Delamination identification of CFRP structure using discriminant analysis via the support vector machine
This paper is about damage diagnosis using discriminant analysis via the support vector machine(SVM). For evaluation of reliability of the structure, condition of the structure is divided to several condition levels by the threshold in many cases. At these cases, identification of the damage as the...
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2014-02-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/80/810/80_2014smm0020/_pdf/-char/en |
| _version_ | 1811180254444650496 |
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| author | Atsushi IWASAKI |
| author_facet | Atsushi IWASAKI |
| author_sort | Atsushi IWASAKI |
| collection | DOAJ |
| description | This paper is about damage diagnosis using discriminant analysis via the support vector machine(SVM). For evaluation of reliability of the structure, condition of the structure is divided to several condition levels by the threshold in many cases. At these cases, identification of the damage as the discriminant levels is sufficient for the damage identification model. This paper is focused on the improvement of the identification accuracy of damage identification using discriminant analysis. SVM is one of linear learning machine which conduct 2 groups discrimination which used for discriminant analysis and pattern recognition. SVM is enable to use for the analysis which the boundary of the groups has nonlinear relation. About the damage identification, measurement data is affected by location and stage of the damage and simple linear discrimination is difficult to adopt as the method. In this paper, SVM is applied to identification of a delamination cracks in CFRP beams using the electric resistance change method. The effectiveness of this method is investigated from FEM model of electric resistance change due to the growth of the delamination crack. As a result, with weighted method for avoiding the risk side evaluation, the risk side evaluation which cause degradation of the reliability of structure was reduced. |
| first_indexed | 2024-04-11T06:48:16Z |
| format | Article |
| id | doaj.art-b613357529154afcb555c8dde98db127 |
| institution | Directory Open Access Journal |
| issn | 2187-9761 |
| language | Japanese |
| last_indexed | 2024-04-11T06:48:16Z |
| publishDate | 2014-02-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Nihon Kikai Gakkai ronbunshu |
| spelling | doaj.art-b613357529154afcb555c8dde98db1272022-12-22T04:39:18ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612014-02-0180810SMM0020SMM002010.1299/transjsme.2014smm0020transjsmeDelamination identification of CFRP structure using discriminant analysis via the support vector machineAtsushi IWASAKI0Gunma Univ, Division of Mechanical Science and TechnologyThis paper is about damage diagnosis using discriminant analysis via the support vector machine(SVM). For evaluation of reliability of the structure, condition of the structure is divided to several condition levels by the threshold in many cases. At these cases, identification of the damage as the discriminant levels is sufficient for the damage identification model. This paper is focused on the improvement of the identification accuracy of damage identification using discriminant analysis. SVM is one of linear learning machine which conduct 2 groups discrimination which used for discriminant analysis and pattern recognition. SVM is enable to use for the analysis which the boundary of the groups has nonlinear relation. About the damage identification, measurement data is affected by location and stage of the damage and simple linear discrimination is difficult to adopt as the method. In this paper, SVM is applied to identification of a delamination cracks in CFRP beams using the electric resistance change method. The effectiveness of this method is investigated from FEM model of electric resistance change due to the growth of the delamination crack. As a result, with weighted method for avoiding the risk side evaluation, the risk side evaluation which cause degradation of the reliability of structure was reduced.https://www.jstage.jst.go.jp/article/transjsme/80/810/80_2014smm0020/_pdf/-char/ensupport vector machinestructural reliabilitynondestructive inspectionstatistical treatmentdamage identificationcomposite materialdelamination |
| spellingShingle | Atsushi IWASAKI Delamination identification of CFRP structure using discriminant analysis via the support vector machine Nihon Kikai Gakkai ronbunshu support vector machine structural reliability nondestructive inspection statistical treatment damage identification composite material delamination |
| title | Delamination identification of CFRP structure using discriminant analysis via the support vector machine |
| title_full | Delamination identification of CFRP structure using discriminant analysis via the support vector machine |
| title_fullStr | Delamination identification of CFRP structure using discriminant analysis via the support vector machine |
| title_full_unstemmed | Delamination identification of CFRP structure using discriminant analysis via the support vector machine |
| title_short | Delamination identification of CFRP structure using discriminant analysis via the support vector machine |
| title_sort | delamination identification of cfrp structure using discriminant analysis via the support vector machine |
| topic | support vector machine structural reliability nondestructive inspection statistical treatment damage identification composite material delamination |
| url | https://www.jstage.jst.go.jp/article/transjsme/80/810/80_2014smm0020/_pdf/-char/en |
| work_keys_str_mv | AT atsushiiwasaki delaminationidentificationofcfrpstructureusingdiscriminantanalysisviathesupportvectormachine |