The aim of the paper is to investigate the optimum design of truss structures by considering different stress and displacement constraints. For that reason, the flower pollination algorithm based methodology was applied for sizing optimization of space truss structures. Flower pollination algorithm is a metaheuristic algorithm inspired by the pollination process of flowering plants. By the imitation of cross-pollination and self-pollination processes, the randomly generation of sizes of truss members are done in two ways and these two types of optimization are controlled with a switch probability. In the study, a 72 bar space truss structure was optimized by using five different cases of the constraint limits. According to the results, a linear relationship between the optimum structure weight and constraint limits was observed.
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21 July 2017
INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016)
19–25 September 2016
Rhodes, Greece
Research Article|
July 21 2017
Constraint factor in optimization of truss structures via flower pollination algorithm Available to Purchase
Gebrail Bekdaş;
Gebrail Bekdaş
a)
1Department of Civil Engineering,
Istanbul University
, 34320 Avcılar /Istanbul/Turkey
Search for other works by this author on:
Sinan Melih Nigdeli;
Sinan Melih Nigdeli
b)
1Department of Civil Engineering,
Istanbul University
, 34320 Avcılar /Istanbul/Turkey
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Baris Sayin
Baris Sayin
c)
1Department of Civil Engineering,
Istanbul University
, 34320 Avcılar /Istanbul/Turkey
Search for other works by this author on:
Gebrail Bekdaş
1,a)
Sinan Melih Nigdeli
1,b)
Baris Sayin
1,c)
1Department of Civil Engineering,
Istanbul University
, 34320 Avcılar /Istanbul/Turkey
AIP Conf. Proc. 1863, 540003 (2017)
Citation
Gebrail Bekdaş, Sinan Melih Nigdeli, Baris Sayin; Constraint factor in optimization of truss structures via flower pollination algorithm. AIP Conf. Proc. 21 July 2017; 1863 (1): 540003. https://doi.org/10.1063/1.4992680
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