摘要
为了更有效地实现结构损伤诊断的反演计算,提出了灵敏度遗传算法。将灵敏度修正操作加入到在遗传算法计算过程中,使遗传过程得以快速收敛,并增加了反演计算的准确性。利用四层平面框架进行数值模拟,结果表明,遗传算法能与灵敏度操作很好地结合,灵敏度遗传算法与常规遗传算法相比,是更高效和准确的结构反演计算方法,而且其在带噪声反演计算中也有良好的表现。
The sensitivity genetic algorithm is developed in order to carry out effectively the inversion analysis of the diagnosis of the structure damage.The genetic algorithm with the technique of sensitivity can not only reduce the operation time of the program but also increase the degree of identification accuracy.The method was used in simulation with a 4 floor plane frame.The simulation results show that the genetic algorithm can be combined with the technique of sensitivity ideally.The sensitivity genetic alg...
出处
《重庆建筑大学学报》
EI
CSCD
北大核心
2008年第2期80-84,共5页
Journal of Chongqing Jianzhu University
关键词
损伤诊断
反演计算
遗传算法
灵敏度分析
damage diagnosis
inverse computation
genetic algorithm
sensitivity analysis
