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Isogeometric size optimization of bi-directional functionally graded beams under static loads

机译:静态载荷下双向功能梯度梁的等几何尺寸优化

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摘要

This paper is firstly presented to deal with the material optimization for the compliance minimization of bidirectional functionally graded (BFG) structures under a static load. In this approach, the distribution of the BFG material properties is described by two-dimensional Non-Uniform Rational B-spline (NURBS) functions. Meanwhile, one dimensional NURBS basis functions are used to represent the exact structural geometry and approximate the unknown solution in finite element analysis (FEA). In which, design variables are the ceramic volume fraction values at control points through the x and z directions constructed by isogeometric analysis (IGA) method. Differential evolution (DE) algorithm is chosen as a tool for solving the optimization problem. By using two-dimensional NURBS functions, the obtained optimum material distributions are illustrated. In order to investigate the effectiveness and reliability of the proposed approach, the BFG Timoshenko beam is considered. The numerical solutions gained by the proposed method are verified by comparing with those of published ones. Several numerical examples are performed to search the optimal material distribution of the BFG beam with different parameters consisting of ceramic volume fraction constraint, boundary condition and the length-to-thickness ratio (L/H). Additionally, optimum results are achieved to be beneficial for the fabrication of BFG beams.
机译:本文首先介绍了在静态载荷下双向功能梯度(BFG)结构的柔度最小化的材料优化。在这种方法中,BFG材料属性的分布由二维非均匀有理B样条(NURBS)函数描述。同时,一维NURBS基函数用于表示精确的结构几何形状,并在有限元分析(FEA)中近似未知解。其中,设计变量是通过等几何分析(IGA)方法构造的x和z方向上控制点处的陶瓷体积分数值。选择差分进化(DE)算法作为解决优化问题的工具。通过使用二维NURBS函数,说明了获得的最佳材料分布。为了研究该方法的有效性和可靠性,考虑了BFG Timoshenko梁。通过与已发表的方法进行比较,验证了该方法获得的数值解。进行了几个数值示例,以求出具有不同参数的BFG梁的最佳材料分布,这些参数包括陶瓷体积分数约束,边界条件和长厚比(L / H)。另外,获得了最佳结果,对于制造BFG梁是有益的。

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