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Refined models for the optimal design of adaptive structures using simulated annealing

机译:使用模拟退火优化自适应结构优化设计的模型

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This paper deals with refined finite element models based on higher--order displacement fields applied to the mechanical and electrical behavior of laminated composite plate structures with embedded and/or surface bonded piezoelectric actuators and sensors. Simulated annealing, a stochastic global optimization technique is implemented to find the optimal location of piezoelectric actuators in order to maximize its efficiency. The same technique is also used to solve optimization problems of piezolaminated plate structures where the discrete design variables are the ply orientation angles of orthotropic layers. The implemented scheme helps to recover from the premature convergence to a local optimum, without the need of reinitiating the optimal design process, as it is the case of the gradient-based methods with continuous design variables. To show the performance of the proposed optimization methods, two illustrative and simple examples are presented and discussed.
机译:本文研究了基于高阶位移场的精炼有限元模型,该高阶位移场适用于具有嵌入式和/或表面粘结压电致动器和传感器的层压复合板结构的机械和电气性能。模拟退火是一种随机全局优化技术,旨在找到压电致动器的最佳位置,以使其效率最大化。同样的技术也可用于解决压电化板结构的优化问题,其中离散设计变量为正交各向异性层的层定向角。所实施的方案有助于从过早收敛恢复到局部最优,而无需重新启动最优设计过程,因为基于梯度的方法具有连续的设计变量。为了显示所提出的优化方法的性能,给出并讨论了两个说明性和简单的示例。

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