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Updating the Finite Element Model of the Aerostructures Test Wing Using Ground Vibration Test Data

机译:使用地面振动测试数据更新飞机结构测试机翼的有限元模型

摘要

Improved and/or accelerated decision making is a crucial step during flutter certification processes. Unfortunately, most finite element structural dynamics models have uncertainties associated with model validity. Tuning the finite element model using measured data to minimize the model uncertainties is a challenging task in the area of structural dynamics. The model tuning process requires not only satisfactory correlations between analytical and experimental results, but also the retention of the mass and stiffness properties of the structures. Minimizing the difference between analytical and experimental results is a type of optimization problem. By utilizing the multidisciplinary design, analysis, and optimization (MDAO) tool in order to optimize the objective function and constraints; the mass properties, the natural frequencies, and the mode shapes can be matched to the target data to retain the mass matrix orthogonality. This approach has been applied to minimize the model uncertainties for the structural dynamics model of the aerostructures test wing (ATW), which was designed and tested at the National Aeronautics and Space Administration Dryden Flight Research Center (Edwards, California). This study has shown that natural frequencies and corresponding mode shapes from the updated finite element model have excellent agreement with corresponding measured data.
机译:改进和/或加速决策是颤振认证过程中的关键步骤。不幸的是,大多数有限元结构动力学模型具有与模型有效性相关的不确定性。使用测量数据调整有限元模型以最大程度地减少模型不确定性是结构动力学领域中的一项艰巨任务。模型调整过程不仅需要分析和实验结果之间令人满意的相关性,还需要保留结构的质量和刚度特性。最小化分析结果与实验结果之间的差异是一种优化问题。通过利用多学科设计,分析和优化(MDAO)工具来优化目标功能和约束;质量特性,固有频率和众数形状可以与目标数据匹配,以保持质量矩阵正交性。该方法已被应用,以最小化航空结构试验机翼(ATW)的结构动力学模型的模型不确定性,该模型是在美国国家航空航天局Dryden飞行研究中心(加利福尼亚爱德华兹)设计和测试的。这项研究表明,更新后的有限元模型的固有频率和相应的模态形状与相应的测量数据具有极好的一致性。

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    Pak Chan-Gi; Lung Shun-Fat;

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  • 年度 2009
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