A search algorithm coupling parallel strategy and distance decreasing method applied to CAA
Received:October 30, 2016  Revised:December 26, 2016
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DOI:10.7511/jslx20161030001
KeyWord:flow field  sound field  algorithm  Computational Aero-acoustics  broadband aerodynamic noise  airfoil
           
AuthorInstitution
余培汛 中国飞机强度研究所 航空声学与动强度航空科技重点实验室, 西安
杨海 中国飞机强度研究所 航空声学与动强度航空科技重点实验室, 西安
潘凯 中国飞机强度研究所 航空声学与动强度航空科技重点实验室, 西安
韩啸 西北工业大学 航空学院, 西安
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Abstract:
      A modified search algorithm coupling MPI parallel strategy and distance decreasing method is proposed,while a field function interpolation algorithm for flow field is also introduced.This algorithm is suitable for structured and unstructured meshes,and can transfer flow field information from flow field grid to sound field grid efficiently.For the validation of the grid point search algorithm's efficiency,the paper chooses two-dimensional 30p30n three-section multi-foil as a subject of study.The results are analyzed under different numbers of child processes,and higher efficiency is achieved as the number of child processes increases.The results also show that:compared with traditional distance decreasing method,this modified method can effectively improve the search efficiency of CAA grid points,and efficiency becomes higher as the number of child processes increases.On this basis,delivery method between flow field and the sound field information is incorporated into CAA method.Then this method is applied to the two-dimensional NACA0012 airfoil's trailing edge noise and the results show that the method can simulate broadband aerodynamic noise.