Research Papers

A Time Domain Inverse Method for Identification of Random Acoustic Sources at Launch Vehicle Lift-Off

[+] Author and Article Information
B. Troclet

Department of Missile Structural Analysis, EADS ASTRIUM Space Transportation, 78133 Les Mureaux, France

S. Alestra, V. Srithammavanh, I. Terrasse

Department of Simulation Information Technology Systems Engineering, EADS Innovation Works, 92152 Suresnes, France

J. Vib. Acoust 133(2), 021010 (Mar 22, 2011) (11 pages) doi:10.1115/1.4002124 History: Received November 02, 2008; Revised June 11, 2010; Published March 22, 2011; Online March 22, 2011

In order to characterize the lift-off acoustic environment of launch vehicles, EADS has developed an inverse method via a time domain boundary integral equation approach using an optimal control method. An industrial application of the method is presented via the identification of acoustic sources of ARIANE 5 from lift-off in-flight measurements. As the lift-off acoustic field is random in nature, the optimization process is performed using the cross-correlation functions matrix measurement. After having characterized the sources from pressure measurements, the complete environment is rebuilt by an acoustic direct computation from the obtained acoustic sources. We finally estimate the loads created by the acoustic field by integrating the resulting pressures over all surfaces of the launchers.

Copyright © 2011 by American Society of Mechanical Engineers
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Figure 1

ARIANE 5 and launch pad elements

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Figure 2

Definition of the overpressure waves

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Figure 3

Effects of the overpressure and acoustic loads

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Figure 4

BEM double layer matrix for time marching BEM scheme

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Figure 5

Global scheme of the minimization process loop

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Figure 6

ARIANE 5 flight 521 BEM mesh

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Figure 7

Locations of acoustic sources

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Figure 8

Solid rocket booster source (source A)

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Figure 9

Solid rocket booster source (launch duct exit and source B)

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Figure 10

Comparison of the measured and computed pressure data (sensor 1)

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Figure 11

Comparison of the measured and computed pressure data (sensor 3)

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Figure 12

Comparison of the measured and computed difference in pressure data (sensors 1 and 3)

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Figure 13

Comparison of the measured/computed difference in pressure (sensors 12 and 10)

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Figure 14

Comparison of the measured and computed cross-correlation (sensors 4 and 10)



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