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A Fourier-series-based Virtual Fields Method for the Identification of 2-D Stiffness and Traction Distributions

机译:基于傅立叶级数的虚拟场方法用于识别二维刚度和牵引力分布

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The virtual fields method (VFM) allows spatial distributions of material properties to be calculated from experimentally determined strain fields. A numerically efficient Fourier-series-based extension to the VFM (the F-VFM) has recently been developed, in which the unknown stiffness distribution is parameterised in the spatial frequency domain rather than in the spatial domain as used in the classical VFM. However, the boundary conditions for the F-VFM are assumed to be well-defined, whereas in practice, the traction distributions on the perimeter of the region of interest are rarely known to any degree of accuracy. In the current paper, we therefore consider how the F-VFM theory can be extended to deal with the case of unknown boundary conditions. Three different approaches are proposed; their ability to reconstruct normalised stiffness distributions and traction distributions around the perimeter from noisy input strain fields is assessed through simulations based on a forward finite element analysis. Finally, a practical example is given involving experimental strain fields from a diametral compression test on an aluminium disc.
机译:虚拟场法(VFM)允许根据实验确定的应变场来计算材料特性的空间分布。最近已经开发了一种基于数值有效傅立叶级数的VFM扩展(F-VFM),其中,未知刚度分布是在空间频域而不是在传统VFM中所使用的空间域中参数化的。但是,假定F-VFM的边界条件是定义明确的,而在实践中,很少以任何精确度知道关注区域周围的牵引力分布。因此,在本文中,我们考虑如何扩展F-VFM理论以处理未知边界条件的情况。提出了三种不同的方法;通过基于正向有限元分析的模拟,评估了它们从嘈杂的输入应变场重建周向标准化刚度分布和牵引力分布的能力。最后,给出了一个实际的例子,该例子涉及在铝盘上进行直径压缩试验的实验应变场。

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