Over 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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Structural Life and Reliability Metrics: Benchmarking and Verification of Probabilistic Life Prediction Codes


    Contributors:


    Publication date :

    2002-10-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English





    Prognostics-Based Probabilistic Fatigue Life Prediction

    Enright, Michael / Hudak, Steve / McClung, Craig et al. | AIAA | 2003


    Prognostics-Based Probabilistic Fatigue Life Prediction

    Enright, M. / Hudak, S. / McClung, C. et al. | British Library Conference Proceedings | 2003


    Probabilistic fatigue life prediction using Subset Simulation

    Li, Hongshuang / Xiang, Yibing / Liu, Yongming | AIAA | 2012


    Probabilistic Fatigue Life Prediction Using Subset Simulation

    Li, H. / Xiang, Y. / Liu, Y. et al. | British Library Conference Proceedings | 2012