Original title:
Detection of AE Sources During Long-term Fatigue Tests of Riveted Aircraft Wing Flange
Authors:
Chlada, Milan ; Převorovský, Zdeněk Document type: Papers Conference/Event: NDT in PROGRESS /6./, Praha (CZ), 2011-10-10 / 2011-10-12
Year:
2011
Language:
eng Abstract:
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.
Keywords:
acoustic emission; arrival time profiles; neual networks; source localization Project no.: CEZ:AV0Z20760514 (CEP), GAP104/10/1430 (CEP), FR-TI1/274 (CEP) Funding provider: GA ČR, GA MPO Host item entry: NDT in Progress 2011, ISBN 978-80-214-4339-6
Institution: Institute of Thermomechanics AS ČR
(web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0201656