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Probabilistic prognosis of fatigue crack growth for asphalt concretes

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dc.contributor.authorLee, Seung-Jung-
dc.contributor.authorZi, Goangseup-
dc.contributor.authorMun, Sungho-
dc.contributor.authorKong, Jung Sik-
dc.contributor.authorChoi, Joo-Ho-
dc.date.accessioned2021-09-04T15:53:33Z-
dc.date.available2021-09-04T15:53:33Z-
dc.date.created2021-06-16-
dc.date.issued2015-06-
dc.identifier.issn0013-7944-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/93482-
dc.description.abstractA probabilistic approach is presented for the prognosis of fatigue crack growth for asphalt concretes using the particle filtering method based on Bayesian theory. The random response of fatigue behavior is successively updated with the accumulation of the measured data by the particle filtering method. During the updating, particles with high probability are reproduced more, while others are eliminated via resampling procedures. The J integral is adopted for the fatigue crack growth to take into account the viscoelastic characteristics of asphalt concretes. The prognosis of fatigue crack growth and remaining service life under different conditions is presented using this method. (C) 2015 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectPARIS LAW-
dc.subjectPARTICLE FILTERS-
dc.subjectPARAMETER-C-
dc.subjectBOX-GIRDER-
dc.subjectPREDICTION-
dc.subjectMODEL-
dc.subjectLIFE-
dc.subjectEQUATION-
dc.subjectFRACTURE-
dc.subjectSTATE-
dc.titleProbabilistic prognosis of fatigue crack growth for asphalt concretes-
dc.typeArticle-
dc.contributor.affiliatedAuthorZi, Goangseup-
dc.contributor.affiliatedAuthorKong, Jung Sik-
dc.identifier.doi10.1016/j.engfracmech.2015.04.033-
dc.identifier.scopusid2-s2.0-84930663875-
dc.identifier.wosid000356239300014-
dc.identifier.bibliographicCitationENGINEERING FRACTURE MECHANICS, v.141, pp.212 - 229-
dc.relation.isPartOfENGINEERING FRACTURE MECHANICS-
dc.citation.titleENGINEERING FRACTURE MECHANICS-
dc.citation.volume141-
dc.citation.startPage212-
dc.citation.endPage229-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMechanics-
dc.relation.journalWebOfScienceCategoryMechanics-
dc.subject.keywordPlusPARIS LAW-
dc.subject.keywordPlusPARTICLE FILTERS-
dc.subject.keywordPlusPARAMETER-C-
dc.subject.keywordPlusBOX-GIRDER-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusMODEL-
dc.subject.keywordPlusLIFE-
dc.subject.keywordPlusEQUATION-
dc.subject.keywordPlusFRACTURE-
dc.subject.keywordPlusSTATE-
dc.subject.keywordAuthorAsphalt concrete-
dc.subject.keywordAuthorParticle filtering-
dc.subject.keywordAuthorPrognosis-
dc.subject.keywordAuthorBayesian theory-
dc.subject.keywordAuthorFatigue-
dc.subject.keywordAuthorJ integral-
dc.subject.keywordAuthorCrack growth-
dc.subject.keywordAuthorRemaining service life-
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공과대학 (건축사회환경공학부)
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