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螺栓松动损伤的亚谐波共振识别方法

发布时间:2019-03-13 18:13
【摘要】:螺栓松动将导致结构完整性的破坏,螺栓连接状态的实时有效监测和评估具有重大意义。提出了一种基于亚谐波共振分析的螺栓松动识别方法。针对螺栓连接结构简化的单自由度非线性模型,采用多尺度方法分析了亚谐波共振现象,定性模拟了螺栓松动损伤亚谐波激励条件。以铝梁螺栓搭接结构为实验对象,利用粘贴在铝梁表面的压电作动/传感单元,采用不同频率的激励信号作用在作动片上,传感片接收响应信号,对其进行频谱分析,通过提取响应频谱中的亚谐波成分进行螺栓松动损伤识别。仿真与实验结果表明,亚谐波产生所需激励频率在两倍固有频率附近,使用亚谐波检测方法能有效识别螺栓松动。
[Abstract]:The loosening of bolt will lead to the damage of structural integrity, and it is of great significance to monitor and evaluate the state of bolt connection in real time and effectively. A bolt loosening identification method based on subharmonic resonance analysis is proposed. In view of the simplified single-degree-of-freedom nonlinear model of bolted connections, the subharmonic resonance phenomenon is analyzed by using multi-scale method, and the subharmonic excitation conditions of loosening damage of bolts are qualitatively simulated. Taking the bolt lap structure of aluminum beam as the experimental object, the piezoelectric actuating / sensing unit pasted on the surface of aluminum beam was used. The excitation signals of different frequencies were used to act on the actuators, and the sensing plates received the response signals and analyzed the frequency spectrum of the sensors. The sub-harmonic component of the response spectrum is extracted to identify the bolt loosening damage. The simulation and experimental results show that the excitation frequency required for sub-harmonic generation is near twice the natural frequency, and the bolt looseness can be effectively identified by using the sub-harmonic detection method.
【作者单位】: 武汉大学工程力学系;
【基金】:国家自然科学基金资助项目(51378402)
【分类号】:TH131.3


本文编号:2439641

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