Crack Detection Method for Wind Turbine Tower Bolts Using Ultrasonic Spiral Phased Array

Author:

Sun Hongyu12ORCID,Dong Jingqi1,Diao Xi1,Huang Xincheng1,Huang Ziyi3,Cai Zhichao2

Affiliation:

1. School of Physical Sciences and Engineering, Beijing Jiaotong University, Beijing 100044, China

2. State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China

3. Department of Electrical and Electronic Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK

Abstract

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.

Funder

Open Project of the State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University

Tangshan Science and Technology Planning Project

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Talent Fund Project of Beijing Jiaotong University

Hubei Key Laboratory of Modern Manufacturing Quality Engineering Open Fund

Publisher

MDPI AG

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