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Quantification of Uncertainty Related to Stress Estimation in Turbine Engine Blades

[+] Author Affiliations
Giorgio Calanni, Vitali Volovoi, Massimo Ruzzene

Georgia Institute of Technology, Atlanta, GA

Peter Cento, Charlie Vining

Arnold Engineering Development Center, Arnold AFB, TN

Paper No. GT2006-90585, pp. 681-690; 10 pages
  • ASME Turbo Expo 2006: Power for Land, Sea, and Air
  • Volume 5: Marine; Microturbines and Small Turbomachinery; Oil and Gas Applications; Structures and Dynamics, Parts A and B
  • Barcelona, Spain, May 8–11, 2006
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4240-1 | eISBN: 0-7918-3774-2


Stress prediction in turbine blades is affected by limitations in the measurement setup as well as by various sources of uncertainty in the model-based inference techniques. The presence of uncertainty diminishes the confidence in the estimated response, whose fidelity lowers further when results are extrapolated to operating conditions or systems other than the tested ones. A procedure is being developed with a twofold objective: maximization, under given computational constraints, of a system’s model accuracy and quantification of any remaining uncertainty associated with the estimation technique. A probabilistic analysis, in which uncertainties are explicitly modeled has been carried out to investigate the effects of modeling and input parameter uncertainties, and to evaluate their contribution to a system’s vibratory response prediction. Results and considerations are herein described and discussed.



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