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Probabilistic Fracture Mechanics for Heavy Duty Gas Turbine Rotor Forgings

[+] Author Affiliations
Kai Kadau

Siemens Energy, Inc., Charlotte, NC

Phillip W. Gravett

Siemens Energy, Inc., Orlando, FL

Christian Amann

Siemens AG, Mülheim an der Ruhr, Germany

Paper No. GT2017-64811, pp. V07AT32A005; 8 pages
doi:10.1115/GT2017-64811
From:
  • ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition
  • Volume 7A: Structures and Dynamics
  • Charlotte, North Carolina, USA, June 26–30, 2017
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-5092-3
  • Copyright © 2017 by Siemens Energy, Inc.

abstract

We developed and successfully applied a direct simulation Monte-Carlo scheme to quantify the risk of fracture for heavy duty rotors commonly used in the energy sector. The developed Probabilistic Fracture Mechanics high-performance computing methodology and code ProbFM routinely assesses relevant modes of operation for a component by performing billions of individual fracture mechanics simulations. The methodology can be used for new design and life-optimization of components, as well as for the risk of failure quantification of in service rotors and their re-qualifications in conjunction with non-destructive examination techniques, such as ultrasonic testing. The developed probabilistic scheme integrates material data, ultra-sonic testing information, duty-cycle data, and finite element analysis in order to determine the risk of failure. The methodology provides an integrative and robust measure of the fitness for service and allows for a save and reliable operation management of heavy duty rotating equipment.

Copyright © 2017 by Siemens Energy, Inc.

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