Bi-objective path optimization of flapping airfoils based on a surrogate model  被引量:1

Bi-objective path optimization of flapping airfoils based on a surrogate model

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作  者:赵良玉 徐勇 徐来斌 杨树兴 

机构地区:[1]School of Aerospace Engineering Beijing Institute of Technology

出  处:《Journal of Beijing Institute of Technology》2011年第2期143-151,共9页北京理工大学学报(英文版)

基  金:Supported by the National Science Foundation for Post-doctoral Scientists of China (20090460216 );the National Defense Fundamental Research Foundation of China(B222006060)

摘  要:A bi-objective optimization problem for flapping airfoils is solved to maximize the time-averaged thrust coefficient and the propulsive efficiency. Design variables include the plunging amplitude, the pitching amplitude and the phase shift angle. A well defined Kriging model is used to substitute the time-consuming high fidelity model, and a multi-objective genetic algorithm is employed as the search algorithm. The optimization results show that the propulsive efficiency can be improved by reducing the plunging amplitude and the phase shift angle in a proper way. The results of global sensitivity analysis using the Sobol’s method show that both of the time-averaged thrust coefficient and the propulsive efficiency are most sensitive to the plunging amplitude, and second most sensitive to the pitching amplitude. It is also observed that the phase shift angle has an un-negligible influence on the propulsive efficiency, and has little effect on the time-averaged thrust coefficient.A bi-objective optimization problem for flapping airfoils is solved to maximize the time-averaged thrust coefficient and the propulsive efficiency. Design variables include the plunging amplitude, the pitching amplitude and the phase shift angle. A well defined Kriging model is used to substitute the time-consuming high fidelity model, and a multi-objective genetic algorithm is employed as the search algorithm. The optimization results show that the propulsive efficiency can be improved by reducing the plunging amplitude and the phase shift angle in a proper way. The results of global sensitivity analysis using the Sobol’s method show that both of the time-averaged thrust coefficient and the propulsive efficiency are most sensitive to the plunging amplitude, and second most sensitive to the pitching amplitude. It is also observed that the phase shift angle has an un-negligible influence on the propulsive efficiency, and has little effect on the time-averaged thrust coefficient.

关 键 词:path optimization flapping airfoils Kriging model global sensitivity analysis genetic algorithm 

分 类 号:V211.41[航空宇航科学与技术—航空宇航推进理论与工程]

 

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