胡平

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:吉林工业大学

学位:博士

所在单位:机械工程学院

电子邮箱:pinghu@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Explicit isogeometric topology optimization based on moving morphable voids with closed B-spline boundary curves

点击次数:

论文类型:期刊论文

发表时间:2020-03-01

发表刊物:STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

收录刊物:EI、SCIE

卷号:61

期号:3

页面范围:963-982

ISSN号:1615-147X

关键字:Topology optimization; Moving morphable voids; Moving morphable components; NURBS; Isogeometric analysis

摘要:In this paper, we propose an explicit isogeometric topology optimization approach based on moving morphable voids (MMVs) with closed B-spline boundary curves, named TOP-IGA-MMV in short. We model the design domain by a non-uniform rational B-spline (NURBS) patch, and then employ the NURBS-based isogeometric analysis (IGA) for structural response and the well-established adjoint approach for sensitivity analysis. As for the geometry representation of structural topology, we utilize MMVs to describe boundaries of void material regions and model MMVs by closed star-like B-spline curves. Design variables consist of the coordinates of the central points and the distances from the central points to their corresponding independent control points of these closed B-spline MMVs. We perform structure analysis on a coarse mesh in which four identification schemes (control points, nodal points, Gaussian points, and Greville points) are adopted to form the Young's modulus and volume fraction of a NURBS element and plot the structural topology on a high-resolution mesh after obtaining explicit boundaries. Three benchmark numerical examples are presented, demonstrating the effectiveness of TOP-IGA-MMV for topology optimization with different initial design and identification schemes and comparing numerical efficiency with the solid isotropic material with penalization (SIMP) method and the TOP-IGA-MMC method.