To improve the computational efficiency and applicability for high performance parallel computing of CFD
a parallel full-implicit method based on GMRES+LU-SGS is developed for unsteady flow simulation. The convergence and parallel property of the method have been studied. The restartable GMRES method is improved to save computing time in the process of GMRES restart. The domain decomposition and Hybrid LU-SGS preconditioner have been studied for parallel implementation. A robust Negative-SA turbulence model for large CFL number
computing and storing the Jacobian matrix and grid reorder methods have been studied to improve the computational efficiency. The methods have been used to compute the plane flow
the flow around NACA0012 airfoil
wing-body configuration
F-16 fighter aeroelastics
and rotor unsteady flow simulation. The numerical results indicate that these methods on distributed parallel computers lead to 20%~200% increase in performance over LU-SGS method. Moreover
remarkable super-linear speedup is achieved on 240 processors.
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references
SLOTNICK J, KHODADOUST A, ALONSO J, et al. CFD vision 2030 study: A path to revolutionary computational aero-sciences: NASA-2014-218178[R]. Hampton: NASA, 2014.
ZHANG L P, DENG X G, HE L, et al. The opportunity and grand challenges in computational fluid dynamics by exascale computing[J]. Acta Aerodynamica Sinica, 2016, 34(4):405-417. (in Chinese)
SHAROV D, LUO H, BAUM J. Implementation of unstructured grid GMRES+LU-SGS method on shared-memory, cache-based parallel computers: AIAA-2000-0927[R]. Reno: AIAA, 2000.
KANG Z L, YAN C. Parallel GMRES+LU-SGS method for mixed grids[J]. Acta Aerodynamica Sinica, 2013, 31(2):225-230. (in Chinese)
BROWN D A, ZINGG D W. Performance of a Newton-Krylov-Schur algorithm for solving steady turbulent flows[J]. AIAA Journal, 2016, 54(9):2645-2658.
OSUSKY L, BUCKLEY H, REIST T, et al. Drag minimization based on the Navier-Stokes equations using a Newton-Krylov approach[J]. AIAA Journal, 2015, 53(6):1555-1577.
ITO Y, MURAYAMA M, HASHIMOTO A, et al. TAS Code, FaSTAR and Cflow results for the sixth drag prediction workshop[C]. 55th AIAA Aerospace Sciences Meeting. 2017.
YAN Z G, LIU H Y, MAO M L, et al. Convergence property investigation of GMRES method based on high-order dissipative compact scheme[J]. Acta Aeronoutica et Astronautica Sinica, 2014, 35(2):1181-1192. (in Chinese)
ZHANG J, DENG Y Q, LI B, et al. A new method to accelerate GMRES's convergence applying to three-dimensional hybrid grid[J]. Acta Aeronoutica et Astronautica Sinica, 2016, 37(11):3226-3235. (in Chinese)
GONG X Q, JIA H Y, CHEN J T, et al. Applications of GMRES based on exact calculations of Jacobian matrix in discontinuous Galerkin methods[J]. Acta Aerodynamica Sinica, 2019, 37(1):121-132. (in Chinese)
XIA J, TIAN S L, WANG J F, et al. Parallel computing strategy for 3d dynamic overset unstructured Navier-Stokes solver[J]. Acta Aeronoutica et Astronautica Sinica, 2008, 29(5):1118-1124. (in Chinese)
ALLMARAS S R, JOHNSON F T, SPALART P R. Modifications and clarifications for the implementation of the Spalart-Allmaras turbulence model: ICCFD7-1902[C]//Big Island: ICCFD, 2012.
Saad Y. GMRES:Iterative methods for sparse linear systems[M]. 2nd ed. Philadelphia:SIAM, 2003.
CHEN J, WANG Z H. Scalability analysis of CFD parallel applications[J]. Acta Aerodynamica Sinica, 2002, 20(3):22-26. (in Chinese)
WISSINK A M. Parallelization of a three-dimensional flow solver for Euler rotorcraft aerodynamics predictions[J]. AIAA Journal, 1996, 34(11):2276-2282.
GIBBS N E, POOLE W G, STOCKMEYER P K. An algorithm for reducing the bandwidth and profile of a sparse matrix[J]. SIAM J Numer Anal, 1976, 13:236-250.
DAVID H, FORSYTHE J, HALLISSY B P, el al. Fundamental physics validation using CREATE-AV kestrel part I: AIAA 2014-0920[R]. Maryland: AIAA, 2014.
MURAYAMA M, YAMAMOTO K. Comparison study of drag prediction by structured and unstructured mesh method[J]. Journal of Aircraft, 2008, 45(3):799-822.
RUMSEY C L, RIVERS S M, MORRISON J H. Study of CFD variation on transport configurations from the second drag-prediction workshop[J]. Computers Fluids, 2004, 34(7):785-816.
ABDOL-HAMID K S, CARLSON J, RUMSEY C L, el al. DPW-VI results using FUN3D with focus on k-kL-MEAH 2015 turbulence mode: NF1676L-25300l[R]. Hampton: NASA, 2017.
PARKER G. Dynamic aeroelastic analysis of wing/store configurations: AD-445218[R]. Ohio: AFIT, 2005.