噪声与振动控制Issue(3)：203-207,217,6.DOI:10.3969/j.issn.1006-1335.2013.03.046
运用改进的量子遗传算法进行结构损伤识别
Application of Improved Quantum Genetic Algorithm for Structure Damage Identification
摘要
Abstract
Damage identification with modal parameters derived from the measured dynamic data is one of the common methods in damage identification of structures. Quantum genetic algorithms were introduced in this paper to process the modal parameters. To make it more favorable for the damage identification of complex structures, an improved dynamic strategy was proposed to adjust the quantum rotation corner. Then, the strategy was employed for the damage identification of a framework structure. In the process of identification, an objective function of quantum genetic algorithm was established based on the 1-norm of the difference between the flexure matrices of damaged and undamaged structures. Results show that the proposed method can detect the appearance, location and extent of the framework damage accurately and efficiently. Meanwhile, its anti-noise capacity can also be observed.关键词
振动与波/量子遗传算法/改进的量子遗传算法/损伤识别Key words
vibration and wave/quantum genetic algorithm (QGA)/improved quantum genetic algorithm (IQGA)/damage identification分类
数理科学引用本文复制引用
..运用改进的量子遗传算法进行结构损伤识别[J].噪声与振动控制,2013,(3):203-207,217,6.
