Research on MDOE Method of Wind Tunnel Test based on Genetic Algorithm Optimization
In order to improve the efficiency of wind tunnel test,modern design of experiment(MDOE)method are being used more and more frequently in wind tunnel test of various types of aircraft.However,although the number of test points is reduced theoretically,the wind tunnel test based on MDOE method effectively shortens the wind tunnel blowing time,but also brings the prob-lem of the accuracy of the test data.In this paper,a MDOE method based on D-optimal design cri-terion and binary polynomial response surface model was developed,and the genetic algorithm was introduced to improve the fitting precision of the response surface model.The results showed that the MDOE wind tunnel test method required only one factor at a time(OFAT)method of 30%,and the wind time was approximately reduced by 60% in the OFAT method,compared with the original pol-ynomial response surface model,the data that was used in the response surface of the genetic algo-rithm was more closer to the data obtained by the OFAT method.
D-optimalpolynomial response surface modelmodern design of experimentwind tunnel test
万方数据
维普
