Gas Turbine Engines Safe Life Criterion Analysis

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Life concepts have evolved and improved since the early period of the gas turbine engine. Early on, passing a 150-h test was the main "pass or fail" criteria used to qualify a new engine design to enter production and service. Engine life development and life prediction techniques evolved mostly in response to durability problems, customer demands, and/or regulatory involvement. The safe life and damage tolerance concepts have been the two most widely used design methods for producing components to meet life requirements. More recently, however, the combination of both life concepts is the preferred life method for both commercial and military and is required by the military in their engine structural development programs.

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346-349

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] K Charles Wang, Kenneth W Iliff. Retrospective and recent examples of aircraft parameter identification at NASA Dryden Flight Research Center[J]. Journal of Aircraft (S0021-8669), 2004, 41(4): 752-763.

DOI: 10.2514/1.332

Google Scholar

[2] Eugene A Morelli, Vladislav Klein. Application of system identification to aircraft at NASA Langley Research Center[J]. Journal of Aircraft(S0021-8669), 2005, 42(1): 12-22.

DOI: 10.2514/1.3648

Google Scholar

[3] Ravindra Jategaonkar, Dietrich Fischenberg. Aerodynamic modeling and system identification from flight data-recent applications at DLR [J]. Journal of Aircraft (S0021-8669), 2004, 41(4): 681-690.

DOI: 10.2514/1.3165

Google Scholar

[4] Roskam J. Airplane Design: PartⅡ, Preliminary Configuration Design and Integration of the Propulsion System [M]. Kansas: Roskam Aviation and Engineering Corporation, (1985).

Google Scholar

[5] Daniel P. Raymer. Aircraft Design: A Conceptual Approach [A]. AIAA, (1999).

Google Scholar

[6] P Park J, Halevi Y, Rizzoni G. A new interpretation of the fault detection filter, Part 2: The optimal detection filter [J]. International Journal of Control, 1994, 60(6): 1 339-1 351.

DOI: 10.1080/00207179408921525

Google Scholar