返回
Semi-Lagrange method for level-set-based structural topology and shape optimization
DOI:10.1007/s00158-005-0597-y.png)
摘要
En 中文
In this paper, we introduce a semi-Lagrange scheme to solve the level-set equation in structural topology optimization. The level-set formulation of the problem expresses the optimization process as a solution to a Hamilton-Jacobi partial differential equation. It allows for the use of shape sensitivity to derive a speed function for a descent solution. However, numerical stability condition in the explicit upwind scheme for discrete level-set equation severely restricts the time step, requiring a large number of time steps for a numerical solution. To improve the numerical efficiency, we propose to employ a semi-Lagrange scheme to solve level-set equation. Therefore, a much larger time step can be obtained and a much smaller number of time steps are required. Numerical experiments comparing the semi-Lagrange method with the classical explicit upwind scheme are presented for the problem of mean compliance optimization in two dimensions.
Keyword:
structural topology optimization
level-set method
semi-Lagrange method
期刊
IF:
4
论文数:
4.9K
被引数:
1.7W
机构
暂无机构信息
引用论文
Development and Validation of the University of Washington Clinical Assessment of Music Perception Test华盛顿大学音乐知觉临床评估测试的开发和验证
SURF: A connectivity-based space filling curve construction algorithm in high genus 3D surface WSNsSURF: 一种基于连通性的高属三维曲面WSNs空间填充曲线构建算法

