Based on mistuned blades parameters obtained by modal experiment
a lumped parameter model of mistuned bladed disk system was established considering the non-linear friction damping. Blade arrangement optimization method using simulated annealing evolutionary algorithm additional tabu list was proposed by combining the local search ability of simulated annealing algorithm and global searching ability of genetic algorithm. At the same time
a parallel algorithm was designed based on the computation unified device architecture (CUDA)in combination with graphic processing unit. The results show that based on parallel framework optimization
the acceleration of 4.5 times can be obtained. Meanwhile bladed disk system vibration response of the largest amplitude and variance can be significantly reduced when using optimized arrangement.
Identification of flexible nozzle torque properties based on wavelet neural network optimized by genetic algorithm
Rapid prediction method of compressor characteristics with coupling direct and inverse problems
Calculation method of fuel temperature conforming to requirements of airworthiness certification
Airfoil optimization design based on Gaussian process regression and genetic algorithm
Fault diagnosis method of inter-shaft bearing based on adaptive bistable stochastic resonance
Related Author
Hongcheng YANG
Shan LIU
Guangzai JIN
Weiwei JIAO
Yufeng JIANG
Zhaoyun SONG
Baotong WANG
Tengbo FAN
Related Institution
Laboratory of Aerospace Servo Actuation and Transmission,Beijing Institute of Precision Mechatronics and Controls
Institute for Aero Engine,Tsinghua University
State Key Laboratory of Automotive Safety and Energy,Tsinghua University
Sichuan Gas Turbine Establishment,Aero Engine Corporation of China
Key Laboratory of Aircraft Environmental Control and Life Support of Ministry of Industry and Information Technology,College of Aerospace Engineering,Nanjing University of Aeronautics and Astronautics