详细信息

基于稀疏盲反卷积算法的波导阵列成像方法    

Waveguide array imaging method using sparse blind deconvolution algorithm

文献类型:期刊文献

中文题名:基于稀疏盲反卷积算法的波导阵列成像方法

英文题名:Waveguide array imaging method using sparse blind deconvolution algorithm

作者:顾梦琦[1];李志文[1];关紫琦[1];贾九红[1]

机构:[1]华东理工大学承压系统与安全教育部重点实验室,上海200237

年份:2025

卷号:44

期号:4

起止页码:620

中文期刊名:声学技术

外文期刊名:Technical Acoustics

收录:;北大核心:【北大核心2023】;

语种:中文

中文关键词:波导阵列;稀疏盲反卷积;超声成像;纵向分辨率;裂纹

外文关键词:waveguide array;sparse blind deconvolution;ultrasonic imaging;vertical resolution;crack

摘要:高温承压设备长期运行在严苛环境中,往往会因裂纹引发设备失效,因此准确地识别裂纹缺陷对提升设备运行的安全性至关重要。波导阵列技术可解决传感器高温失效的问题,应用波导阵列传感装置可以实现高温环境中缺陷的可视化成像。然而受激励脉冲与声衰、衍射等声学效应的影响,波导阵列成像存在纵向分辨率不足等问题。针对这一问题,文章提出采用稀疏盲反卷积算法改善波导阵列成像质量,通过有限元模拟,对不同角度裂纹进行波导阵列成像检测研究,验证该算法性能,并进行试验验证。研究表明,波导阵列成像效果受裂纹与超声波传播方向之间夹角的影响较大,当裂纹方向接近超声传播方向时,较难识别裂纹特征,但采用稀疏盲反卷积算法可以提高成像清晰度,并减弱裂纹尖端衍射效应对成像的影响,改善纵向分辨率,提高检测精度。
Equipment running for long period in high temperature and high pressure environments often experiences equipment failure due to cracks,making accurate defect identification crucial for improving equipment operation safety.Waveguide array technology can address the issue of sensor failure at high temperatures,enabling visual imaging of defects in such environments using waveguide array sensor devices.However,due to factors such as excitation pulse influence,acoustic attenuation,diffraction and other acoustic effects,waveguide array imaging faces challenges with insufficient vertical resolution.In view of this problem,the sparse blind deconvolution algorithm is proposed to enhance the image quality of waveguide arrays.Finite element simulation is used to verify the effectiveness of the algorithm in detecting cracks with different angles while experiments are conducted to test and validate its performance.We find that the imaging effect of waveguide arrays is significantly influenced by the angle between the crack and ultrasonic propagation direction.When the crack direction aligns closely with the ultrasonic propagation direction,it becomes difficult to identify crack characteristics accurately.Employing the sparse blind deconvolution algorithm can improve imaging clarity,weaken the impact from diffraction effects at crack tips,enhance vertical resolution and improve the detection accuracy.

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