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Structural Life and Reliability Metrics: Benchmarking and Verification of Probabilistic Life Prediction CodesOver the past two decades there has been considerable effort by NASA Glenn and others to develop probabilistic codes to predict with reasonable engineering certainty the life and reliability of critical components in rotating machinery and, more specifically, in the rotating sections of airbreathing and rocket engines. These codes have, to a very limited extent, been verified with relatively small bench rig type specimens under uniaxial loading. Because of the small and very narrow database the acceptance of these codes within the aerospace community has been limited. An alternate approach to generating statistically significant data under complex loading and environments simulating aircraft and rocket engine conditions is to obtain, catalog and statistically analyze actual field data. End users of the engines, such as commercial airlines and the military, record and store operational and maintenance information. This presentation describes a cooperative program between the NASA GRC, United Airlines, USAF Wright Laboratory, U.S. Army Research Laboratory and Australian Aeronautical & Maritime Research Laboratory to obtain and analyze these airline data for selected components such as blades, disks and combustors. These airline data will be used to benchmark and compare existing life prediction codes.
Document ID
20030001875
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
Litt, Jonathan S.
(Army Research Lab. Cleveland, OH United States)
Soditus, Sherry
(San Francisco International Airport San Francisco, CA United States)
Hendricks, Robert C.
(NASA Glenn Research Center Cleveland, OH United States)
Zaretsky, Erwin V.
(NASA Glenn Research Center Cleveland, OH United States)
Date Acquired
September 7, 2013
Publication Date
October 1, 2002
Publication Information
Publication: Fifth Annual Workshop on the Application of Probabilistic Methods for Gas Turbine Engines
Subject Category
Quality Assurance And Reliability
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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