Research on microphone phase array design based on surrogate model

In aero-acoustic wind tunnel tests, the improvement of the microphone phase array according to the noise source features must be conducted as fast as possible to ensure the required efficiency of the tests. An optimization method based on the Kriging surrogate model is proposed in this study. The maximum sidelobe level and the resolution of the microphone phase array are obtained by analyzing the results computed from the point spread function. A Kringing surrogate model is constructed based on the response values computed on sample points. Then the surrogate model was utilized to fast assess the maximum sidelobe level and the resolution of the microphone phase array, which avoided the high computational cost caused by computing the point spread function. This method can improve the performance of the microphone phase array effectively for aero-acoustic wind tunnel tests.