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An improved adaptive constraint aggregation for integrated layout and topology optimization

机译:用于集成布局和拓扑优化的改进的自适应约束聚合

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The purpose of this paper is to present a Kreisselmeier-Steinhauser (KS) function based adaptive constraint aggregation approach. It is implemented within the integrated layout and topology optimization of multi-component structure systems to avoid using large numbers of non-overlapping constraints defined by means of the previously proposed finite circle method (FCM). An improved adaptive approach is then put forward to obtain proper aggregation parameters for the KS function based constraint aggregation, contributing to less numerical difficulties while meeting the same aggregation precision compared with the existing adaptive approach. Furthermore, the complex step derivative approximation is utilized to yield better sensitivities for the aggregated constraint functions with high nonlinearity. Moreover, during the integrated layout and topology optimization, multi-point constraints (MPC) are applied to establish the interconnections between movable components and supporting structures, which can use fixed finite element meshes and analytical sensitivities. Finally, some numerical examples are tested to demonstrate the validity and effectiveness of the proposed formulation. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文的目的是提出一种基于Kreisselmeier-Steinhauser(KS)函数的自适应约束聚合方法。它是在多组件结构系统的集成布局和拓扑优化中实现的,以避免使用借助先前提出的有限圆法(FCM)定义的大量非重叠约束。然后提出了一种改进的自适应方法来为基于KS函数的约束聚合获得合适的聚合参数,与现有的自适应方法相比,在满足相同聚合精度的同时,减少了数值难度。此外,对于具有高非线性度的聚合约束函数,利用复步阶导数逼近可以产生更好的灵敏度。此外,在集成布局和拓扑优化过程中,多点约束(MPC)用于建立可移动部件和支撑结构之间的互连,这些互连可以使用固定的有限元网格和分析灵敏度。最后,测试了一些数值示例,以证明所提出配方的有效性和有效性。 (C)2015 Elsevier B.V.保留所有权利。

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