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An isogeometric multimesh design approach for size and shape optimization of multidirectional functionally graded plates

机译:等几何多网格设计方法,用于多方向功能梯度板的尺寸和形状优化

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This article firstly presents a novel numerical methodology to concurrently optimize material distribution (size) and thickness variation (shape) of multidirectional functionally graded (MFG) plates under free vibration within the isogeometric analysis (IGA) framework. An isogeometric multimesh design (IMD) approach is proposed to generate two distinct non-uniform rational B-spline (NURBS) surfaces via the k-refinement strategy. A finer analysis one relied upon a combination of the IGA and a generalized shear deformation theory (GSDT) is utilized for the unknown solution approximation in finite element analyses (FEAs). Whilst the other coarser design one is employed for the exact geometry representation as well as the optimal material and thickness depiction. Size and shape design variables are in turn the ceramic volume fraction and z-axis coordinate of the top side of the MFG plate coincidentally assigned to each of control points on this surface. Flexibly utilizing such two surfaces helps diminish a large number of design variables and considerably save the computational cost in optimization problems, yet still appropriately manifesting optimal material and thickness profiles. Additionally, this definition accurately simulates mechanical behavior of MFG plates in analysis ones as well. A recently developed derivative-free adaptive hybrid evolutionary firefly algorithm (AHEFA) is used to solve constrained frequency maximization problems. Several numerical examples are executed to verify the effectiveness and robustness of the present paradigm. (C) 2018 Published by Elsevier B.V.
机译:本文首先提出了一种新颖的数值方法,可以在等角几何分析(IGA)框架内自由振动的同时优化多方向功能梯度(MFG)板的材料分布(尺寸)和厚度变化(形状)。提出了等几何多网格设计(IMD)方法,以通过k细化策略生成两个不同的非均匀有理B样条(NURBS)曲面。依靠IGA和广义剪切变形理论(GSDT)的一种更精细的分析被用于有限元分析(FEA)中的未知解近似。而另一种较粗略的设计则用于精确的几何图形表示以及最佳的材料和厚度描述。尺寸和形状设计变量依次是MFG板顶侧的陶瓷体积分数和z轴坐标,同时指定给该表面上的每个控制点。灵活地利用这两个表面有助于减少大量设计变量,并在节省优化问题时显着节省计算成本,但仍能适当地体现出最佳的材料和厚度轮廓。此外,该定义还可以精确地模拟分析板中MFG板的机械性能。最近开发的无导数自适应混合进化萤火虫算法(AHEFA)用于解决受约束的频率最大化问题。执行几个数值示例以验证本范例的有效性和鲁棒性。 (C)2018由Elsevier B.V.发布

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