Level Set Topology Optimization for Design Dependent Hydrostatic Loading Using the Reproducing Kernel Particle Method

A. Neofytou, R. Picelli, Jiun-Shyan Chen, H. Kim
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Abstract

Level set topology optimization for the design of structures subjected to design dependent hydrostatic loads is considered in this paper. Problems involving design-dependent loads remain a challenge in the field of topology optimization. In this class of problems, the applied loads depend on the structure itself. The direction, location and magnitude of the loads may change as the shape of the structure changes throughout optimization. The main challenge lies in determining the surface on which the load will act. In this work, the reproducing kernel particle method (RKPM) is used in combination with the level set method to handle the dependence of loading by moving the particles on the structural boundary throughout the optimization process. This allows for the hydrostatic pressure loads to be applied directly on the evolving boundary. One-way fluid-structure coupling is considered here. A hydrostatic pressure field governed by Laplace’s equation is employed to compute the pressure acting on linear elastic structures. The objective in this optimization problem is to minimize compliance of these structures. Numerical results show good agreement with those in the literature.
基于再现核粒子法的设计相关静压载荷水平集拓扑优化
研究了受设计相关静水荷载作用的结构的水平集拓扑优化问题。涉及设计相关负载的问题仍然是拓扑优化领域的一个挑战。在这类问题中,所施加的载荷取决于结构本身。在优化过程中,载荷的方向、位置和大小可能随着结构形状的变化而变化。主要的挑战在于确定载荷作用的表面。本文将再生核粒子法(RKPM)与水平集方法相结合,通过在优化过程中移动结构边界上的粒子来处理加载的依赖性。这允许静水压力载荷直接施加在不断变化的边界上。这里考虑的是单向流固耦合。采用拉氏方程控制的静水压力场计算作用在线弹性结构上的压力。该优化问题的目标是使这些结构的柔度最小化。数值结果与文献结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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