中山大学学报（自然科学版）2017，Vol.56Issue(2)：88-92,5.DOI:10.13471/j.cnki.acta.snus.2017.02.015
基于模拟退火机制的人工蜂群算法的结构损伤识别
Damage identification using the simulated annealing and ABC algorithm
摘要
Abstract
Artificial Bee Colony Algorithm is an optimization method based on simulating the bee's behavior.It is a kind of swarm intelligence and used widely for engineering problem.Its main character is just to make the comparison between the solutions,at last acquiring the global optimal solution.Its convergence speed is fast but it is easy to trap into the local optimum.Simulated Annealing process is introduced in the algorithm to overcome the shortage.In the damage identification,an objective function is defined based on the residual force vector,and then the proposed method is used to identify the structural damage.A planar truss is studied as an example to illustrate the correctness and efficiency of the present method.Study shows excellent identified results can be obtained even with noisy measurements.Compared with original algorithm,the modified one has a quicker convergence rate and gets a better result,and it is not sensitive to artificial measurement noise.关键词
人工蜂群算法/模拟退火算法/残余力向量/损伤识别Key words
ABC algorithm/simulated annealing/residual force vector/damage identification分类
通用工业技术引用本文复制引用
周梓檀,刘济科,吕中荣,丁政豪..基于模拟退火机制的人工蜂群算法的结构损伤识别[J].中山大学学报（自然科学版）,2017,56(2):88-92,5.基金项目
国家自然科学基金(11172333,11272361) （11172333,11272361）
广东省自然科学基金(2015A030313126) （2015A030313126）
广东省科技计划项目(2014A020218004,2016A020223006) （2014A020218004,2016A020223006）
