Identification of Statistical Energy Analysis Parameters Based on ERA

KONG Xian-ren;ZHANG Hong-liang

Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (11) : 1-5,20.

PDF(2527 KB)
PDF(2527 KB)
Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (11) : 1-5,20.
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Identification of Statistical Energy Analysis Parameters Based on ERA

  • KONG Xian-ren; ZHANG Hong-liang
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Abstract

Statistical Energy Analysis (SEA) is the most effective tool for the solution of high-frequency dynamical problems of complex structure. However, a reliable solution can be obtained by SEA under the precondition that SEA parameters which constitute the coefficients of the SEA equations are evaluated exactly. A method for identifying the parameters from experimental date is provided in the paper. The methodology begins with identifying a minimum order model of the power flow model utilizing the Eigensystem Realization Algorithm(ERA), then the eigenpairs of the identification model are used to update an initial computation SEA model that has a discrepancy with the true model. The SEA parameters are extracted from updated SEA model ultimately. Simulations are performed on the three subsystem model at different noise-to-ratios, and the result show that the methodology presented in this paper performs quite satisfactorily. Another analogous simulation is performed on a micro-satellite and the result indicates the methodology can be extended to identify the SEA parameters of a complicated model likewise.

Key words

eigensystem realization algorithm / statistical energy analysis / modal density / damping loss factor / coupling loss factor.

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KONG Xian-ren;ZHANG Hong-liang. Identification of Statistical Energy Analysis Parameters Based on ERA[J]. Journal of Vibration and Shock, 2010, 29(11): 1-5,20
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