基于加权正则化的火箭发动机振动传递路径分析

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Abstract To provide the basis for vibration control of rocket engine under multi-load, the vibration transfer path analysis (TPA) of the engine is necessary, mainly consisting of load identification and vibration contribution analysis. To identify accurately the engine multi-source excitation and provide reliable analysis results of vibration contribution, an improved TPA based on weighted regularization was proposed. Firstly, the upper bound of relative load identification error was derived and then weighted matrix and Bayesian theory were adopted to improve the accuracy of load recognition, and then the theory of the improved TPA was built. Secondly，a ground vibration testing of the rocket engine was performed to analyze its path contributions. Finally，with the response data of the reference points and the proposed theory of the load identification, the loads on the engine were identified and the vibration contributions of different loads on the target points were calculated and analyzed. The results show that, the proposed TPA is more accurate than the traditional TPA in load identification and vibration contribution analysis.

Key words： multi-load identification transfer path analysis rocket engine

Received: 11 December 2017 Published: 28 April 2019

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2019/V38/I9/271

[1] Heuser R E, Timmins A R. A study of first day space malfunctions [J]. Journal of Algebra, 1974, 13(4):517–534.
[2] Harry H D L, Kern J e. Dynamic environmental criteria [S]. National Aeronautics and Space Administration, 2001.
[3] Christensen E, Brown A, Frady G. Calculation of dynamic loads due to random vibration environemnts in rocket engine systems [C]. Aiaa/asme/asce/ahs/asc Structures, Structural Dynamics, and Materials Conference. 2013.
[4] Seijs M V V D, Klerk D D, Rixen D J. General framework for transfer path analysis: history, theory and classification of techniques [J]. Mechanical Systems & Signal Processing, 2016, s 68–69:217-244.
[5] Verheij J W. Measuring sound transfer through resilient mountings for separate excitation with orthogonal translations and rotations [J]. 1980.
[6] Verheij J W. Multi-path sound transfer from resiliently mounted shipboard machinery: experimental methods for analyzing and improving noise control [D]. 1982.
[7] Plunt J. Strategy for transfer path analysis (TPA) applied to vibro-acoustic systems at medium and high frequencies [J]. 1998.
[8] 杨智春, 贾有. 动载荷识别方法的研究进展[J]. 力学学报, 2015, 45(2):384-384.
Yang Z C, Jia Y. Advance of studies on the identi¯cation of dynamic load. Advances in Mechanics, 2015, 45: 201502
[9] Klerk D D, Ossipov A. Operational transfer path analysis: theory, guidelines and tire noise application [J]. Mechanical Systems & Signal Processing, 2010, 24(7):1950-1962.
[10] Janssens K, Gajdatsy P, Gielen L, et al. OPAX: A new transfer path analysis method based on parametric load models [J]. Mechanical Systems & Signal Processing, 2011, 25(4):1321-1338.
[11] Dobson B J, Rider E. A review of the indirect calculation of excitation forces from measured structural response data [J]. ARCHIVE Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 1989-1996 (vols 203-210), 1990, 204(2):69-75.
[12] Jia Y, Yang Z, Guo N, et al. Random dynamic load identification based on error analysis and weighted total least squares method[J]. Journal of Sound & Vibration, 2015, 358(3):111-123.
[13] Aucejo M, Smet O D. Bayesian source identification using local priors[J]. Mechanical Systems & Signal Processing, 2015, 66:120-136.
[14] Hansen P C, Oleary D P. The use of the L-curve in the regularization of discrete ill-posed problems [J]. SIAM Journal on Scientific Computing, 1993, 14(6): 1487-1503.
[15] Golub G H, Heath M, Wahba G. Generalized cross-validation as a method for choosing a good ridge parameter [J]. Technometrics, 1979, 21(2): 215-223.
[16] Tikhonov A N, Arsenin V Y. Solution of ill-posed problems [J]. Mathematics of Computation, 1977, 32(144):491-491.
[17] Flemming J. Generalized tikhonov regularization: basic theory and comprehensive results on convergence rates [D]. Technische Universität Chemnitz, 2011.