Volume 6, Issue 2 (6-2016)                   IJOCE 2016, 6(2): 303-317 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Kazemi H S, Tavakkoli S M, Naderi R. ISOGEOMETRIC TOPOLOGY OPTIMIZATION OF STRUCTURES CONSIDERING WEIGHT MINIMIZATION AND LOCAL STRESS CONSTRAINTS. IJOCE 2016; 6 (2) :303-317
URL: http://ijoce.iust.ac.ir/article-1-251-en.html
Abstract:   (21261 Views)

The Isogeometric Analysis (IA) is utilized for structural topology optimization  considering minimization of weight and local stress constraints. For this purpose, material density of the structure  is  assumed  as  a  continuous  function  throughout  the  design  domain  and approximated using the Non-Uniform Rational B-Spline (NURBS) basis functions. Control points of the density surface are considered as design variables of the optimization problem that can change the topology during the optimization process. For initial design, weight and stresses of the structure are obtained based on full material density over the design domain. The  Method  of  Moving  Asymptotes  (MMA)  is  employed  for  optimization  algorithm. Derivatives of the objective function and constraints with respect to the design variables are determined  through  a  direct  sensitivity  analysis.  In  order  to  avoid  singularity  a  relaxation technique  is  used  for  calculating  stress  constraints.  A  few  examples  are  presented  to demonstrate the performance of the method. It is shown that using the IA method and an appropriate stress relaxation technique can lead to reasonable optimum layouts.

Full-Text [PDF 984 kb]   (5936 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2015/12/18 | Accepted: 2015/12/18 | Published: 2015/12/18

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb