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Topology optimization of incompressible Navier-Stokes problem by level set based adaptive mesh method

机译:基于水平集的自适应网格方法优化不可压缩Navier-Stokes问题的拓扑

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This paper presents a level set based adaptive mesh method for solving the topology optimization of incompressible Navier-Stokes problem. The objective is to minimize the dissipated power in the fluid, subject to the Navier-Stokes problem as state equations with a fluid volume constraint. The material, distribution information that implicitly represented via level set function is considered as the design variable, which provides an easy way to construct the refinement indicator. Shape and topology sensitivity analysis suggest the steepest descent direction. By the proposed method, the computational expense is mainly focused near the interfaces, which lead to a significant reduction of the computational cost. Although illustrated by the Navier-Stokes problem, we would like to emphasize that our method is not restricted to this particular situation, it can be applied to a wide range of shape or topology optimization problems arising from the fluid dynamics. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文提出了一种基于水平集的自适应网格方法,用于解决不可压缩的Navier-Stokes问题的拓扑优化问题。目的是使流体中的耗散功率最小化,将纳维尔-斯托克斯问题作为具有流体体积约束的状态方程进行处理。通过级别集功能隐式表示的物料分配信息被视为设计变量,这提供了构造精炼指标的简便方法。形状和拓扑敏感性分析表明最陡的下降方向。通过提出的方法,计算费用主要集中在接口附近,这导致计算成本的显着降低。尽管通过Navier-Stokes问题进行了说明,但我们想强调的是,我们的方法并不局限于这种特殊情况,它可以应用于由流体动力学引起的各种形状或拓扑优化问题。 (C)2016 Elsevier Ltd.保留所有权利。

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