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Small and large deformation analysis with the p- and B-spline versions of the Finite Cell Method

机译:使用有限单元法的p样条和B样条进行大小形变分析

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摘要

The Finite Cell Method (FCM) is an embedded domain method, which combines the fictitious domain approach with high-order finite elements, adaptive integration, and weak imposition of unfitted Dirichlet boundary conditions. For smooth problems, FCM has been shown to achieve exponential rates of convergence in energy norm, while its structured cell grid guarantees simple mesh generation irrespective of the geometric complexity involved. The present contribution first unhinges the FCM concept from a special high-order basis. Several benchmarks of linear elasticity and a complex proximal femur bone with inhomogeneous material demonstrate that for small deformation analysis, FCM works equally well with basis functions of the p-version of the finite element method or high-order B-splines. Turning to large deformation analysis, it is then illustrated that a straightforward geometrically nonlinear FCM formulation leads to the loss of uniqueness of the deformation map in the fictitious domain. Therefore, a modified FCM formulation is introduced, based on repeated deformation resetting, which assumes for the fictitious domain the deformation-free reference configuration after each Newton iteration. Numerical experiments show that this intervention allows for stable nonlinear FCM analysis, preserving the full range of advantages of linear elastic FCM, in particular exponential rates of convergence. Finally, the weak imposition of unfitted Dirichlet boundary conditions via the penalty method, the robustness of FCM under severe mesh distortion, and the large deformation analysis of a complex voxel-based metal foam are addressed.
机译:有限元方法(FCM)是一种嵌入式域方法,该方法将虚拟域方法与高阶有限元,自适应积分和不适合Dirichlet边界条件的弱势相结合。对于平滑问题,已证明FCM可实现能量范数的指数收敛,而其结构化的单元格网格可确保简单的网格生成,而无需考虑所涉及的几何复杂性。本文稿首先从特殊的高阶基础上消除了FCM概念。若干线性弹性基准和复杂的股骨近端材料不均一表明,对于小变形分析,FCM在有限元方法的p版本或高阶B样条曲线的基本功能上均能很好地发挥作用。转向大变形分析,然后说明了一个简单的几何非线性FCM公式会导致在虚拟域中变形图的唯一性丧失。因此,基于重复的变形重置,引入了一种改进的FCM公式,该假设针对虚拟域在每次Newton迭代后假设无变形参考配置。数值实验表明,这种干预可以进行稳定的非线性FCM分析,从而保留了线性弹性FCM的全部优点,尤其是指数收敛速度。最后,通过惩罚方法对不适合的Dirichlet边界条件施加了弱势,严重网格变形下FCM的鲁棒性以及复杂体素基金属泡沫的大变形分析。

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