首页 | 本学科首页   官方微博 | 高级检索  
     


Jump-reduced immersed boundary method for compressible flow
Authors:Hanahchim Choung  Vignesh Saravanan  Soogab Lee
Affiliation:Department of Aerospace Engineering, Seoul National University, Seoul, Republic of Korea
Abstract:The main challenge of the immersed boundary approach is the proper enforcement of boundary conditions on the body interface without any spurious oscillations, which are induced by the nongrid-conforming boundary configuration. In this study, a new sharp interface ghost-cell immersed boundary method (IBM) is proposed for obtaining solutions near the immersed boundary with a high order of accuracy. The main idea is “jump-reduction” instead of jump-correction across the boundary interface by combining the ghost-cell method with the flow reconstruction method. In the proposed IBM, the unknown values at the three points, that is, boundary points, ghost cell, and flow field reconstruction point are solved simultaneously using equations formulated by the moving least-squares interpolation method. It is a hybrid of ghost-cell and flow reconstruction methods, correlated with interface values, which result in a reduced jump-discontinuity. In addition, a discontinuity-distinguishing algorithm is introduced so that the low-order method is applied only to the discontinuous or non smooth region, while the current high-order method is applied elsewhere. Reduced jump-discontinuity of the proposed IBM has been verified in both subsonic and supersonic flow using fundamental benchmark problems. We observed that the reduced jump-discontinuity does not hamper the mass conservation and shows even better conservation property than conventional methods due to the nonoscillatory performance in smooth regions. The numerical results further confirm the ability of the proposed IBM to solve complex flow physics with high-order accuracy and improved stability.
Keywords:compressible flow  flow field reconstruction  ghost-cell approach  immersed boundary method  jump-discontinuity  moving least-squares method  weighted essentially nonoscillatory scheme
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号