Matches in SemOpenAlex for { <https://semopenalex.org/work/W2488987796> ?p ?o ?g. }
- W2488987796 endingPage "345" @default.
- W2488987796 startingPage "324" @default.
- W2488987796 abstract "A guided wave damage identification method using a model-based approach is proposed to identify multiple cracks in beam-like structures. The guided wave propagation is simulated using spectral finite element method and a crack element is proposed to take into account the mode conversion effect. The Bayesian model class selection algorithm is employed to determine the crack number and then the Bayesian statistical framework is used to identify the crack parameters and the associated uncertainties. In order to improve the efficiency and ensure the reliability of identification, the Transitional Markov Chain Monte Carlo (TMCMC) method is implemented in the Bayesian approach. A series of numerical case studies are carried out to assess the performance of the proposed method, in which the sensitivity of different guided wave modes and effect of different levels of measurement noise in identifying different numbers of cracks is studied in detail. The proposed method is also experimentally verified using guided wave data obtained from laser vibrometer. The results show that the proposed method is able to accurately identify the number, locations and sizes of the cracks, and also quantify the associated uncertainties. In addition the proposed method is robust under measurement noise and different situations of the cracks." @default.
- W2488987796 created "2016-08-23" @default.
- W2488987796 creator A5010399585 @default.
- W2488987796 creator A5066379225 @default.
- W2488987796 date "2017-02-01" @default.
- W2488987796 modified "2023-10-10" @default.
- W2488987796 title "Guided wave-based identification of multiple cracks in beams using a Bayesian approach" @default.
- W2488987796 cites W1859665057 @default.
- W2488987796 cites W1926026550 @default.
- W2488987796 cites W1967128993 @default.
- W2488987796 cites W1967841232 @default.
- W2488987796 cites W1970686328 @default.
- W2488987796 cites W1974571439 @default.
- W2488987796 cites W1985678914 @default.
- W2488987796 cites W1992606739 @default.
- W2488987796 cites W1993221720 @default.
- W2488987796 cites W1996234076 @default.
- W2488987796 cites W1996576849 @default.
- W2488987796 cites W2000570605 @default.
- W2488987796 cites W2000949192 @default.
- W2488987796 cites W2003732947 @default.
- W2488987796 cites W2003769607 @default.
- W2488987796 cites W2004922099 @default.
- W2488987796 cites W2010474852 @default.
- W2488987796 cites W2010717098 @default.
- W2488987796 cites W2018231878 @default.
- W2488987796 cites W2025480762 @default.
- W2488987796 cites W2027456229 @default.
- W2488987796 cites W2032787850 @default.
- W2488987796 cites W2038419807 @default.
- W2488987796 cites W2039502902 @default.
- W2488987796 cites W2044691915 @default.
- W2488987796 cites W2047352485 @default.
- W2488987796 cites W2048525500 @default.
- W2488987796 cites W2049817248 @default.
- W2488987796 cites W2052003145 @default.
- W2488987796 cites W2062258832 @default.
- W2488987796 cites W2077158886 @default.
- W2488987796 cites W2079968941 @default.
- W2488987796 cites W2087127648 @default.
- W2488987796 cites W2087752560 @default.
- W2488987796 cites W2088332237 @default.
- W2488987796 cites W2097311910 @default.
- W2488987796 cites W2102144333 @default.
- W2488987796 cites W2110697993 @default.
- W2488987796 cites W2116689067 @default.
- W2488987796 cites W2127165121 @default.
- W2488987796 cites W2129177063 @default.
- W2488987796 cites W2138291282 @default.
- W2488987796 cites W2166426379 @default.
- W2488987796 cites W2166670624 @default.
- W2488987796 cites W4300197962 @default.
- W2488987796 cites W580387462 @default.
- W2488987796 doi "https://doi.org/10.1016/j.ymssp.2016.07.013" @default.
- W2488987796 hasPublicationYear "2017" @default.
- W2488987796 type Work @default.
- W2488987796 sameAs 2488987796 @default.
- W2488987796 citedByCount "65" @default.
- W2488987796 countsByYear W24889877962016 @default.
- W2488987796 countsByYear W24889877962017 @default.
- W2488987796 countsByYear W24889877962018 @default.
- W2488987796 countsByYear W24889877962019 @default.
- W2488987796 countsByYear W24889877962020 @default.
- W2488987796 countsByYear W24889877962021 @default.
- W2488987796 countsByYear W24889877962022 @default.
- W2488987796 countsByYear W24889877962023 @default.
- W2488987796 crossrefType "journal-article" @default.
- W2488987796 hasAuthorship W2488987796A5010399585 @default.
- W2488987796 hasAuthorship W2488987796A5066379225 @default.
- W2488987796 hasBestOaLocation W24889877962 @default.
- W2488987796 hasConcept C105795698 @default.
- W2488987796 hasConcept C107673813 @default.
- W2488987796 hasConcept C111350023 @default.
- W2488987796 hasConcept C11413529 @default.
- W2488987796 hasConcept C115961682 @default.
- W2488987796 hasConcept C116834253 @default.
- W2488987796 hasConcept C127413603 @default.
- W2488987796 hasConcept C135628077 @default.
- W2488987796 hasConcept C154945302 @default.
- W2488987796 hasConcept C192562407 @default.
- W2488987796 hasConcept C19499675 @default.
- W2488987796 hasConcept C21200559 @default.
- W2488987796 hasConcept C24326235 @default.
- W2488987796 hasConcept C33923547 @default.
- W2488987796 hasConcept C41008148 @default.
- W2488987796 hasConcept C49040817 @default.
- W2488987796 hasConcept C59822182 @default.
- W2488987796 hasConcept C6260449 @default.
- W2488987796 hasConcept C66938386 @default.
- W2488987796 hasConcept C86803240 @default.
- W2488987796 hasConcept C927094 @default.
- W2488987796 hasConcept C96199931 @default.
- W2488987796 hasConcept C99498987 @default.
- W2488987796 hasConceptScore W2488987796C105795698 @default.
- W2488987796 hasConceptScore W2488987796C107673813 @default.
- W2488987796 hasConceptScore W2488987796C111350023 @default.
- W2488987796 hasConceptScore W2488987796C11413529 @default.
- W2488987796 hasConceptScore W2488987796C115961682 @default.