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A non-intrusive model-order reduction of geometrically nonlinear structural dynamics using modal derivatives

机译:使用模态衍生物的几何非线性结构动态的非侵入式模型降低

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摘要

Non-intrusive model-order reduction methods are beneficial for reducing the computational costs of dynamic analysis of nonlinear finite element models, developed in programs that do not release nonlinear element forces and Jacobians (e.g., commercial software). One of the key aspects for developing a displacement-based non-intrusive reduced order model is a proper construction of the reduction basis, which has to be small in size, easy to compute, and must span the subspace in which the full solution lives. In this paper, we propose a non-intrusive model order reduction method based on modal derivatives stemming from a selected set of vibration modes of the linearized system. By definition, modal derivatives do not require the knowledge of the applied load. We name this load-independent basis. The method we propose is also simulation-free, meaning that no nonlinear dynamic simulations of the full model are required to construct the reduction basis. The method is tested with three examples of increasing complexity.
机译:非侵入式模型顺序减少方法有利于降低非线性有限元模型的动态分析的计算成本,这些模型不释放非线性元件力量和雅各比人(例如,商业软件)。用于开发基于位移的非侵入性减少订单模型的一个关键方面是还原基础的适当构造,这必须较小,易于计算,并且必须跨越整个解决方案的子空间。在本文中,我们提出了一种基于模态衍生物的非侵入式模型顺序减少方法,其线性化系统的选定振动模式串行。根据定义,模态衍生物不需要所应用的负载的知识。我们命名为独立的基础。我们提出的方法也是无仿真的,这意味着不需要完整模型的非线性动态模拟来构建减少。用三个增加复杂性的示例测试该方法。

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