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Evaluating the Stiffness of Conic Interfacing Parts : a Practical Method for Finite Element Model Updating Based on Experimental Modal Testing

机译:评估圆锥形接口零件的刚度:一种基于实验模态测试的实用有限元模型更新方法

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The current work describes an iterative process to optimize the stiffness properties in a finite element model with respect to the actual stiffness of a complex joint. When solving a finite element model in structural dynamics, simplifications come from defining certain boundary conditions, material properties or model geometry as known parameters. These parameters must be properly evaluated in order to obtain a realistic representation of the structure's reaction to dynamic loading. Vibro-acoustic analysis of a solar panel substrate contains frontiers which need to be described in finite element modelling, to make sure that the experimental responses of the panel can be properly correlated with its theoretical representation. An iterative procedure is performed to reduce stiffness errors based on the orthogonality of the finite element modes with the actual physical modes. Using Siemens NX model updating module, a genetic algorithm is used to optimize the correlation. The practical method described here was found to be effective to reduce stiffness based correlation errors. The presented practice made possible to increase mode shape correlation by 11% of the modal assurance criterion (MAC) and decrease the average frequency error by 43%.
机译:当前的工作描述了一个迭代过程,以相对于复杂接头的实际刚度优化有限元模型中的刚度属性。在求解结构动力学中的有限元模型时,简化过程是通过将某些边界条件,材料属性或模型几何形状定义为已知参数来实现的。必须正确评估这些参数,以便获得结构对动态载荷反应的真实表示。太阳能电池板基板的振动声学分析包含前沿领域,需要在有限元建模中进行描述,以确保太阳能电池板的实验响应可以与其理论表示正确相关。基于有限元模态与实际物理模态的正交性,执行迭代过程以减少刚度误差。使用西门子NX模型更新模块,使用遗传算法来优化相关性。发现这里描述的实用方法对于减少基于刚度的相关误差是有效的。所提出的实践使得将模态形状相关性提高了模态保证标准(MAC)的11%,并将平均频率误差降低了43%。

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