锆钛酸铅
激光多普勒测振仪
声学
材料科学
涡轮叶片
无损检测
分层(地质)
快速傅里叶变换
涡轮机
结构工程
机械工程
计算机科学
工程类
地质学
铁电性
物理
波长
光电子学
算法
古生物学
电介质
构造学
分布反馈激光器
量子力学
俯冲
作者
Ali Zabihi,F. Aghdasi,Chadi Ellouzi,Nand K. Singh,Ratneshwar Jha,Chen Shen
出处
期刊:Energies
[MDPI AG]
日期:2024-05-01
卷期号:17 (9): 2165-2165
被引量:8
摘要
In response to the growing global demand for both energy and a clean environment, there has been an unprecedented rise in the utilization of renewable energy. Wind energy plays a crucial role in striving for carbon neutrality due to its eco-friendly characteristics. Despite its significance, wind energy infrastructure is susceptible to damage from various factors including wind or sea waves, rapidly changing environmental conditions, delamination, crack formation, and structural deterioration over time. This research focuses on investigating non-destructive testing (NDT) of wind turbine blades (WTBs) using approaches based on the vibration of the structures. To this end, WTBs are first made from glass fiber-reinforcement polymer (GFRP) using composite molding techniques, and then a short pulse is generated in the structure by a piezoelectric actuator made from lead zirconate titanate (PZT-5H) to generate guided waves. A numerical approach is presented based on solving the elastic time-harmonic wave equations, and a laser Doppler vibrometer (LDV) is utilized to collect the vibrational data in a remote manner, thereby facilitating the crack detection of WTBs. Subsequently, the wave propagation characteristics of intact and damaged structures are analyzed using the Hilbert–Huang transformation (HHT) and fast Fourier transformation (FFT). The results reveal noteworthy distinctions in damaged structures, where the frequency domain exhibits additional components beyond those identified by FFT, and the time domain displays irregularities in proximity to the crack region, as detected by HHT. The results suggest a feasible approach to detecting potential cracks of WTBs in a non-contact and reliable way.
科研通智能强力驱动
Strongly Powered by AbleSci AI