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Dynamics of Geometrically-Nonlinear Beam Structures, Part 2: Experimental Analysis

机译:几何非线性梁结构的动态,第2部分:实验分析

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System identification is a key tool to gather information about dynamical structures. In the last decades, important steps have been made to perform this task in the presence of localized nonlinearities. However, the continual interest in improving structural performance has created the need of designing light and flexible elements in several engineering fields. These elements are usually characterized by moderate and large deformations, exhibiting distributed nonlinearities. System identification of structures with distributed nonlinear features remains particularly challenging, especially when dealing with experimental data. This work proposes a method to perform such a task, relying on a convenient basis reduction of the measured signals. The identification is then performed using the nonlinear subspace identification method (NSI) in the reduced domain together with a closed-form nonlinear description. This methodology is validated on an experimental structure, consisting of a very thin steel beam that is clamped at both ends. Excited with a multisine, the beam undergoes large amplitude oscillations. A final objective of the identification is to exploit its response through the correct identification of the parameters that define the nonlinearity. Results show a high level of accuracy, which validates the effectiveness of the methodology and paves the way toward the identification of more complex real-life structures exhibiting large deformations.
机译:系统识别是收集有关动态结构信息的关键工具。在过去的几十年中,已经在存在本地化非线性的情况下进行重要步骤。然而,改善结构性能的持续兴趣已经创造了在若干工程领域中设计光和柔性元素的需要。这些元素通常以中等和大的变形为特征,表现出分布式非线性。具有分布式非线性特征的结构的系统识别仍然特别具有挑战性,特别是在处理实验数据时。这项工作提出了一种执行这种任务的方法,依赖于方便的测量信号的基础降低。然后使用缩减域中的非线性子空间识别方法(NSI)一起与闭合形式的非线性描述一起执行识别。该方法在实验结构上验证,该实验结构由非常薄的钢梁组成,该钢束在两端夹紧。射击敏感,光束经历大的幅度振荡。识别的最终目标是通过正确识别定义非线性的参数来利用其响应。结果显示出高度的准确性,验证了方法的有效性,并铺平了识别更复杂的现实寿命结构的方式。

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