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ToolsQian, Zhi, Li, Peng, Qian, Zhenghua, Wu, Xianwei, Liu, Dianzi and Kuznetsova, Iren E. (2023) A systematic tomography framework for thickness mapping of pipes using helical guided waves. Smart Materials and Structures, 32 (11). ISSN 0964-1726
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Abstract
Pipe wall loss caused by corrosion is of growing interest in the petrochemical industry. A systematic tomography framework using helical guided waves is developed in this paper to conduct a thickness mapping. In this work, the thickness under investigation is reconstructed using an objective function derived from the acoustic Helmholtz equation. The main approach consists of two parts. Firstly, the parametric dictionary is designed to separate the overlapped guided waves travelling in helical paths. After that, the scattering field can be extracted as the input of the distorted born iteration method. The imaging result is exemplified numerically and experimentally, with the strengths and drawbacks explained thoroughly. Remarkably, the thickness error of the simple defect is still within 0.5 mm when the input data is poor. A clear qualitative description of complex defects can be achieved through iterations even in the absence of an initial objective function. The framework established in this paper contributes a comprehensive imaging algorithm and the corresponding signal processing approach, all of which are conducive to providing some reference for engineering applications in nondestructive testing and structural health monitoring.
| Item Type: | Article |
|---|---|
| Additional Information: | During the embargo period (the 12 month period from the publication of the Version of Record of this article), the Accepted Manuscript is fully protected by copyright and cannot be reused or reposted elsewhere. As the Version of Record of this article is going to be / has been published on a subscription basis, this Accepted Manuscript will be available for reuse under a CC BY-NC-ND 3.0 licence after the 12 month embargo period. After the embargo period, everyone is permitted to use copy and redistribute this article for non-commercial purposes only, provided that they adhere to all the terms of the licence https://creativecommons.org/licences/by-nc-nd/3.0 Funding Information: The authors gratefully acknowledge the support of the Natural Science Foundation of China (12061131013, 12172171, 11972276, and 12211530064), National Key Research & Development Program of China (2023YFE0111000), the State Key Laboratory of Mechanics and Control of Mechanical Structures at NUAA (No. MCMS-I-0522G01), National Natural Science Foundation of Jiangsu Province (BK20211176), Jiangsu High-Level Innovative and Entrepreneurial Talents Introduction Plan (Shuangchuang Doctor Program, JSSCBS20210166), the Fundamental Research Funds for the Central Universities (NS2022011), and a project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). Professor Iren E Kuznetsova thanks Russian Ministry of Science and Higher Education (government task FFWZ-2022-0002) for partial financial support. |
| Uncontrolled Keywords: | dictionary reconstruction,helical guided waves,pipe wall,thickness mapping,signal processing,civil and structural engineering,atomic and molecular physics, and optics,materials science(all),condensed matter physics,mechanics of materials,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1700/1711 |
| Faculty \ School: | Faculty of Science > School of Engineering (former - to 2024) |
| UEA Research Groups: | Faculty of Science > Research Groups > Sustainable Energy Faculty of Science > Research Groups > Materials, Manufacturing & Process Modelling |
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| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Oct 2023 01:24 |
| Last Modified: | 07 Nov 2024 12:47 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/93157 |
| DOI: | 10.1088/1361-665X/ad00f3 |
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