Sun Hongyu, Dong Jingqi, Diao Xi, Huang Xincheng, Huang Ziyi, Cai Zhichao
School of Physical Sciences and Engineering, Beijing Jiaotong University, Beijing 100044, China.
State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China.
Sensors (Basel). 2024 Aug 11;24(16):5204. doi: 10.3390/s24165204.
High-strength bolts are crucial load-bearing components of wind turbine towers. They are highly susceptible to fatigue cracks over long-term service and require timely detection. However, due to the structural complexity and hidden nature of the cracks in wind turbine tower bolts, the small size of the cracks, and their variable propagation directions, detection signals carrying crack information are often drowned out by dense thread signals. Existing non-destructive testing methods are unable to quickly and accurately characterize small cracks at the thread roots. Therefore, we propose an ultrasonic phased array element arrangement method based on the Fermat spiral array. This method can greatly increase the fill rate of the phased array with small element spacing while reducing the effects of grating and sidelobes, thereby achieving high-energy excitation and accurate imaging with the ultrasonic phased array. This has significant theoretical and engineering application value for ensuring the safe and reliable service of key wind turbine components and for promoting the technological development of the wind power industry.
高强度螺栓是风力发电机组塔筒的关键承重部件。在长期服役过程中，它们极易产生疲劳裂纹，需要及时检测。然而，由于风力发电机组塔筒螺栓裂纹的结构复杂性、隐蔽性、裂纹尺寸小以及扩展方向多变，携带裂纹信息的检测信号常被密集的螺纹信号淹没。现有的无损检测方法无法快速、准确地表征螺纹根部的小裂纹。因此，我们提出一种基于费马螺旋阵列的超声相控阵元件布置方法。该方法在减小元件间距的同时，能大幅提高相控阵的填充率，降低栅瓣和旁瓣的影响，从而实现超声相控阵的高能激励和精确成像。这对于确保风力发电机组关键部件的安全可靠运行以及推动风电行业技术发展具有重要的理论和工程应用价值。
