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Multiphase layout optimization for fiber reinforced composites considering a damage model

机译:考虑损伤模型的纤维增强复合材料的多相布局优化

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The present study addresses an optimization strategy for fiber reinforced composites, specifically Fiber Reinforced Concrete (FRC) with a complex failure mechanism resulting from material brittleness of both matrix and fibers and also from the nonlinear interfacial behavior between those constituents. A prominent objective for this kind of composite is the improvement of ductility. The entire structural response of this material strongly depends on three factors, (ⅰ) material layout of fiber on a small scale, (ⅱ) fiber geometry on the macroscopic structural level, and (ⅲ) material parameters of interface between matrix and fiber. The purpose of the present study is to improve the structural ductility of FRC by applying optimization; in the formulation not only the optimal material layout of fibers on the small scale but also the global fiber geometry are determined simultaneously. The proposed method is achieved by combining multiphase material optimization and material shape optimization, separately introduced by Kato et al. [11] and Kato and Ramm [12], respectively. For the optimization problem a gradient-based optimization scheme is assumed. A method of moving asymptotes (MMA) is applied because of its numerically high efficiency and robustness. The performance of the proposed method is demonstrated by a series of numerical examples and compared with pure material shape optimization. It is verified that the proposed method gives more efficient results than the individual material shape optimization and that the structural ductility can be substantially improved.
机译:本研究提出了一种纤维增强复合材料的优化策略,特别是纤维增强混凝土(FRC),其具有复杂的破坏机制,这是由于基体和纤维的材料脆性以及这些成分之间的非线性界面行为导致的。这种复合材料的主要目标是延展性的提高。这种材料的整个结构响应在很大程度上取决于三个因素,(ⅰ)纤维在小规模上的材料布局,(ⅱ)在宏观结构水平上的纤维几何形状,以及(ⅲ)基质与纤维之间界面的材料参数。本研究的目的是通过应用优化来改善FRC的结构延展性。在配方中,不仅可以确定小规模纤维的最佳材料布局,而且可以同时确定纤维的总体几何形状。通过将多相材料优化和材料形状优化相结合(由Kato等人单独介绍)来实现所提出的方法。 [11]和Kato和Ramm [12]。对于优化问题,假定基于梯度的优化方案。由于其数值上的高效率和鲁棒性,因此应用了一种移动渐近线(MMA)的方法。通过一系列数值示例证明了该方法的性能,并与纯材料形状优化进行了比较。证实了所提出的方法比单独的材料形状优化提供了更有效的结果,并且可以显着改善结构的延展性。

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