Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm
Detection and quantitative estimation of deep defects in multi-layered structures is an essential task in a range of technological applications, such as maintaining the integrity of structures, enhancing the safety of aging aircraft, and assuring the quality of products. A novel approach to accurate...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2014-04-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | http://www.gruppofrattura.it/pdf/rivista/numero28/numero_28_art_4.pdf |
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| _version_ | 1832568709356453888 |
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| author | Bo Ye Ming Li Gefei Qiu Jun Dong Fang Zeng Tanghua Yang Biao Bai |
| author_facet | Bo Ye Ming Li Gefei Qiu Jun Dong Fang Zeng Tanghua Yang Biao Bai |
| author_sort | Bo Ye |
| collection | DOAJ |
| description | Detection and quantitative estimation of deep defects in multi-layered structures is an essential task in a range of technological applications, such as maintaining the integrity of structures, enhancing the safety of aging aircraft, and assuring the quality of products. A novel approach to accurately quantify the two-dimensional axisymmetric deep defect size from eddy current nondestructive testing (NDT) signals is presented here. The method uses a finite element forward model to simulate the underlying physical process and an improved ant colony algorithm (IACA) to solve the inverse problem. Experiments are carried out. The performance comparison between the IACA method and the least square method is shown. The comparison results demonstrate the feasibility and validity of the IACA method. Between them, the IACA method gives a better estimation performance than the least square method at present. |
| format | Article |
| id | doaj-art-6486ee34f6e74a0d931b424a5ba320aa |
| institution | Kabale University |
| issn | 1971-8993 1971-8993 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-6486ee34f6e74a0d931b424a5ba320aa2025-02-03T00:44:34ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89931971-89932014-04-01828324110.3221/IGF-ESIS.28.04Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithmBo Ye0Ming Li1Gefei Qiu2Jun Dong3Fang Zeng4Tanghua Yang5Biao Bai6Faculty of Electric Power Engineering, Kunming University of Science and TechnologyFaculty of Electric Power Engineering, Kunming University of Science and TechnologyFaculty of Electric Power Engineering, Kunming University of Science and TechnologyFaculty of Electric Power Engineering, Kunming University of Science and TechnologyFaculty of Electric Power Engineering, Kunming University of Science and TechnologyPuer power supply bureau, Yunnan Power Grid Corporation Puer power supply bureau, Yunnan Power Grid Corporation Detection and quantitative estimation of deep defects in multi-layered structures is an essential task in a range of technological applications, such as maintaining the integrity of structures, enhancing the safety of aging aircraft, and assuring the quality of products. A novel approach to accurately quantify the two-dimensional axisymmetric deep defect size from eddy current nondestructive testing (NDT) signals is presented here. The method uses a finite element forward model to simulate the underlying physical process and an improved ant colony algorithm (IACA) to solve the inverse problem. Experiments are carried out. The performance comparison between the IACA method and the least square method is shown. The comparison results demonstrate the feasibility and validity of the IACA method. Between them, the IACA method gives a better estimation performance than the least square method at present.http://www.gruppofrattura.it/pdf/rivista/numero28/numero_28_art_4.pdfEddy current nondestructive testingFinite element methodAnt colony algorithmMulti-layered structures |
| spellingShingle | Bo Ye Ming Li Gefei Qiu Jun Dong Fang Zeng Tanghua Yang Biao Bai Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm Fracture and Structural Integrity Eddy current nondestructive testing Finite element method Ant colony algorithm Multi-layered structures |
| title | Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm |
| title_full | Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm |
| title_fullStr | Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm |
| title_full_unstemmed | Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm |
| title_short | Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm |
| title_sort | quantitative estimating size of deep defects in multi layered structures from eddy current ndt signals using improved ant colony algorithm |
| topic | Eddy current nondestructive testing Finite element method Ant colony algorithm Multi-layered structures |
| url | http://www.gruppofrattura.it/pdf/rivista/numero28/numero_28_art_4.pdf |
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