Nondestructive evaluation of crack depth in concrete using PCA-compressed wave transmission function and neural networks

Cited 13 time in webofscience Cited 0 time in scopus
  • Hit : 572
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorShin, SWko
dc.contributor.authorYun, Chung Bangko
dc.contributor.authorFutura, Hko
dc.contributor.authorPopovics, JSko
dc.date.accessioned2008-09-16T05:29:09Z-
dc.date.available2008-09-16T05:29:09Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2008-04-
dc.identifier.citationEXPERIMENTAL MECHANICS, v.48, no.2, pp.225 - 231-
dc.identifier.issn0014-4851-
dc.identifier.urihttp://hdl.handle.net/10203/7353-
dc.description.abstractCracks in concrete are common defects that may enable rapid deterioration and failure of structures. Determination of a crack's depth using surface wave transmission measurement and the cut-off frequency in the transmission function (TRF) is difficult, in part due to variability of the measurement data. In this study, use of complete TRF data as features for crack depth assessment is proposed. A principal component analysis (PCA) is employed to generate a basis for the measured TRFs for various simulated crack (notch) cases in concrete. The measured TRFs are represented by their projections onto the most significant PCs. Then neural networks (NN), using the PCA-compressed TRFs, are applied to estimate the crack depth. An experimental study is carried out for five different artificial crack (notch) cases to investigate the effectiveness of the proposed method. Results reveal that the proposed method can effectively estimate the artificial crack depth in concrete structures, even with incomplete NN training.-
dc.description.sponsorshipThis work was supported by an engineering research center, Smart Infrastructure Technology Research Center, program of Korea Science and Engineering Foundation (Grant No. R11-2002-101-03001-0).en
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherSPRINGER-
dc.subjectPROPER ORTHOGONAL DECOMPOSITION-
dc.subjectSURFACE-OPENING CRACKS-
dc.subjectDAMAGE DETECTION-
dc.subjectSTRUCTURAL DAMAGE-
dc.subjectSTRESS WAVES-
dc.subjectSYSTEMS-
dc.titleNondestructive evaluation of crack depth in concrete using PCA-compressed wave transmission function and neural networks-
dc.typeArticle-
dc.identifier.wosid000254236200008-
dc.identifier.scopusid2-s2.0-78149306956-
dc.type.rimsART-
dc.citation.volume48-
dc.citation.issue2-
dc.citation.beginningpage225-
dc.citation.endingpage231-
dc.citation.publicationnameEXPERIMENTAL MECHANICS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorYun, Chung Bang-
dc.contributor.nonIdAuthorFutura, H-
dc.contributor.nonIdAuthorPopovics, JS-
dc.type.journalArticleArticle-
dc.subject.keywordAuthornondestructive evaluation of concrete-
dc.subject.keywordAuthorcrack depth-
dc.subject.keywordAuthorsurface wave transmission measurements-
dc.subject.keywordAuthorself-calibrating technique-
dc.subject.keywordAuthorprincipal component analysis-
dc.subject.keywordAuthorneural networks-
dc.subject.keywordPlusPROPER ORTHOGONAL DECOMPOSITION-
dc.subject.keywordPlusSURFACE-OPENING CRACKS-
dc.subject.keywordPlusDAMAGE DETECTION-
dc.subject.keywordPlusSTRUCTURAL DAMAGE-
dc.subject.keywordPlusSTRESS WAVES-
dc.subject.keywordPlusSYSTEMS-
Appears in Collection
CE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 13 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0