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.
Constrained Optimization of a Rotor-Bearing System Based on an Evolutionary Algorithm
- Views Icon Views
- Share Icon Share
- Search Site
Wang, D, Li, W, Liu, Z, & Liu, Z. "Constrained Optimization of a Rotor-Bearing System Based on an Evolutionary Algorithm." Proceedings of the ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. Volume 7: Structures and Dynamics, Parts A and B. Copenhagen, Denmark. June 11–15, 2012. pp. 685-691. ASME. https://doi.org/10.1115/GT2012-69798
Download citation file: