航空发动机风扇叶片结构损伤识别研究

Research of Fan Blade of Aero-Engine Damage Identification in Structures

航空发动机风扇叶片常常因为疲劳裂纹而引起整个结构的损坏,导致重大的安全事故。基于此,提出基于BP神经网络研究航空发动机风扇叶片结构损伤识别的方法,采用有限元法计算出的结构固有频率平方的变化量为标识量进行网络仿真,通过对仿真数据的分析,比较准确地识别出结构损伤的位置和程度,为及时地发现损伤并且进行针对性的维修提供依据。

The severe safety accidents are induced because the fatigue cracks in fan blade of the aero-engine generally result in the malfunctions of the engine components. Consequently this paper provides a method to study fan blade of aero-engine damage identification in structures based on BP neural network and regard the square of the inherent frequency change calculated by ANSYS as the indictor to simulate by network. According to the analysis to the simulation data, identify exactly the location and degree of the damage in structures so as to provide advice to find damage in time and maintain it pertinently.