Rapid Prediction of Worst Case Gust Loads
Rapid Prediction of Worst Case Gust Loads
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DOI：
10.2514/6.2011-2040
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发表时间：
2011-04
期刊：
影响因子：
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通讯作者：
H. H. Khodaparast-H.;G. Georgiou;J. Cooper;Luigi Riccobenne;S. Ricci;G. Vio;Peter Denner
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文献类型：
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作者：
H. H. Khodaparast-H.;G. Georgiou;J. Cooper;Luigi Riccobenne;S. Ricci;G. Vio;Peter Denner
本文讨论了FFAST（未来快速气动弹性模拟技术）项目的最新进展，该项目旨在显著减少确定飞机最坏情况阵风载荷所需的时间。为了在相对较少的测试点的基础上确定整个飞行包线和燃料情况的元模型，应用了许多实验设计、代理建模和优化技术。所有的方法都与一个简单的、假设的模式、具有5个“有趣量”的自由-自由飞机模型的数据进行了比较，结果表明，与蒙特卡罗方法相比，用更少的阵风响应计算来确定最坏阵风情况的准确预测。
This paper discusses current progress in the FFAST (Future Fast Aeroelastic Simulation Technologies) project aiming to significantly reduce the amount of time required to determine the worst case gust loads for aircraft. A number of Design of Experiments, surrogate modeling and optimization techniques are applied in order to determine metamodels across the entire flight envelope and fuel cases based upon relatively few test points. All of the methodologies are compared on data from a simple, assumed modes, free-free aircraft model with 5 “interesting quantities”, and are shown to determine accurate predictions of the worst gust case with fewer gust response calculations than a Monte- Carlo approach.