ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Detached eddy simulation based on adaptive hybrid grids
Received date: 2016-01-18
Revised date: 2016-06-02
Online published: 2016-06-14
Supported by
National Natural Science Foundation of China (11532016); National Key Technology Research and Development Program (2016YFB0200700)
An adaptive mesh technique with isotropic refining/coarsening approach based on CFD general notation system (CGNS) data structure is presented and implemented for hybrid grids. In order to simplify the possible refinement cases, elements with hanging nodes are changed into polyhedron and meanwhile the compatibility of the grid is maintained, so flow solvers that allow polyhedrons can operate on the adapted meshes without any modifications. Then, detached eddy simulation (DES) method combined with the grid adaptation technique is applied to simulate the flow over a 65° sweep delta wing at high angle of attack. The comparison of the DES results on initial grid and adaptive grid, as well as the experimental data, is carried out. The numerical results demonstrate that with the use of the adaptive technique the spatial resolution in the leeward side of the delta wing can be improved effectively due to the increment of cell number in some local region and the capability of present DES solver to resolve the small scale turbulent flow structure is effectively enhanced, consequently the issue of resolution is alleviated in DES simulation based on hybrid grid with a commonly used second-order scheme.
ZHANG Yang , ZHANG Laiping , HE Xin , DENG Xiaogang . Detached eddy simulation based on adaptive hybrid grids[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016 , 37(12) : 3605 -3614 . DOI: 10.7527/S1000-6893.2016.0175
[1] SLOTNICK J, ABDOLLAH K, JUAN A, et al. CFD vision 2030 study:A path to revolutionary computational aerosciences:NASA-CR-218178[R]. Washington, D.C.:NASA, 2014.
[2] SPALART P R, JOU W H, STRELETS M, et al. Comments on the feasibility of LES for wings and on a hybrid RANS/LES approach[C]//Proceedings of 1st AFOSR International Conference On DNS/LES. Columbus:Greyden Press, 1997:137-147.
[3] BAKER T J. Mesh generation:Art or science?[J]. Progress in Aerospace Sciences, 2005, 41(1):29-63.
[4] HAASE W, BRAZA M, REVELL A. DESider-A European effort on hybrid RANS-LES modeling[M]. Berlin:Springer, 2009:19-139.
[5] BAKER T J. Mesh adaptation strategies for problems in fluid dynamics[J]. Finite Elements in Analysis and Design, 1997, 25(3-4):243-273.
[6] MAVRIPLIS D J. Unstructured mesh generation and adaptivity:NASA-CR-195069[R]. Washington, D.C.:NASA, 1995.
[7] LOHNER R. Adaptive h-refinement on 3D unstructured grids for transient problems[J]. International Journal for Numerical Methods in Fluids, 1992, 14(12):1407-1419.
[8] MAVRIPLIS D J. Adaptive meshing techniques for viscous flow calculation on mixed element unstructured meshes[J]. International Journal for Numerical Methods in Fluids, 2000, 34(2):93-111.
[9] SENGUTTUVAN V, CHALASANI S, LUKE E A, et al. Adaptive mesh refinement using general elements:AIAA-2005-0927[R]. Reston:AIAA, 2005.
[10] HE X, ZHANG L P, ZHAO Z, et al. Research and development of structured/unstructured hybrid CFD software[J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2013, 30(S):116-120.
[11] HE X, ZHANG L P, ZHAO Z, et al. Validation of the structured/unstructured hybrid CFD software-HyperFLOW[C]//The Eighth International Conference on Computational Fluid Dynamics. Mianyang:China Aerodynamics Research and Development Center, 2014:920-931.
[12] SHUR M L, SPALART P R, STRELETS M K, et al. A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities[J]. International Journal of Heat and Fluid Flow, 2008, 29(6):1638-1649.
[13] TRAVIN A, SHUR M, STRELETS M, et al. Physical and numerical upgrades in the detached-eddy simulation of complex turbulent flows[C]//Advances in LES of Complex Flows. Berlin:Springer, 2004:239-254.
[14] BUI T T. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flow[J]. Computers & Fluids, 2000, 29(8):877-915.
[15] DENG X B, ZHAO X H, YANG W, et al. Dynamic adaptive upwind method and it's applications in RANS/LES hybrid simulations[C]//The Eighth International Conference on Computational Fluid Dynamics. Mianyang:China Aerodynamics Research and Development Center, 2014:807-814.
[16] XIAO L H, XIAO Z X, DUAN Z W, et al. Improved-delayed-detached-eddy simulation of cavity-induced transition in hypersonic boundary layer[C]//The Eighth International Conference on Computational Fluid Dynamics. Mianyang:China Aerodynamics Research and Development Center, 2014:1055-1073.
[17] 张扬, 张来平, 赫新, 等. 基于非结构/混合网格的脱体涡模拟算法[J]. 航空学报, 2015, 36(9):2900-2910. ZHANG Y, ZHANG L P, HE X, et al. Detached-eddy simulation based on unstructured and hybrid grid[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(9):2900-2910(in Chinese).
[18] ZHANG Y, ZHANG L P, HE X, et al. Detached-eddy simulation of subsonic flow past a delta wing[J]. Procedia Engineering, 2015(126):584-587.
[19] ROE P L. Approximate Riemann solvers, parameter vectors, and difference schemes[J]. Journal of Computational Physics, 1981, 43(2):357-372.
[20] VENKATAKRISHNAN V. Convergence to steady state solutions of the Euler equations on unstructured grids with limiters[J]. Journal of Computational Physics, 1995, 118(1):120-130.
[21] ZHANG L P, WANG Z J. A block LU-SGS implicit dual time-stepping algorithm for hybrid dynamic meshes[J]. Computers & Fluids, 2004, 33(7):891-916.
[22] ZHANG L P, ZHAO Z, CHANG X H, et al. A 3D hybrid grid generation technique and multigrid/parallel algorithm based on anisotropic agglomeration approach[J]. Chinese Journal of Aeronautics, 2013, 26(1):47-62.
[23] RUMSEY C, WEDAN B, HAUSER T, et al. Recent updates to the CFD General Notation System (CGNS):AIAA-2012-1264[R]. Reston:AIAA, 2012.
[24] CHU J, LUCKRING J M. Experimental surface pressure data obtained on 65° delta wing across Reynolds number and Mach number ranges:NASA-TM-4645[R]. Washington, D. C.:NASA, 1996.
/
| 〈 |
|
〉 |
CJA