摘要
提出一种基于频响函数和遗传算法的结构损伤识别方法。以单元刚度折减因子为遗传算法的优化变量,以测试频响函数和计算频响函数的形状相关系数来构造遗传算法的优化目标函数和适应度函数;为克服二进制编码的缺点,采用浮点数编码方案;最后通过一个桁架结构模型进行数值模拟,计算结果表明,即使在考虑一定测量噪声水平的情况下,仍然能够准确识别出结构的多处损伤,验证了该方法的有效性和可行性。
A combined method for structural damage identification based on frequency response function(FRF)and genetic algorithm(GA)was presented.The reducing factors of element stiffnesses were used as the optimization variables,and the cross signature assurance criterion(CSAC)of the measured FRF and the analytical FRF was used to construct the optimization object function and the fitness function of GA.In order to avoiding the weakness of binary encoding,the floating point number encoding was used in GA.A numerical damage identification example of a truss model was given.The results show that the multi-damage of the truss can be identified well even if the measuring noise is considered.The effectiveness of the proposed method is verified.
出处
《振动与冲击》
EI
CSCD
北大核心
2008年第12期28-30,共3页
Journal of Vibration and Shock
关键词
频响函数
遗传算法
形状相关系数
损伤识别
frequency response function(FRF)
genetic algorithm(GA)
cross signature assurance criterion(CSAC)
damage identification
