity建模的优化框架。与传统的Mull-Peintity和高保真建模方法相比，该框架在计算时间和高保真建模方法中提供了大量节省，同时保持可接受的精度水平。人工神经网络（ANNS）和MPLE级优化方法既结合到该Mull保真建模配方中。该框架利用各种高保真模型（HFM）和低保真模型（LFM）覆盖不同的设计空间。这意味着HFM仅具有少数设计变量，而LFM在优化过程中探讨了整个设计空间。通过单轴加强的复合板的鲁棒设计优化（RDO），考虑在非线性后屈曲的方案下的设计不确定性，通过鲁棒设计优化（RDO）来证明所提出的多保真配方。

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来源
《Composite Structures》 |2021年第3期|113477.1-113477.12|共12页
作者
Yoo Kwangkyu; Bacarreza Omar; Aliabadi M. H. Ferri;
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作者单位

Imperial Coll London Dept Aeronaut London SW7 2AZ England;

Imperial Coll London Dept Aeronaut London SW7 2AZ England;

Imperial Coll London Dept Aeronaut London SW7 2AZ England;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Multi-fidelity model; Robust design optimisation; Multi-level optimisation; Composites; Design uncertainty;

机译：多保真型号;鲁棒设计优化;多层次优化;复合材料;设计不确定性;

Multi-fidelity robust design optimisation for composite structures based on low-fidelity models using successive high-fidelity corrections

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