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Automatic Risk Assessment Methodology for Gas Turbine Engines Employing Adaptive Recursive Triangulation

[+] Author Affiliations
Jonathan P. Moody, Harry R. Millwater

University of Texas at San Antonio, San Antonio, TX

Michael P. Enright

Southwest Research Institute, San Antonio, TX

Paper No. GT2007-27576, pp. 1123-1133; 11 pages
  • ASME Turbo Expo 2007: Power for Land, Sea, and Air
  • Volume 5: Turbo Expo 2007
  • Montreal, Canada, May 14–17, 2007
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4794-2 | eISBN: 0-7918-3796-3
  • Copyright © 2007 by ASME


A new automatic methodology for the risk assessment of gas turbine engine rotor disks subject to metallurgical defects is being investigated. This method has the promise of significantly reducing the amount of human time required to discretize the disk material into zones and to manually refine the zones to ensure convergence. The method is based on the concept of adaptive recursive triangulation which requires only limited initial defect locations from the analyst. Regions of refinement are selected based upon several criteria and various subdivision schemes are investigated. A numerical example using a rotor disk model is presented.

Copyright © 2007 by ASME



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