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Multi-objective isogeometric integrated optimization for shape control of piezoelectric functionally graded plates

机译:压电功能分级板形状控制的多目标ISOGEORIC综合优化

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This paper presents a novel multi-objective integrated optimization method for static shape control of piezoelectric functionally graded plates (FGPs). The new method combines isogeometric analysis (IGA) and an effective multi-objective non-gradient algorithm which has not been applied to the integrated design of piezoelectric FGPs. Mechanical behavior of the FGPs with surface bonded piezoelectric layers is derived using the IGA associated with a third-order shear deformation theory (TSDT). The high-order continuity of NURBS basis functions in IGA meets the demand of C-1-continuity of the TSDT. In optimal design problem, material layout of the FGPs and control voltages of piezoelectric layers are simultaneously optimized under the conditions of minimum static shape error and maximum first-order natural frequency. The B-spline control points for describing ceramic volume fraction distribution of the FGPs and the applied voltages are taken as design variables. In addition, an improved multi-objective particle swarm optimization algorithm is used as an optimization solver. The validity and applicability of this combination of innovative method are demonstrated through several numerical examples in integrated design. (C) 2021 Elsevier B.V. All rights reserved.
机译:本文介绍了一种新型多目标综合优化方法,用于压电功能梯度板(FGP)的静态控制。新方法结合了异诊测分析(IGA)和一种有效的多目标非梯度算法,其尚未应用于压电FGP的集成设计。使用与三阶剪切变形理论(TSDT)相关联的IGA来导出具有表面粘合压电层的FGP的机械特性。 IGA中NURBS基本功能的高阶连续性符合TSDT C-1连续性的需求。在最佳设计问题中,在最小静态误差和最大一阶天然频率的条件下同时优化压电层的FGP和控制电压的材料布局。用于描述FGP的陶瓷体积分量和施加电压的B样条控制点作为设计变量。另外,改进的多目标粒子群优化算法用作优化求解器。通过综合设计中的几个数值例子证明了这种创新方法组合的有效性和适用性。 (c)2021 Elsevier B.v.保留所有权利。

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