DC Field | Value | Language |
---|---|---|
dc.contributor.author | Na, S. | ko |
dc.contributor.author | Lee, Haeng-Ki | ko |
dc.date.accessioned | 2014-08-26T07:35:13Z | - |
dc.date.available | 2014-08-26T07:35:13Z | - |
dc.date.created | 2013-11-05 | - |
dc.date.created | 2013-11-05 | - |
dc.date.created | 2013-11-05 | - |
dc.date.issued | 2013-11 | - |
dc.identifier.citation | COMPOSITES SCIENCE AND TECHNOLOGY, v.88, pp.62 - 68 | - |
dc.identifier.issn | 0266-3538 | - |
dc.identifier.uri | http://hdl.handle.net/10203/187038 | - |
dc.description.abstract | Nowadays, breakthrough composite technologies are intensifying the complexity of structural components every day and assuring the structural integrity is becoming more essential, thus creating challenges for developing a cost effective and reliable non-destructive evaluation (NDE) technique. As conventional NDE techniques usually require expensive equipments, trained experts and out-of-service period, such techniques may be inadequate for autonomous online health monitoring of structures. In this study, a relatively new technique known as electromechanical impedance (EMI) technique is combined with a neural network technique to predict the damaged areas on a composite plate. Regardless of the advantages such as low cost, robustness, simplicity and online possibilities, this technique still has various problems to be solved. For one, locating a damaged area can be extremely difficult as this non-model based technique heavily relies on the variations in the impedance signatures. The results show that the non-homogenous property is an advantage for the study, successfully identifying the damage location for the prepared test specimen with an acceptable performance. (C) 2013 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Neural network approach for damaged area location prediction of a composite plate using electromechanical impedance technique | - |
dc.type | Article | - |
dc.identifier.wosid | 000326913500009 | - |
dc.identifier.scopusid | 2-s2.0-84884544549 | - |
dc.type.rims | ART | - |
dc.citation.volume | 88 | - |
dc.citation.beginningpage | 62 | - |
dc.citation.endingpage | 68 | - |
dc.citation.publicationname | COMPOSITES SCIENCE AND TECHNOLOGY | - |
dc.identifier.doi | 10.1016/j.compscitech.2013.08.019 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Haeng-Ki | - |
dc.contributor.nonIdAuthor | Na, S. | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Smart materials | - |
dc.subject.keywordAuthor | Glass fibers | - |
dc.subject.keywordAuthor | Probabilistic methods | - |
dc.subject.keywordAuthor | Non-destructive testing | - |
dc.subject.keywordAuthor | Ultrasonics | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | ACTUATOR | - |
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