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《Journal of Zhejiang University(Engineering Science)》 2017-01
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Adaptive grid method for shock capturing based on image processing technique

ZHANG Xiao-jun;LIU Zhi-jing;LI Jie;School of Computer Science and Technology,Xidian University;School of Space Engineering,Rocket Force University of Engineering;  
A new grid adaptive method for shock capturing based on the idea of image processing was proposed in order to balance the relationship between the capturing precision and the computational efficiency of the flow field.An analogy was made between the grid of flow field and the image pixels.The whole flow field was covered by coarse grid and the area where shock occurs will be further subdivided.The division process was embedded into the flow solver,whose computational results helped to adaptively increase the grid density.The above process was repeated until a desired resolution was reached.The proposed method was verified by an example of a certain aircraft.The experimental results show that the proposed method can effectively capture the information of the flow field near the shock and increase its grid density,thus improve the recognition degree of the shock.The grid generated by the proposed method turns out to be smoother in the transition region between the density region and the sparse region,so that the deformed region can be effectively avoided.
【Fund】: 国家自然科学基金资助项目(61173091)
【CateGory Index】: O354.3
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