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Correction Of Stiffness And Mass Matrices Utilizing Simulated Measured Modal Data

机译:利用模拟测得的模态数据校正刚度和质量矩阵

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Measured and analytical data are unlikely to be equal due to measured noise, model inadequacies and structural damage, etc. It is necessary to update the physical parameters of analytical models for proper simulation and design studies. Starting from simulated measured modal data such as natural frequencies and their corresponding mode shapes, this study presents the equations to update the physical parameters of stiffness and mass matrices simultaneously for analytical modelling by minimizing a cost function in the satisfaction of the dynamic constraints of orthogonality requirement and eigenvalue function. The proposed equations are straightforwardly derived by Moore-Penrose inverse matrix without using any multipliers. The cost function is expressed by the sum of the quadratic forms of both the difference between analytical and updated mass, and stiffness matrices. The results are compared with the updated mass matrix to consider the orthogonality requirement only and the updated stiffness matrix to consider the eigenvalue function only, respectively. Also, they are compared with Wei's method which updates the mass and stiffness matrices simultaneously. The validity of the proposed method is illustrated in an application to correct the mass and stiffness matrices due to section loss of some members in a simple truss structure.
机译:由于测得的噪声,模型不足和结构损坏等原因,测得的数据和分析数据不太可能相等。必须更新分析模型的物理参数以进行正确的仿真和设计研究。从模拟的测量模态数据(例如固有频率及其对应的模态形状)开始,本研究提出了方程式,以通过最小化满足正交性要求的动态约束的成本函数,同时更新刚度和质量矩阵的物理参数以进行分析建模和特征值函数。拟议的方程式是直接由Moore-Penrose逆矩阵导出的,无需使用任何乘数。成本函数由分析质量和更新质量之间的差以及刚度矩阵的二次形式之和表示。将结果与更新的质量矩阵进行比较,以仅考虑正交性要求,而将更新的刚度矩阵与仅考虑特征值函数进行比较。此外,将它们与同时更新质量和刚度矩阵的Wei方法进行比较。在一个应用程序中说明了该方法的有效性,该应用程序用于校正由于简单桁架结构中某些构件的截面损失引起的质量和刚度矩阵。

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