Block-wise superposition-based frequency-domain synthetic aperture focusing imaging of leaky Rayleigh waves

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2025-02-18 DOI:10.1016/j.apacoust.2025.110597

Hongwei Hu , Decao Yang , Duo Lyu , Xiaofei Luo , Xiaomin Chen

{"title":"Block-wise superposition-based frequency-domain synthetic aperture focusing imaging of leaky Rayleigh waves","authors":"Hongwei Hu , Decao Yang , Duo Lyu , Xiaofei Luo , Xiaomin Chen","doi":"10.1016/j.apacoust.2025.110597","DOIUrl":null,"url":null,"abstract":"<div><div>Leaky Rayleigh waves can be used to detect surface or sub-surface defects. The main advantage of this type of non-contact detection method is that it is easy to realize automatic inspections. However, due to the need for waveform conversion and propagation attenuation, the echo amplitudes of leaky Rayleigh waves are small, making them highly susceptible to noise, which is not conducive to defect detection and large-area imaging. A method that combines principal component analysis (PCA) with wavelet-based hidden Markov model (WHMM) algorithms is presented to denoise leaky Rayleigh waves. Subsequently, multiple sets of denoised B-scan data are then subjected to distance amplitude curve (DAC) attenuation compensation and frequency-domain synthetic aperture focusing technique (F-SAFT) for imaging. Finally, to achieve large-area imaging, F-SAFT processed data are superimposed and stitched together using a block-wise superposition method. Compared with B-scan data stitching imaging, the proposed method has a detection time of only 1/24 of that of B-scanning while reducing the average defect size error by 21.5 %, thus effectively improving the imaging efficiency and resolution for surface defect detection.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"233 ","pages":"Article 110597"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Acoustics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003682X25000696","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}

引用次数: 0

Abstract

Leaky Rayleigh waves can be used to detect surface or sub-surface defects. The main advantage of this type of non-contact detection method is that it is easy to realize automatic inspections. However, due to the need for waveform conversion and propagation attenuation, the echo amplitudes of leaky Rayleigh waves are small, making them highly susceptible to noise, which is not conducive to defect detection and large-area imaging. A method that combines principal component analysis (PCA) with wavelet-based hidden Markov model (WHMM) algorithms is presented to denoise leaky Rayleigh waves. Subsequently, multiple sets of denoised B-scan data are then subjected to distance amplitude curve (DAC) attenuation compensation and frequency-domain synthetic aperture focusing technique (F-SAFT) for imaging. Finally, to achieve large-area imaging, F-SAFT processed data are superimposed and stitched together using a block-wise superposition method. Compared with B-scan data stitching imaging, the proposed method has a detection time of only 1/24 of that of B-scanning while reducing the average defect size error by 21.5 %, thus effectively improving the imaging efficiency and resolution for surface defect detection.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.