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Structural topology optimization with design-dependent pressure loads

机译:结构拓扑优化与设计相关的压力载荷

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摘要

One way to solve topology optimization of continuum structures under design-dependent pressure loads is to recover the loading surface at each step of the minimization process. During the topology evolution, the intermediate topologies obtained by using the SIMP (Solid Isotropic Material with Penalization) method actually can be regarded as gray scale images, for which the paper proposes a new material boundary identification scheme based on image segmentation technique. The Distance Regularized Level Set Evolution (DRLSE) method proposed by Li et al., IEEE Trans Image Process 19(12):3243-3254 (2010) is utilized to detect the image edge. Then the pressure boundary is represented as the zero level contour of a level set function (LSF). Inheriting the merits of the level set method, the current scheme can handle the topological change of the pressure boundary efficiently and be easily extended to the three-dimensional problems. In addition, the scheme is more stable compared with the conventional loading surface searching methods since it works well for the intermediate topologies with local scattered densities. A new optimization framework is also proposed to avoid the load sensitivity analysis. Four numerical examples are presented to show the validity and advantages of the proposed scheme.
机译:解决与设计有关的压力载荷下连续体结构拓扑优化的一种方法是在最小化过程的每个步骤中恢复载荷表面。在拓扑演化过程中,使用SIMP(带罚分的固体各向同性材料)方法获得的中间拓扑实际上可以视为灰度图像,为此,提出了一种基于图像分割技术的新的材料边界识别方案。 Li等人在IEEE Trans Image Process 19(12):3243-3254(2010)中提出的距离正则化水平集演化(DRLSE)方法用于检测图像边缘。然后,将压力边界表示为水平设置功能(LSF)的零水平轮廓。继承了水平集方法的优点,当前方案可以有效地处理压力边界的拓扑变化,并且可以容易地扩展到三维问题。此外,与传统的加载表面搜索方法相比,该方案更稳定,因为它适用于具有局部分散密度的中间拓扑。还提出了一种新的优化框架,以避免负荷敏感性分析。给出了四个数值例子,说明了该方案的有效性和优越性。

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