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Uncertainties Quantification in Flutter Prediction of a Wind Tunnel Model Exhibiting Large Displacements

机译:展示大型位移的风洞模型的颤振预测的不确定性定量

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This study aims at characterising the role played by uncertainties in the very particular aeroelastic problem which is being investigated within the special session "Progress of the 3rd Aeroelastic Prediction Workshop Large Deflection Group". The subject of the analysis is a Wind Tunnel model, the "Pazy wing", developed by Prof Raveh of Technion characterised by "large displacements". In this study, the aeroelastic analysis is carried out on the basis of an analytical model - with CFD-tuned aerodynamics and a structural model fine-tuned to match experimental stiffness and eigenfrequencies. Uncertainties are propagated to the quantities of interest (e.g. flutter speed) via Non-Intrusive Polynomial Chaos Expansion. The motivation for this study is to provide some guidance to other potential participants, who are currently approaching the problem with higher fidelity methods / tools, mostly based on a coupled FEM / CFD time - accurate calculations. The analytical model is for the time being used in its linear implementation and only with a zero angle-of-attack. However, its results in terms of complex eigenvalues and flutter speed are consistent with those obtained by Prof Raveh with more conventional tools. According to the preliminary findings, the flutter speed 95% confidence interval is several m/s broad, a surprisingly high value, in the same order of magnitude of the differences expected between lower and higher fidelity modelling approaches.
机译:本研究旨在表征在特定的空气弹性问题中的不确定性在特殊的空气弹性问题中所发挥的作用,这些问题正在在特别会议“第三次空气弹性预测研讨会大偏转组的进展”中正在调查。分析的主题是一种风洞模型,由Techion的Raveh教授开发的“七角翼”,其特征是“大型位移”。在这项研究中,气动弹性分析是在分析模型的基础上进行的 - 具有CFD调整空气动力学和结构模型,可以进行微调,以匹配实验僵硬和特征频率。通过非侵入式多项式混沌扩展,不确定因素被传播到利息数(例如颤动速度)。本研究的动机是向其他潜在参与者提供一些指导,目前正在接近具有更高保真方法/工具的问题,主要基于耦合的UP / CFD时间准确计算。分析模型是在其线性实现中使用的时间,并且仅具有零攻角。然而,其在复杂的特征值和颤振速度方面的结果与RaveH的具有更多常规工具获得的结果一致。根据初步发现,颤动速度95%置信区间是几M / s的宽,令人惊讶的高值,其差异的差异相同,较高的保险费建模方法之间的差异。

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