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Multi-scale computational homogenisation to predict the long-term durability of composite structures

机译:多尺度计算均质化可预测复合结构的长期耐久性

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A coupled hygro-thermo-mechanical computational model is proposed for fibre reinforced polymers, formulated within the framework of Computational Homogenisation (CH). At each macrostructure Gauss point, constitutive matrices for thermal, moisture transport and mechanical responses are calculated from CH of the underlying representative volume element (RVE). A degradation model, developed from experimental data relating evolution of mechanical properties over time for a given exposure temperature and moisture concentration is also developed and incorporated in the proposed computational model. A unified approach is used to impose the RVE boundary conditions, which allows convenient switching between linear Dirichlet, uniform Neumann and periodic boundary conditions. A plain weave textile composite RVE consisting of yarns embedded in a matrix is considered in this case. Matrix and yarns are considered as isotropic and transversely isotropic materials respectively. Furthermore, the computational framework utilises hierarchic basis functions and designed to take advantage of distributed memory high performance computing. (C) 2016 The Authors. Published by Elsevier Ltd.
机译:提出了在计算均质化(CH)框架内制定的纤维增强聚合物的湿热力学耦合计算模型。在每个宏观结构高斯点,从基础代表体积元素(RVE)的CH计算出热,水分传输和机械响应的本构矩阵。从给定暴露温度和水分浓度下机械性能随时间演变的实验数据开发的降解模型也已开发,并纳入了建议的计算模型。使用统一的方法来施加RVE边界条件,从而可以在线性Dirichlet,均匀Neumann和周期边界条件之间方便地进行切换。在这种情况下,考虑了一种平纹织物复合材料RVE,它由嵌入基体中的纱线组成。基体和纱线分别被视为各向同性和横向各向同性的材料。此外,该计算框架利用了分层基础功能,并被设计为利用分布式内存高性能计算的优势。 (C)2016作者。由Elsevier Ltd.发布

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