Basic Study on Performance Comparison of Structural Optimization Software Systems

2014 ◽  
Vol 38 (12) ◽  
pp. 1403-1413 ◽  
Author(s):  
Wook Han Choi ◽  
Cheng Guo Huang ◽  
Gyung-Jin Park ◽  
Tai-Kyung Kim
2016 ◽  
Vol 54 (3) ◽  
pp. 685-699 ◽  
Author(s):  
Wook-han Choi ◽  
Jong-moon Kim ◽  
Gyung-Jin Park

Author(s):  
Stefan Wagner ◽  
Stephan Winkler ◽  
Erik Pitzer ◽  
Gabriel Kronberger ◽  
Andreas Beham ◽  
...  

2013 ◽  
Vol 3 (4) ◽  
pp. 473-478
Author(s):  
P. Armaos

The concept of Structural Optimization has been a topic or research over the past century. Linear Programming Optimization has proved being the most reliable method of structural optimization. Global advances in linear programming optimization have been recently powered by University of Sheffield researchers, to include joint cost, self-weight and buckling considerations. A joint cost inclusion scopes to reduce the number of joints existing in an optimized structural solution, transforming it to a practically viable solution. The topic of the current paper is to investigate the effects of joint cost inclusion, as this is currently implemented in the optimization code. An extended literature review on this subject was conducted prior to familiarization with small scale optimization software. Using IntelliFORM software, a structured series of problems were set and analyzed. The joint cost tests examined benchmark problems and their consequent changes in the member topology, as the design domain was expanding. The findings of the analyses were remarkable and are being commented further on. The distinct topologies of solutions created by optimization processes are also recognized. Finally an alternative strategy of penalizing joints is presented.


1990 ◽  
Vol 27 (12) ◽  
pp. 1057-1059 ◽  
Author(s):  
Torsten Brama ◽  
Ragnar Rosengren

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