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A level-set method for vibration and multiple loads structural optimization

机译:振动和多载荷结构优化的水平集方法

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摘要

We extend the level-set method for shape and topology optimization to new objective functions such as eigenfre-quencies and multiple loads. This method is based on a combination of the classical shape derivative and of the Osher-Sethian level-set algorithm for front propagation. In two and three space dimensions we maximize the first eigen-frequency or we minimize a weighted sum of compliances associated to different loading configurations. The shape derivative is used as an advection velocity in a Hamilton-Jacobi equation for changing the shape. This level-set method is a low-cost shape capturing algorithm working on a fixed Eulerian mesh and it can easily handle topology changes.
机译:我们将用于形状和拓扑优化的水平集方法扩展到新的目标函数,例如特征频率和多重载荷。该方法基于经典形状导数和用于前方传播的Osher-Sethian水平集算法的组合。在两个和三个空间维度中,我们最大化第一本征频率,或者我们最小化与不同负载配置相关的柔量的加权总和。在汉密尔顿-雅各比方程中,形状导数用作对流速度以改变形状。这种水平集方法是一种在固定的欧拉网格上工作的低成本形状捕获算法,它可以轻松处理拓扑更改。

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