A new method based on characteristic surrogate model for prediction of complicated flow fields was proposed, due to the problem of high cost and long time consuming of complex flow field information obtained by traditional test and simulation method. Proper orthogonal decomposition was selected to acquire basis model flow fields with flow field characteristics based on finite set of sample flow fields, and on this basis, multidimensional variable radial basis function interpolation was used for the prediction of new flow fields. The results show that this method can predict the flow field with complex structures, and it has good applicability in different Mach number stages, such as subsonic speed, transonic speed and supersonic speed. Meanwhile, it has higher prediction accuracy in subsonic and supersonic conditions.
WANYAN Zhenhai
,
XU Jia
,
LIANG Lei
,
YANG Liang
,
NIE Rongmei
. Research on Method of Prediction for Complicated Flow Fields Based on Characteristic Surrogate Model[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2017
, 37(6)
: 105
-109
.
DOI: 10.15892/j.cnki.djzdxb.2017.06.024
[an error occurred while processing this directive]
[1] BELSON B A, TU J H, ROWLEY C W. Algorithm 945: modred:a parallelized model reduction library[J].ACM Transactions on Mathematical Software, 2014, 40(4): 1-23.
[2] LUMLEY J L. The structure of inhomogeneous turbulence in atmospheric turbulence and wave propagation[M]//TATARSKI V I. Wave Propagation in a Turbulent Medium. Moscow:[s.n.], 1961: 166-178.
[3] HOLMES P J, LUMLEY J L, BERKOOZ G, et al. Turbulence, coherent structures, dynamical systems and symmetry[M].2nd ed. Cambridge: Cambridge University Press, 2011: 86-113.
[4] SIMPSON T W, BOOKER A J, GHOSH D, et al. Approximation Methods in Multidisciplinary Analysis and Optimization: a panel discussion[J].Structural and Multidisplinary Optimization, 2004, 27(5): 303-313.
[5] WANG A X, MA Y C, YAN W J. The proper orthogonal decomposition method for Navier-Stokes equations[J].Academic Journal of Xi’an Jiaotong University, 2008, 20(3): 141-148.
[6] 邱亚松, 白俊强, 华俊. 基于本征正交分解和代理模型的流场预测方法[J].航空学报, 2013, 34(6): 1249-1260.