Volume 10, Issue 3 (6-2020)                   2020, 10(3): 493-512 | Back to browse issues page

XML Print


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

Khatibinia M, Roodsarabi M. STRUCTURAL TOPOLOGY OPTIMIZATION BASED ON HYBRID OF PIECEWISE CONSTANT LEVEL SET METHOD AND ISOGEOMETRIC ANALYSIS. International Journal of Optimization in Civil Engineering 2020; 10 (3) :493-512
URL: http://ijoce.iust.ac.ir/article-1-448-en.html
Abstract:   (8309 Views)
The present study proposes a hybrid of the piecewise constant level set (PCLS) method and isogeometric analysis (IGA) approach for structural topology optimization. In the proposed hybrid method, the discontinuities of PCLS functions is used in order to present the geometrical boundary of structure. Additive Operator Splitting (AOS) scheme is also considered for solving the Lagrange equations in the optimization problem subjected to some constraints. For reducing the computational cost of the PCLS method, the Merriman–Bence–Osher (MBO) type of projection scheme is applied. In the optimization process, the geometry of structures is described using the Non–Uniform Rational B–Splines (NURBS)–based IGA instead of the conventional finite element method (FEM). The numerical examples illustrate the efficiency of the PCLS method with IGA in the efficiency, convergence and accuracy compared with the other level set methods (LSMs) in the framework of 2–D structural topology optimization. The results of the topology optimization reveal that the proposed method can obtain the same topology in lower number of convergence iteration.
Full-Text [PDF 1018 kb]   (3309 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2020/07/14 | Accepted: 2020/07/14 | Published: 2020/07/14

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