Multi-fidelity multidisciplinary meta-model based optimization of a slender body with fins

IF 2.3 4区 工程技术 Q2 ENGINEERING, MECHANICAL
Saidi Noureddine, Derbal Salh Eddine, Andrea Magrini, Khalfallah Smail, Cerdoun Mahfoudh, Ernesto Benini
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引用次数: 0

Abstract

Multidisciplinary design optimization (MDO) involving aero-elastic simulations still proves challenging for computational cost. This paper proposes a competitive cost-effective multi-fidelity MDO strategy based on two ideas. Firstly, a new multi-fidelity fluid-structure interaction model (MF-FSI) is proposed, allowing a considerable saving of the FSI simulation cost. Secondly, the optimization cost is further reduced using a meta-model approximation of the MF-FSI computations during optimization. Therefore, the MF-FSI model is validated on an experimental case of supersonic projectile fins. Then, it is combined with a meta-model-based optimization strategy (MBO) to improve the fins design. The constrained multi-objective problem aiming to maximize the lift-to-drag ratio and minimize the fin mass is solved using both high-fidelity (HFMDO) and multi-fidelity (MFMDO). The results showed that the proposed MFMDO strategy could produce the same optimal solutions as the HFMDO one with a 52% lower cost.
基于多保真多学科元模型的带鳍细长体优化设计
事实证明,涉及航空弹性模拟的多学科设计优化(MDO)在计算成本方面仍具有挑战性。本文基于两个理念,提出了一种具有竞争力的高性价比多保真 MDO 策略。首先,提出了一种新的多保真度流固耦合模型(MF-FSI),从而大大节省了流固耦合模拟成本。其次,在优化过程中,使用元模型近似计算 MF-FSI 可进一步降低优化成本。因此,MF-FSI 模型在超音速弹丸翅片的实验案例中得到了验证。然后,将其与基于元模型的优化策略(MBO)相结合,以改进鳍片设计。利用高保真(HFMDO)和多保真(MFMDO)解决了以升阻比最大化和翅片质量最小化为目标的约束多目标问题。结果表明,所提出的 MFMDO 策略能产生与 HFMDO 相同的最优解,而成本却降低了 52%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
16.70%
发文量
370
审稿时长
6 months
期刊介绍: The Journal of Process Mechanical Engineering publishes high-quality, peer-reviewed papers covering a broad area of mechanical engineering activities associated with the design and operation of process equipment.
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