Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Nonlinear dynamic topology optimization with explicit and smooth geometric outline via moving morphable components method

Authors
Lu, ShanbinZhang, ZhaobinGuo, HuiqiangPark, Gyung-JinZuo, Wenjie
Issue Date
Oct-2021
Publisher
Springer Verlag
Keywords
Topology optimization; Moving morphable components; Equivalent static loads; Nonlinear dynamic optimization
Citation
Structural and Multidisciplinary Optimization, v.64, no.4, pp 2465 - 2487
Pages
23
Indexed
SCIE
SCOPUS
Journal Title
Structural and Multidisciplinary Optimization
Volume
64
Number
4
Start Page
2465
End Page
2487
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116229
DOI
10.1007/s00158-021-03000-3
ISSN
1615-147X
1615-1488
Abstract
For nonlinear dynamic topology optimization, explicit geometry information cannot be obtained with the currently density-based topology optimization methods. To directly obtain an explicit geometry structure in nonlinear dynamic topology optimization, the moving morphable components method is employed to find the optimal topology by changing geometrical parameters of a series of components. However, nonlinear dynamic topology optimization is extremely resourced-consuming, since the objective function and constraints should be evaluated by solving the dynamic equations in each optimization cycle. To solve this problem, the equivalent static loads method is introduced to convert a nonlinear dynamic problem into a linear static problem. The equivalent static loads are obtained by nonlinear dynamic analysis and used as linear static loading conditions. Then, the linear static optimization is carried out by using the moving morphable components method. The linear static system is continuously approaching the nonlinear dynamic systems. In this procedure, the key time steps are selected to calculate the equivalent static loads, and optimization is not coupled with nonlinear dynamic analysis. To avoid mesh distortion problems and make optimization more efficient, the transformation variable is introduced to transform the optimization results before nonlinear dynamic analysis. In this paper, the objective function is defined as the minimum strain energy, with the constraint of volume fraction. Three numerical examples are presented to verify the effectiveness of this method.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE