【作者】 姚任之； 吕中荣； 刘济科；

【Author】 YAO R.Z.;LV Z.R.;LIU J.K.;Department of Mechanics,Sun Yat-sen University;

【机构】 中山大学应用力学与工程系；

【摘要】 本文通过研究改进的人工蜂群算法对功能梯度材料梁进行局部损伤识别。首先对功能梯度梁进行有限元建模,获得其自由振动和强迫振动振动方程,在此基础上,对其进行损伤识别研究。选取模态和频率构建目标函数,利用改进人工蜂群算法进行识别,通过在人工蜂群算法中引入差分进化算法机制,实现了对原始蜂群算法的改进,提高全局搜索能力。算例表明改进算法能达到良好的识别精度,并且具有较好的抗噪声能力。更多还原

【Abstract】 An improved artificial bee colony algorithm is proposed in this study to identify the damage in more complicated structure. Firstly, AFG beam is established by finite element method to study the damage identification. Mode shapes and natural frequencies are used to build objective function. The differential evolution mechanism is introduced to modify the artificial bee colony algorithm and improve the global search ability. The efficiency and robustness of the improved method are verified by numerical simulations. The comparison between the improved algorithm and original ABC algorithm reveals the superiority of the improved artificial bee colony algorithm in structural damage identification.更多还原