摘要
与遗传算法的其他应用领域相比,使用遗传算法进行损伤检测的成功更加依赖于搜索效率和在对同一类问题进行优化时搜索效率的变动程度。文中在建立表面粘贴有压电片材料的完好及损伤悬臂复合材料层合壳体有限元动力学模型的基础上,研究对遗传算法进行优化,以改善搜索效率和效率变动程度;并对遗传算法进行损伤检测时迭代次数的分布规律进行研究。
Compared with other applications for genetic algorithm（GA）, the success of structural damage detection using GA is more dependent on the search efficiency and its changes in processing the same type of structures. By buliding the finite element model of intac and damaged laminated composite cylindricla shell with the piezoelectric smart materials on its surface, the optimization for GA was researched for improvement of search efficiency and its changes, and the distribution disciplinarian of generation＇ s number was also studied.
出处
《机械强度》
EI
CAS
CSCD
北大核心
2006年第2期240-244,共5页
Journal of Mechanical Strength
基金
国家自然科学基金资助项目(50375123
10472093)~~
关键词
遗传算法
损伤检测
搜索效率
迭代次数
Genetic algorithm
Damage detection
Search efficiency
Geaeration＇s nmnber
