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Constrained Optimization of a Rotor-Bearing System Based on an Evolutionary Algorithm

[+] Author Affiliations
Donghua Wang, Wanyou Li, Zhigang Liu

Harbin Engineering University, Harbin, Heilongjiang, China

Zhansheng Liu

Harbin Institute of Technology, Harbin, Heilongjiang, China

Paper No. GT2012-69798, pp. 685-691; 7 pages
  • ASME Turbo Expo 2012: Turbine Technical Conference and Exposition
  • Volume 7: Structures and Dynamics, Parts A and B
  • Copenhagen, Denmark, June 11–15, 2012
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4473-1
  • Copyright © 2012 by ASME


How to modify a rotor system configuration to adjust some critical speeds distribution for safety and achieve the least change of system configuration at the same time, is a focus in the rotordynamics field. An existing method is introduced and its disadvantages are analyzed. To overcome these difficulties smoothly, a more robust mathematical model for optimal design of critical speeds distribution is presented, with more constraints considered. And a Population-based Evolutionary Algorithm with Elite Strategy (PEAES) is developed to solve the proposed optimization model. The results of study on a rotor system in different cases show that the proposed method can find the optimal solution and may be applicable in the practical design process of rotor systems.

Copyright © 2012 by ASME



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