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Optimal fiber content and distribution in fiber-reinforced solids using a reliability and NURBS based sequential optimization approach

机译:使用可靠性和基于NURBS的顺序优化方法在纤维增强固体中获得最佳纤维含量和分布

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摘要

A double stage sequential optimization algorithm for finding the optimal fiber content and its distribution in solid composites, considering uncertain design parameters, is presented. In the first stage, the optimal amount of fiber in a Fiber Reinforced Composite (FRC) structure with uniformly distributed fibers is conducted in the framework of a Reliability Based Design Optimization (RBDO) problem. In the second stage, the fiber distribution optimization having the aim to more increase in structural reliability is performed by defining a fiber distribution function through a Non-Uniform Rational B-Spline (NURBS) surface. The output of stage 1(optimal fiber content for homogeneously distributed fibers) is considered as the input of stage 2. The output of stage 2 is Reliability Index (RI) of the structure with optimal fiber content and optimal fiber distribution. First order reliability method in order to approximate the limit state function and a homogenization approach, based on the assumption of random orientation of fibers in the matrix, are implemented. The proposed combined model is able to capture the role of available uncertainties in FRC structures through a computationally efficient algorithm using all sequential, NURBS and sensitivity based techniques. Performed case studies show as an increase in model uncertainties yields to structural unreliability. Moreover, when system unreliability increases fiber distribution optimization becomes more influential.
机译:提出了一种在不确定的设计参数的情况下寻找最佳纤维含量及其在固体复合材料中分布的二级顺序优化算法。在第一阶段,在基于可靠性的设计优化(RBDO)问题的框架内,对纤维均匀分布的纤维增强复合材料(FRC)结构中的最佳纤维量进行了研究。在第二阶段中,通过通过非均匀有理B样条(NURBS)表面定义纤维分布函数来执行旨在进一步提高结构可靠性的纤维分布优化。阶段1的输出(均匀分布纤维的最佳纤维含量)被视为阶段2的输入。阶段2的输出是具有最佳纤维含量和最佳纤维分布的结构的可靠性指数(RI)。为了近似极限状态函数,采用一阶可靠性方法,并基于纤维在矩阵中的随机取向的假设,实现了均质化方法。所提出的组合模型能够通过使用所有顺序,基于NURBS和基于灵敏度的技术的高效计算算法,来捕获FRC结构中可用不确定性的作用。进行的案例研究表明,由于模型不确定性增加,导致结构不可靠。此外,当系统的不可靠性增加时,光纤分布的优化就变得更有影响力。

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