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Probabilistic Analyses of Industrial Gas Turbine Durability PUBLIC ACCESS

[+] Author Affiliations
R. Craig McClung, Henry L. Bernstein, Janet P. Buckingham

Southwest Research Institute, San Antonio, TX

James M. Allen

Consulting Engineer, Cupertino, CA

George L. Touchton

Electric Power Research Institute, Palo Alto, CA

Paper No. 93-GT-427, pp. V03CT17A088; 9 pages
doi:10.1115/93-GT-427
From:
  • ASME 1993 International Gas Turbine and Aeroengine Congress and Exposition
  • Volume 3C: General
  • Cincinnati, Ohio, USA, May 24–27, 1993
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7892-7
  • Copyright © 1993 by ASME

abstract

Probabilistic analyses of component durability have been developed for first stage buckets and nozzles in General Electric MS7001B and MS7001E industrial gas turbine engines. The analyses illustrate two different approaches to the development of probabilistic durability algorithms. The bucket algorithm is built around an existing thermal-mechanical fatigue life model which predicts average fatigue life as a function of local strains, dwell times, and constants in the fatigue model derived from laboratory testing. The fatigue model is linked to a fast probability integration method which calculates the uncertainty or variability in the response variable (life or damage) resulting from uncertainties or variabilities in the physical input variables. The nozzle cracking algorithm, in contrast, is built around a large data base of crack length sums for each vane on seven different nozzles from the field. The crack length sums on nozzles with similar numbers of fired starts were described with standard normal distributions. Extreme value distributions were then calculated analytically to describe the crack length sums on the single most heavily cracked vane per nozzle for different probability levels.

Copyright © 1993 by ASME
This article is only available in the PDF format.

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