International Journal of Optimization in Civil Engineering
عنوان نشریه
Iran University of Science & Technology
Engineering & Technology
http://ijoce.iust.ac.ir
18
agent2
2228-7558
doi
en
jalali
1392
3
1
gregorian
2013
6
1
3
2
online
1
fulltext
en
EFFICIENT SIMULATION FOR OPTIMIZATION OF TOPOLOGY, SHAPE AND SIZE OF MODULAR TRUSS STRUCTURES
Optimal design
Optimal design
پژوهشي
Research
The prevalent strategy in the topology optimization phase is to select a subset of members existing in an excessively connected truss, called Ground Structure, such that the overall weight or cost is minimized. Although finding a good topology significantly reduces the overall cost, excessive growth of the size of topology space combined with existence of varied types of design variables challenges applicability of evolutionary algorithms tailored for simultaneous optimization of topology, shape and size (TSS) in more complicated cases which are of great practical interest. In practice, large-scale truss structures are often modular, formed by joining periodically repeated units. This article organizes a novel simulation approach for this class of truss structures where the main drawbacks of the ground structure-based simulation approach are greatly moderated. The two approaches are independently employed for simultaneous TSS optimization of a modular truss example and the size of topology space as well as the required computation budget to generate an acceptable candidate design is compared. Result comparison reveals by employing the novel approach, problem complexity grows linearly with respect to the number of modules which allows for expanding application of TSS optimizers to complex modular trusses. Use of relative coordinates is also warranted for shape optimization which concludes to a more efficient optimization process.
truss optimization; topology space; sampling complexity; ground structure; relative coordinates
209
223
http://ijoce.iust.ac.ir/browse.php?a_code=A-10-1-101&slc_lang=en&sid=1
A.
Ahrari
`18003194753284600501`

18003194753284600501
No
A. A.
Atai
aataee@ut.ac.ir
`18003194753284600502`

18003194753284600502
Yes