运用改进的量子遗传算法进行结构损伤识别

摘要

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.%　　利用振动得到的模态参数进行结构的损伤识别，是当前结构损伤识别领域中采用较为普遍的方法之一。文中引入量子遗传算法处理模态参数，为了让量子遗传算法更适用于复杂结构的损伤识别，还提出了改进的动态策略调整量子门旋转角，并应用于某框架结构的损伤识别。在识别过程中，以结构损伤前后柔度矩阵差的1范数为基础建立改进的量子遗传算法的目标函数，进行结构的损伤识别。结果表明该方法能准确、有效地判断框架结构的损伤发生、损伤位置以及损伤程度，并且具有一定的抗噪能力。