DocumentCode :
1778031
Title :
Elastic constant identification of laminated composite beam with metaheuristic algorithms
Author :
Ettefagh, M.M. ; Biglari, H. ; Azvar, M. ; Emdadi, H.
Author_Institution :
Mech. Eng. Dept., Univ. of Tabriz, Tabriz, Iran
fYear :
2014
fDate :
23-25 June 2014
Firstpage :
60
Lastpage :
67
Abstract :
In this paper, ABC (Artificial Bee Colony), PSO (Particle Swarm Optimization), TS (Tabu Search) and SA (Simulated Annealing) algorithms are applied to estimate the elastic constant of the laminated composite beam by means of measuring vibration frequency of the beam using experimental modal analysis. For this purpose, a proper object function is defined based on the square of deviation between measured and numerically calculated frequency. Then by minimizing this function which is in term of the elastic constant employing preceding algorithms, this constant can be estimated. Also, comprehensive comparative results of mentioned algorithms are reported.
Keywords :
beams (structures); composite materials; elasticity; laminates; particle swarm optimisation; search problems; simulated annealing; vibrations; ABC; PSO; SA; TS; artificial bee colony; elastic constant identification; experimental modal analysis; laminated composite beam; metaheuristic algorithms; particle swarm optimization; simulated annealing; tabu search; vibration frequency; Algorithm design and analysis; Equations; Frequency measurement; Laser beams; Modal analysis; Optimization; ABC; Laminated Composite Beam; Modal Analysis; PSO; SA; TS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location :
Alberobello
Print_ISBN :
978-1-4799-3019-7
Type :
conf
DOI :
10.1109/INISTA.2014.6873598
Filename :
6873598
Link To Document :
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