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Statements

Subject Item
n2:RIV%2F61388998%3A_____%2F11%3A00366791%21RIV12-AV0-61388998
rdf:type
n6:Vysledek skos:Concept
dcterms:description
Fracture is the primary threat to the integrity, safety, and performance of nearly all highly stressed mechanical structures, e.g., aircrafts, building units or pressure vessels. Contemporary exacting demands on reliability and safety of material structures are not realizable without effective means of NDT and continuous state monitoring. AE monitoring of structures needs new robust and fast methods for emission source location and classification. Recently proposed AE source location method using so-called signal arrival time profiles and artificial neural networks (ANN) was applied for monitoring of growing defects during long-term fatigue testing of riveted aircraft wing flange. The potentialities of the method regarding the on-line monitoring of dangerous crack growth in selected critical parts of aircraft structures are discussed. Fracture is the primary threat to the integrity, safety, and performance of nearly all highly stressed mechanical structures, e.g., aircrafts, building units or pressure vessels. Contemporary exacting demands on reliability and safety of material structures are not realizable without effective means of NDT and continuous state monitoring. AE monitoring of structures needs new robust and fast methods for emission source location and classification. Recently proposed AE source location method using so-called signal arrival time profiles and artificial neural networks (ANN) was applied for monitoring of growing defects during long-term fatigue testing of riveted aircraft wing flange. The potentialities of the method regarding the on-line monitoring of dangerous crack growth in selected critical parts of aircraft structures are discussed.
dcterms:title
Detection of AE Sources During Long-term Fatigue Tests of Riveted Aircraft Wing Flange Detection of AE Sources During Long-term Fatigue Tests of Riveted Aircraft Wing Flange
skos:prefLabel
Detection of AE Sources During Long-term Fatigue Tests of Riveted Aircraft Wing Flange Detection of AE Sources During Long-term Fatigue Tests of Riveted Aircraft Wing Flange
skos:notation
RIV/61388998:_____/11:00366791!RIV12-AV0-61388998
n6:predkladatel
n13:ico%3A61388998
n3:aktivita
n10:P n10:Z
n3:aktivity
P(FR-TI1/274), P(GAP104/10/1430), Z(AV0Z20760514)
n3:dodaniDat
n15:2012
n3:domaciTvurceVysledku
n8:6309011 n8:8402469
n3:druhVysledku
n4:D
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
193691
n3:idVysledku
RIV/61388998:_____/11:00366791
n3:jazykVysledku
n20:eng
n3:klicovaSlova
acoustic emission; source localization; neual networks; arrival time profiles
n3:klicoveSlovo
n7:source%20localization n7:neual%20networks n7:acoustic%20emission n7:arrival%20time%20profiles
n3:kontrolniKodProRIV
[F63D04372DDE]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Brno
n3:nazevZdroje
NDT in Progress 2011
n3:obor
n9:BI
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n11:FR-TI1%2F274 n11:GAP104%2F10%2F1430
n3:rokUplatneniVysledku
n15:2011
n3:tvurceVysledku
Chlada, Milan Převorovský, Zdeněk
n3:typAkce
n22:WRD
n3:zahajeniAkce
2011-10-10+02:00
n3:zamer
n18:AV0Z20760514
s:numberOfPages
6
n17:hasPublisher
Vysoké učení technické v Brně
n21:isbn
978-80-214-4339-6