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Multi-Fidelity Surrogate Models for Flutter Database Generation
Computers & Fluids ( IF 2.5 ) Pub Date : 2020-01-01 , DOI: 10.1016/j.compfluid.2019.104372
Markus P. Rumpfkeil , Philip Beran

Abstract In this article, multi-fidelity surrogate (MFS) models of critical flutter dynamic pressures as a function of Mach number, angle of attack and thickness to chord ratio are constructed in lieu of solely using computationally expensive high-fidelity engineering analyses. Once an accurate MFS is constructed, it can be used for evaluating a large number of designs for design space exploration as well as of Monte-Carlo samples for uncertainty quantification. To demonstrate that accurate MFS models can be obtained at lower computational cost than high-fidelity ones the well known AGARD 445.6 dynamic aeroelastic test case model is employed. The highest and lowest fidelity levels considered are Euler and panel solutions, respectively, all combined with a modal structural solver.

中文翻译:

Flutter 数据库生成的多保真代理模型

摘要 在本文中,作为马赫数、攻角和厚度弦比的函数的临界颤振动态压力的多保真代理 (MFS) 模型被构建,以代替仅使用计算成本高的高保真工程分析。一旦构建了准确的 MFS,它就可以用于评估大量设计空间探索的设计以及用于不确定性量化的 Monte-Carlo 样本。为了证明可以以比高保真模型更低的计算成本获得准确的 MFS 模型,我们采用了众所周知的 AGARD 445.6 动态气动弹性测试案例模型。考虑的最高和最低保真度级别分别是 Euler 和面板解决方案,它们都与模态结构求解器相结合。
更新日期:2020-01-01
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