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Investigating the Influence of Fluid-Structure Interactions on Nonlinear System Identification

机译:调查流体结构相互作用对非线性系统识别的影响

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A complex fluid-structure interaction can often create nonlinear dynamic behaviour in the structure. This can be better estimated using nonlinear modal analysis, capable of identifying and quantifying the nonlinearity in the structure. In this study, the case of a vibrating beam submerged in liquid using a nonlinear parameter identification method is presented. This system is considered as an alternative propulsion mechanism, hence understanding the interaction between the fluid and the structure is necessary for its control. Here, impulse signals are used to characterise the numerical and experimental dynamics response of the system. Since the transient responses contain of a multi-component vibratory signals, a vibration decomposition method is used to separate the time response signals based on the dominant amplitude in the frequency response function. The separated time-series signals are then fitted to the nonlinear identification method to construct the backbone and damping curves. The modal parameters obtained from experimental data are then used as a base for the development of the analytical models. The analytical approaches are based on the Euler-Bernoulli beam theory with additional mass and quadratic damping functions to account for the presence of the fluid. Validations are carried out by comparing the dynamic responses of the analytical and experimental measurements demonstrating the accuracy of the model and hence, its suitability for control purposes.
机译:复杂的流体结构相互作用通常可以在结构中产生非线性动态行为。可以使用非线性模态分析更好地估计这一点,能够识别和量化结构中的非线性。在该研究中,提出了使用非线性参数识别方法浸没在液体中的振动束的情况。该系统被认为是一种替代推进机制,因此了解流体与结构之间的相互作用是对照的。这里,脉冲信号用于表征系统的数值和实验动力学响应。由于瞬态响应包含多分量振动信号,因此使用振动分解方法基于频率响应函数中的主要幅度来分离时间响应信号。然后将分离的时间序列信号装配到非线性识别方法以构建骨干和阻尼曲线。然后将从实验数据获得的模态参数用作用于开发分析模型的基础。分析方法基于Euler-Bernoulli光束理论,具有额外的质量和二次阻尼功能,以解释流体的存在。通过比较分析和实验测量的动态响应来进行验证,并因此对模型的准确性进行了比较,并因此进行控制目的的适用性。

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