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首页> 外文期刊>Composite Structures >Modeling and optimization of functionally graded plates under thermo-mechanical load using isogeometric analysis and adaptive hybrid evolutionary firefly algorithm
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Modeling and optimization of functionally graded plates under thermo-mechanical load using isogeometric analysis and adaptive hybrid evolutionary firefly algorithm

机译:利用等几何分析和自适应混合进化萤火虫算法对热机械载荷下功能梯度板的建模和优化

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The paper presents an effective numerical approach for modeling and optimizing the ceramic volume fraction distribution of functionally graded (FG) plates in the thermo-mechanical environment. Ceramic volume fraction design variables at control points whose coordinates are located along the plate thickness by Greville abscissae are used to describe the material distribution using the B-spline basis functions. Continuously altering macroscopic material properties can therefore be easily captured by selecting a proper order of these B-spline functions without any extra terms. The temperature-dependent material properties are then evaluated by either the rule of mixture or the Mori-Tanaka scheme. A non-uniform rational B-splines (NURBS)-based isogeometric finite element model associated with the third-order shear deformation theory (TSDT) is utilized for the static analysis of the FG plates. A recently proposed adaptive hybrid evolutionary firefly algorithm (AHEFA) is employed to solve compliance minimization problems with volume constraints. This algorithm effectively enhances the trade-off between the global and local search abilities, the solution accuracy and the convergence speed are thus improved dramatically. Several numerical examples are examined to confirm the effectiveness and robustness of the present method. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文提出了一种有效的数值方法,用于在热机械环境中对功能梯度(FG)板的陶瓷体积分数分布进行建模和优化。控制点处的陶瓷体积分数设计变量的坐标通过Greville横坐标沿板厚定位,这些变量用于使用B样条基函数描述材料分布。因此,可以通过选择这些B样条函数的适当顺序来轻松捕获连续变化的宏观材料属性,而无需任何额外的条款。然后,通过混合法则或Mori-Tanaka方案评估与温度相关的材料性能。与三阶剪切变形理论(TSDT)相关的基于非均匀有理B样条(NURBS)的等几何有限元模型用于FG板的静态分析。最近提出的自适应混合进化萤火虫算法(AHEFA)用于解决体积受限的合规性最小化问题。该算法有效地提高了全局和局部搜索能力之间的权衡,求解精度和收敛速度大大提高。检查了几个数值示例,以确认本方法的有效性和鲁棒性。 (C)2017 Elsevier Ltd.保留所有权利。

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