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Deformation Decomposition Based on the Elemental Eigen-deformation Shapes

机译:基于元素特征变形形状的变形分解

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摘要

The eigenvalues and eigenvectors decomposed from elemental stiffness matrix are related to the elemental characteristic parameters. By associating the eigenvectors with node-displacement vector, the elemental eigen-deformation shapes are defined. Each eigen-deformation shape is characterized by the cross-sectional characteristic parameters of EA, EI and GA etc. The first order Timoshenko beam element is used for illustration in this paper. The elemental stiffness matrix is decomposed to define the eigen-deformation shapes, including the axial, bending and the shear. The total deformation of each element is formulated as the weighted summation of the elemental eigen-deformation shapes together with given rigid body modes. The weights corresponding to the eigen-deformation shapes indicate the elemental deformation characteristic. The sensors to monitor the bending and shear strain are sorted and located based on the weights distribution in structure. Numerical examples are presented to illustrate the proposed method and its application.
机译:从元素刚度矩阵分解的特征值和特征向量与元素特征参数有关。通过将特征向量与节点位移载体相关联,定义了元素特征形状。每个特征变形形状的特征在于EA,EI和GA等的横截面特征参数。第一阶TIMOSHENKO梁元件用于本文的说明。元素刚度基质被分解以限定特征变形形状,包括轴向,弯曲和剪切。将每个元素的总变形配制成元素特征变形形状的加权求和以及给定的刚体模式。对应于特征变形形状的重量表示元素变形特性。根据结构中的重量分布,对监视弯曲和剪切应变的传感器进行分类和定位。提出了数值例子以说明所提出的方法及其应用。

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