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System identification of distributed-parameter marine riser models

机译：分布式参数船用立管模型的系统辨识

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Modeling engineering problems of interest often requires some type of discretization model of the physical system and quite naturally leads to a mathematical description involving partial differential equations whose coefficients are dependent on both time and spatial location. In this study a reverse system identification approach is presented that utilizes generalized coordinate and force functions to recover the value of the key system parameters for each mode of vibration. To illustrate the analysis procedures, a single marine riser with general damping-restoring types of non-linearities subject to random wave excitation is considered. Analytical expressions as functions of the modes for bending stiffness and tension are derived and used for comparison with the results obtained using system identification. Numerical simulations including band-limited white noise and random wave excitation are used to explore the adequacy of the methodology and the benefits of using modal analysis in the system identification procedure. Finally, the use of and comparison with experimental data is presented and the frequency variation of parameters obtained resulting from system identification procedures discussed. Collectively, the examples demonstrate that this system identification methodology accurately identifies system parameters over portions of the frequency range of interest.
机译：对感兴趣的工程问题进行建模通常需要物理系统的某种离散模型，并且很自然地会导致涉及偏微分方程的数学描述，其系数取决于时间和空间位置。在这项研究中，提出了一种反向系统识别方法，该方法利用广义坐标和力函数来为每种振动模式恢复关键系统参数的值。为了说明分析程序，考虑了具有随机衰减激励的一般非线性阻尼恢复类型的单个船用立管。推导了作为弯曲刚度和张力模式的函数的解析表达式，并将其用于与使用系统识别获得的结果进行比较。数值模拟包括带限白噪声和随机波激励，以探讨该方法的适当性以及在系统识别过程中使用模态分析的好处。最后，介绍了实验数据的使用并与之进行了比较，并讨论了由系统识别程序得到的参数的频率变化。总体而言，这些示例表明，该系统识别方法可在目标频率范围的一部分上准确识别系统参数。

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