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首页> 外文期刊>Computational Mechanics: Solids, Fluids, Fracture Transport Phenomena and Variational Methods >Optimization clustering technique for PieceWise Uniform Transformation Field Analysis homogenization of viscoplastic composites
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Optimization clustering technique for PieceWise Uniform Transformation Field Analysis homogenization of viscoplastic composites

机译:PieceWise均匀变换场分析粘塑性复合材料均质化的优化聚类技术

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摘要

Aim of the present study is to propose an enhanced method for the domain decomposition (clustering) of the representative volume element (RVE) of composite materials to be used with homogenization techniques, based on the PieceWise Uniform Transformation Field Analysis (PWUTFA). With PWUTFA, both constitutive and evolutive equations for the constituents of the composite material are written in terms of averages in each cluster; moreover, it is not required to solve via FEM the nonlinear micro-mechanical problem, allowing to drastically reduce the number of internal variables. PWUTFA is founded on the idea that it is possible to divide the RVE into large subdomains (clusters) that should group together finite elements having, under any applied loading condition, the most similar values of strain. Accordingly, in this study a multi-objective optimization-based approach is proposed with the aim to simultaneously reduce both the error in the approximation of the strain fields and the number of clusters in which the domain is decomposed. Different clustering solutions, obtained through the proposed optimization approach are analyzed, and the corresponding mechanical responses are compared with the ones obtained by the finite element analysis and by uniform transformation field analysis.
机译:本研究的目的是提出一种增强的方法,用于复合材料的代表性体积元素 (RVE) 的域分解(聚类),以用于均质化技术,基于 PieceWise 均匀变换场分析 (PWUTFA)。使用 PWUTFA,复合材料成分的本构方程和演化方程都以每个簇的平均值表示;此外,不需要通过有限元法求解非线性微观力学问题,从而大大减少了内部变量的数量。PWUTFA建立在这样一种想法之上,即可以将RVE划分为大的子域(簇),这些子域(簇)应该在任何施加的载荷条件下将具有最相似的应变值的有限元组合在一起。因此,在这项研究中,提出了一种基于多目标优化的方法,旨在同时减少应变场近似的误差和分解域的簇数量。分析了通过所提出的优化方法得到的不同聚类解,并与有限元分析和均匀变换场分析得到的力学响应进行了比较。

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