航空发动机排气系统单站RCS准确高效仿真方法与试验验证

doi:10.7527/S1000-6893.2022.27676

Abstract

Abstract:

Accurate and efficient electromagnetic scattering simulation method is very important for the design of stealthy aeroengine exhaust systems. In this paper， the Characteristic Basis Function Method （CBFM）， Multilevel Fast Multipole Algorithm （MLFMA）， Interpolation Decomposition （ID） algorithm and parallel technology are combined to simulate the monostatic Radar Cross Section （RCS） of engine exhaust systems. ID can compress the monostatic excitation matrix due to its low rank property， so it can reduce the number of times of solving matrix equations and significantly improve the computational efficiency of the conventional CBFM-MLFMA. To verify the correctness of the algorithm proposed， the axisymmetric exhaust system is machined and its RCS is measured. The simulation results are in good agreement with the measured results， which demonstrates the accuracy of the algorithm.

Key words: engine, exhaust system, electromagnetic scattering, Radar Cross Section (RCS), Method of Moment (MoM), Characteristic Basis Function Method (CBFM), Interpolation Decomposition (ID)

CLC Number:

V218

Xinlei CHEN, Lichang LU, Honghu JI, Changqing GU, Fan GAO, Xiaojuan SHI. Accurate and efficient simulation method and experimental verification of monostatic RCS for aeroengine exhaust systems[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(12): 327676-327676.

Figures/Tables 12

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Table 1

References 23

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计算方法	计算时间/min
计算方法	CBF生成	近场与聚集转移发散函数	迭代求解
并行CBFM-MLFMA	2.9	8.3	78.0
并行ID-CBFM-MLFMA	2.9	8.3	17.0

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Accurate and efficient simulation method and experimental verification of monostatic RCS for aeroengine exhaust systems

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