基于元启发式算法的层合组合梁弹性常数辨识

M. Ettefagh, H. Biglari, M. Azvar, H. Emdadi
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引用次数: 0

摘要

本文采用ABC (Artificial Bee Colony)算法、PSO (Particle Swarm Optimization)算法、TS (Tabu Search)算法和SA (simulation退火算法)算法,通过实验模态分析测量复合材料层合梁的振动频率来估计其弹性常数。为此,根据测量频率与数值计算频率之间的偏差平方定义合适的目标函数。然后通过最小化这个用弹性常数表示的函数,利用前面的算法,这个常数可以估计出来。此外,还报道了上述算法的综合比较结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elastic constant identification of laminated composite beam with metaheuristic algorithms
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.
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