Xicheng Feng , Kang Li , Jingmang Xu , Tao Liao , Jian Yang , Ping Wang , Jun Lai
{"title":"基于稀疏点阵模式波包分离算法的钢轨缺陷检测","authors":"Xicheng Feng , Kang Li , Jingmang Xu , Tao Liao , Jian Yang , Ping Wang , Jun Lai","doi":"10.1016/j.apacoust.2025.110901","DOIUrl":null,"url":null,"abstract":"<div><div>The number of guided wave modes in irregular and complex cross-sectional structures is so abundant that it is easy to fail to separate the wave packets of each mode and to detect the reflected echoes during damage detection. In order to meet the needs of non-destructive testing and structural health monitoring for single mode analysis, this paper innovatively proposes a wave packet separation algorithm based on a sparse point array, establishes a practical structural defect detection workflow, and realizes for the first time the accurate identification and localization of rail defects under a few received points. In this paper, the frequency response matrix of the wave packet is constructed by the propagation characteristics of the waveguide, and the mode separation formula based on the sparse point matrix is derived by combining the pseudo-inverse algorithm. At the same time, the selection rule of the single-point excitation point position is determined, and the accurate propagation characteristics of the waveguide structure are obtained by the two-dimensional Fourier transform, and an optimal receiving distance calculation method is proposed according to the principle of waveform information discrimination. The structural defect detection workflow based on mode wave packet separation is further formed, and the separation of each mode wave packet and the reflection wave packet is realized. Finally, in the case where all the receiving points are arranged in the rail web, the simulation realizes the localization of the defects in the rail head, rail web, and rail base, as well as the identification of the defect size and longitudinal position, and is verified by experiment.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"240 ","pages":"Article 110901"},"PeriodicalIF":3.4000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rail defect detection based on mode wave packet separation algorithm of sparse point array\",\"authors\":\"Xicheng Feng , Kang Li , Jingmang Xu , Tao Liao , Jian Yang , Ping Wang , Jun Lai\",\"doi\":\"10.1016/j.apacoust.2025.110901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The number of guided wave modes in irregular and complex cross-sectional structures is so abundant that it is easy to fail to separate the wave packets of each mode and to detect the reflected echoes during damage detection. In order to meet the needs of non-destructive testing and structural health monitoring for single mode analysis, this paper innovatively proposes a wave packet separation algorithm based on a sparse point array, establishes a practical structural defect detection workflow, and realizes for the first time the accurate identification and localization of rail defects under a few received points. In this paper, the frequency response matrix of the wave packet is constructed by the propagation characteristics of the waveguide, and the mode separation formula based on the sparse point matrix is derived by combining the pseudo-inverse algorithm. At the same time, the selection rule of the single-point excitation point position is determined, and the accurate propagation characteristics of the waveguide structure are obtained by the two-dimensional Fourier transform, and an optimal receiving distance calculation method is proposed according to the principle of waveform information discrimination. The structural defect detection workflow based on mode wave packet separation is further formed, and the separation of each mode wave packet and the reflection wave packet is realized. Finally, in the case where all the receiving points are arranged in the rail web, the simulation realizes the localization of the defects in the rail head, rail web, and rail base, as well as the identification of the defect size and longitudinal position, and is verified by experiment.</div></div>\",\"PeriodicalId\":55506,\"journal\":{\"name\":\"Applied Acoustics\",\"volume\":\"240 \",\"pages\":\"Article 110901\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-07-01\",\"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/S0003682X25003731\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Acoustics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003682X25003731","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}
Rail defect detection based on mode wave packet separation algorithm of sparse point array
The number of guided wave modes in irregular and complex cross-sectional structures is so abundant that it is easy to fail to separate the wave packets of each mode and to detect the reflected echoes during damage detection. In order to meet the needs of non-destructive testing and structural health monitoring for single mode analysis, this paper innovatively proposes a wave packet separation algorithm based on a sparse point array, establishes a practical structural defect detection workflow, and realizes for the first time the accurate identification and localization of rail defects under a few received points. In this paper, the frequency response matrix of the wave packet is constructed by the propagation characteristics of the waveguide, and the mode separation formula based on the sparse point matrix is derived by combining the pseudo-inverse algorithm. At the same time, the selection rule of the single-point excitation point position is determined, and the accurate propagation characteristics of the waveguide structure are obtained by the two-dimensional Fourier transform, and an optimal receiving distance calculation method is proposed according to the principle of waveform information discrimination. The structural defect detection workflow based on mode wave packet separation is further formed, and the separation of each mode wave packet and the reflection wave packet is realized. Finally, in the case where all the receiving points are arranged in the rail web, the simulation realizes the localization of the defects in the rail head, rail web, and rail base, as well as the identification of the defect size and longitudinal position, and is verified by experiment.
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.