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Non-contact point excitation of ultra lightweight structures: membranes

机译:超轻型结构的非接触点激励:膜

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Given the lightweight and sensitive nature of gossamer structures, applying non-intrusive excitation and measurement techniques is beneficial during either the design stage or in operational conditions. The use of non-contact measurement techniques, such as laser vibrometry, has been extensively used in testing of lightweight structures and proven beneficial. The successful implementation of non-contact excitation techniques, however, is more difficult. Commonly used and seen in past literature, has been the implementation of boundary excitation and acoustics in order to generate a non-contact type of excitation source. Both these techniques distribute the excitation generated on the surface of the specimen as opposed to a point source. A SISO or SIMO type of approach cannot be used for system identification as the nature of these excitations are not single input. The implementation of a MIMO approach should not be used either, as the excitation cannot be measured directly nor are the inputs uncorrelated. The work here investigates the use of a pressurized solenoid valve with compressed air to generate a point excitation on an ultra-lightweight circular membrane. The experimental results are compared with a previously validated theoretical model of a membrane in air. An impedance-based model of a circular membrane is used which takes into account the energy loss due to radiation to the far field. This work also attempts to quantify in a general sense the errors induced when neglecting these differences using distributed type excitations versus single point.
机译:考虑到游丝结构的轻质和灵敏特性,在设计阶段或在运行条件下应用非侵入式激励和测量技术是有益的。非接触式测量技术(例如激光振动法)的使用已广泛用于测试轻质结构,并被证明是有益的。然而,非接触激励技术的成功实施更加困难。在过去的文献中通常使用和看到的是边界激励和声学的实现,以产生非接触类型的激励源。这两种技术均将与点源相反的激发光分布在样品表面上。 SISO或SIMO类型的方法不能用于系统识别,因为这些激励的性质不是单一输入。也不应该使用MIMO方法,因为不能直接测量激励,输入也不相关。此处的工作研究了使用带压缩空气的加压电磁阀在超轻型圆形膜上产生点激励的情况。将实验结果与先前验证的空气中膜的理论模型进行比较。使用圆形膜的基于阻抗的模型,该模型考虑了由于辐射到远场而导致的能量损失。这项工作还试图从广义上量化使用分布式激励与单点激励忽略这些差异时引起的误差。

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