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ABSTRACT

Prediction of Vibration Response of Satellite Equipment Panel in Consideration of Robustness

Y. Adachi1, F. Sako1, S. Qinzhong2, S. Ando2, M. Tsuchihashi2, I. Hagiwara3

Master, Mechanical Sciences and Engineering, Tokyo Institute of Technology, Japan
Japan Aerospace Exploration Agency
Professor, Mechanical Sciences and Engineering, Tokyo Institute of Technology, Japan

The International Conference on Computational & Experimental Engineering and Sciences 2008, 7(1), 19-22. https://doi.org/10.3970/icces.2008.007.019

Abstract

In this paper, the vibration response of the satellite equipment panel during the launch phase is predicted in consideration of the robustness. By using a simplified model consisted of a panel and an acoustic cavity, Monte Carlo simulation in which analytical parameters are changed at random in the conceivable range of variation is done. From the result, the acceleration power spectral density (PSD) of the satellite equipment panel is obtained. After statistical processing, the effect of variation on the vibration response is estimated and the proper design criteria of the equipment are defined.

Cite This Article

APA Style
Adachi, Y., Sako, F., Qinzhong, S., Ando, S., Tsuchihashi, M. et al. (2008). Prediction of vibration response of satellite equipment panel in consideration of robustness. The International Conference on Computational & Experimental Engineering and Sciences, 7(1), 19-22. https://doi.org/10.3970/icces.2008.007.019
Vancouver Style
Adachi Y, Sako F, Qinzhong S, Ando S, Tsuchihashi M, Hagiwara I. Prediction of vibration response of satellite equipment panel in consideration of robustness. Int Conf Comput Exp Eng Sciences . 2008;7(1):19-22 https://doi.org/10.3970/icces.2008.007.019
IEEE Style
Y. Adachi, F. Sako, S. Qinzhong, S. Ando, M. Tsuchihashi, and I. Hagiwara, “Prediction of Vibration Response of Satellite Equipment Panel in Consideration of Robustness,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 7, no. 1, pp. 19-22, 2008. https://doi.org/10.3970/icces.2008.007.019



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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