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Inverse Identification of Composite Material Properties by using a Two-Stage Fourier Method

机译:通过使用双级傅立叶方法反转复合材料特性的识别

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This study presents a feasible identification method for composite materials that adopts the combined use of the Fourier method, a weighted least squares method and the mode shape error function. The deflection shape function of the plate structure is defined in terms of 2D Fourier cosine series which is supplemented with several one-dimensional additional terms to accommodate general boundary conditions. The derivatives of mode shape with respect to the flexural rigidity are derived and computed from the model's displacement function. A difference exists in the means of obtaining the mode shape derivatives between the present approach and the commonly used finite element model updating method. This research proposes a two-stage identification approach, in which the natural frequency error function is utilised in stage 1. In stage 2, the mode shape error function is used, which is proven vital in improving the accuracy of the in-plane shear modulus and Poisson's ratio by at most 13%.
机译:本研究提出了一种可行的复合材料识别方法,其采用傅立叶方法的组合使用,加权最小二乘法和模式形状误差函数。 板结构的偏转形状函数根据2D傅里叶余弦系列定义,其补充有几种一维附加术语以适应一般边界条件。 从模型的位移函数导出和计算模式形状的衍生物,从模型的位移函数中得到。 在当前方法和常用的有限元模型更新方法中获取模式形状导数的方法中存在差异。 该研究提出了一种两级识别方法,其中自然频率误差函数在阶段1中使用。在第2阶段,使用模式形状误差功能,这在提高面内剪切模量的准确性方面被证明是至关重要的 和泊松比赛最多13%。

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