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首页> 外文期刊>Computational Mechanics: Solids, Fluids, Fracture Transport Phenomena and Variational Methods >Model reduction in elastoplasticity: proper orthogonal decomposition combined with adaptive sub-structuring
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Model reduction in elastoplasticity: proper orthogonal decomposition combined with adaptive sub-structuring

机译:弹性塑性降低模型:适当的正交分解与自适应子结构相结合

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Model reduction techniques such as the proper orthogonal decomposition (POD) method can be used to reduce the computational effort of simulations with a very large number of degrees-of-freedom. The reduction of finite element models including elastoplastic material behavior is still far from being trivial and inevitably leads to problems of efficiency and accuracy. One aim of the present paper is to combine the two methods—sub-structuring and POD-based model reduction—to overcome these difficulties. A typical field of application where plasticity dominates the material behavior are forming processes. The second aim of the paper is to investigate the applicability of the new approach in this context. The presented combined approach selective POD (SPOD) where the reduction is only applied in sub-domains with approximately elastic behavior shows higher accuracy than the general POD method. In this paper, the SPOD method is extended by an adaptivemethod of sub-structuring (A-SPOD) in which the sub-domain where model reduction is applied is determined automatically. While achieving errors of the same magnitude as by means of SPOD, the computational effort can be reduced significantly by using the A-SPOD approach.
机译:模型约简技术(如适当的正交分解 (POD) 方法)可用于减少具有大量自由度的仿真的计算工作量。包括弹塑性材料行为在内的有限元模型的简化还远非易事,不可避免地会导致效率和精度问题。本文的一个目的是将子结构化和基于POD的模型约简这两种方法结合起来,以克服这些困难。塑性在材料行为中占主导地位的典型应用领域是成型工艺。本文的第二个目的是研究新方法在这方面的适用性。所提出的组合方法选择性 POD (SPOD) 仅将约简应用于具有近似弹性行为的子域,显示出比一般 POD 方法更高的准确性。在本文中,SPOD方法通过自适应子结构法(A-SPOD)进行了扩展,其中应用模型约简的子域是自动确定的。在实现与SPOD相同大小的误差的同时,使用A-SPOD方法可以大大减少计算工作量。

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