基于改进布谷鸟搜索算法的架桥机结构损伤识别

针对架桥机结构损伤的特点及布谷鸟搜索算法存在收敛速度慢、缺乏活力等问题,从动态发现概率、步长和莱维飞行三个方面对布谷鸟搜索算法进行了改进.以TLJ900型架桥机的主梁为研究对象,针对裂纹损伤,以固有频率和模态保证准则作为损伤检测的指标,用改进后的布谷鸟搜索算法对架桥机的结构进行了损伤识别.仿真结果表明：与其他智能优化算法相比,改进算法的收敛速度和全局寻优能力有明显的提升,能更准确的判断出架桥机结构损伤的位置和程度,故障识别精度更高.

Structural damage identification of bridge erecting machine based on improved Cuckoo search algorithm

Aiming at structure damage characteristics of bridge erecting machines, a slower convergence speed and a lack of flexibility in the Cuckoo search algorithm （CSA）, the improved Cuckoo arch algorithm （ICSA） is generated based on the dynamic detection probability, step length and levy flight method. In this paper, taking the girder of TLJ900 bridge erecting machine as an example, we take the natural frequency and the modal assurance criterion （MAC） as indexes of damage detection in view of the crack damage, and then the ICSA is applied to identifying the structure damage. The simulation results show that, compared with other intelligent optimization algorithms, the convergence speed and the global optimization ability of the improved algorithm have a significant improvement, it can more accurately judge the damage location and degree of structure than its counterpart, which illuminates the improved algorithm has a higher damage diagnosis precision.