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Large Deformation Applications with the Radial Natural Neighbours Interpolators

机译:径向自然邻域内插器的大变形应用

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The Natural Neighbour Radial Point Interpolation Method (NNRPIM) is extended to the large deformation analysis of non-linear elastic structures. The nodal connectivity in the NNRPIM is enforced using the Natural Neighbour concept. After the Voronoi diagram construction of the unstructured nodal mesh, which discretize the problem domain, small cells are created, the "influence-cells". These cells are in fact influence-domains entirely nodal dependent. The Delaunay triangles are used to create a node-depending background mesh used in the numerical integration of the NNRPIM interpolation functions. The NNRPIM interpolation functions, used in the Galerkin weak form, are constructed with the Radial Point Interpolators. In the construction of the NNRPIM interpolation functions no polynomial base is required, which is an innovation and the used Radial Basis Function (RBF) is the Multiquadric RBF. The NNRPIM interpolation functions posses the delta Kronecker property, which simplify the imposition of the natural and essential boundary conditions. Once the scope of this work is to extend and validate the NNRPIM in the large-deformation analysis, the used non-linear solution algorithm is the Orthogonal Actualized Ramm's method, which permits the analysis of structures that in some point evidence instability phenomenons such as the "snap-through" and the "snap-back". Several non-linear benchmark examples are studied to demonstrate the effectiveness of the method. The numerical results indicated that NNRPIM handles large material distortion effectively and provides an accurate solution under large deformation.
机译:自然邻居径向点插值方法(NNRPIM)扩展到非线性弹性结构的大变形分析。 NNRPIM中的节点连接是使用自然邻居概念来强制执行的。在将问题域离散化的非结构化节点网格的Voronoi图构造之后,将创建小单元,即“影响单元”。这些细胞实际上是完全依赖于节点的影响域。 Delaunay三角形用于创建依赖节点的背景网格,用于NNRPIM插值函数的数值积分。用径向点插值器构造以Galerkin弱形式使用的NNRPIM插值函数。在构造NNRPIM插值函数时,不需要多项式基,这是一项创新,使用的径向基函数(RBF)是多二次RBF。 NNRPIM插值函数具有增量Kronecker属性,从而简化了自然边界条件和基本边界条件的施加。一旦这项工作的范围是扩展和验证大变形分析中的NNRPIM,则使用的非线性求解算法就是正交实现的Ramm方法,该方法可以对结构进行分析,这些结构在某些方面可以证明存在不稳定性现象,例如“快速通过”和“快速返回”。研究了几个非线性基准实例,以证明该方法的有效性。数值结果表明,NNRPIM有效地处理了大的材料变形,并在大变形下提供了精确的解决方案。

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