Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
권호 표지
DOI QR코드

DOI QR Code

A PROCEDURE FOR GENERATING IN-CABINET RESPONSE SPECTRA BASED ON STATE-SPACE MODEL IDENTIFICATION BY IMPACT TESTING

  • Cho, Sung-Gook (JACE KOREA R&D Center) ;
  • Cui, Jintao (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Kim, Doo-Kie (Department of Civil and Environmental Engineering, Kunsan National University)
  • Received : 2010.08.17
  • Accepted : 2011.04.29
  • Published : 2011.12.25
Download PDF
⟨ Previous Next ⟩

Abstract

The in-cabinet response spectrum is used to define the input motion in the seismic qualification of instruments and devices mounted inside an electrical cabinet. This paper presents a procedure for generating the in-cabinet response spectrum for electrical equipment based on in-situ testing by an impact hammer. The proposed procedure includes an algorithm to build the relationship between the impact forces and the measured acceleration responses of cabinet structures by estimating the state-space model. This model is used to predict seismic responses to the equivalent earthquake forces. Three types of structural model are analyzed for numerical verification of the proposed method. A comparison of predicted and simulated response spectra shows good convergence, demonstrating the potential of the proposed method to predict the response spectra for real cabinet structures using vibration tests. The presented procedure eliminates the uncertainty associated with constructing an analytical model of the electrical cabinet, which has complex mass distribution and stiffness.

Keywords

References

  1. IEEE Power Engineering, IEEE Recommended Practices for Seismic Qualification of Class 1E Equipment for Nuclear Power Generating Stations, IEEE Std 344-2004, The Institute of Electrical and Electronics Engineers Inc., 2005.
  2. O'sullivan, J. J. and Djordjevic, W., Guidelines for Development of In-Cabinet Amplified Response Spectra for Electrical Benchboards and Panels, EPRI NP-7146- M, Electric Power Research Institute, Palo alto, CA, 1990.
  3. Gupta, A., Rustogi, S. K., and Gupta, A. K., "Ritz vector approach for evaluating in-cabinet response spectra," Journal of Nuclear Engineering and Design, 190, 255- 272, 1999. https://doi.org/10.1016/S0029-5493(99)00076-X
  4. Gupta, A., and Yang, J., "Modified Ritz vector approach for dynamic properties of electrical cabinets and control panels," Journal of Nuclear Engineering and Design, 217, 49-62, 2002. https://doi.org/10.1016/S0029-5493(02)00133-4
  5. Yang, J., and Gupta, A., "INCABS: A Computer Program for Evaluating Incabinet Spectra," Transactions of SMiRT 16, Paper #2072, Washington DC, August 2001.
  6. Rustogi, S., and Gupta, A., "Modeling the Dynamic Behavior of Electrical Cabinets and Control Panels: Experimental and Analytical Results," Journal of Structural Engineering, 130, No. 3, 511-519, 2004. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:3(511)
  7. Koo, K. Y., Cho, S. G., Cui, J. and Kim, D., "Seismic response prediction for cabinets of nuclear power plants by using impact hammer test," Journal of Nuclear Engineering and Design 240, 2500-2511, 2010. DOI: 10.1016 /j.nucengdes.2010.05.008. https://doi.org/10.1016/j.nucengdes.2010.05.008
  8. Soong, T. T., Active Structural Control: Theory and Practice, John Wiley & Sons, Inc., New York, 1990.
  9. Overschee, P. van, and Moor, B. de, "N4SID: Subspace algorithms for the identification of combined deterministicstochastic systems," Automatica, 30, 75-93, 1994. https://doi.org/10.1016/0005-1098(94)90230-5
  10. Overschee, P. van, and Moor, B. de, 1997, "Closed-loop subspace system identification," Proc. of the 36th Conference on Decision and Control, pp. 1848-1853, 1997.
  11. Kailath, T., Linear Systems, Prentice Hall, Englewood Cliffs, NJ, USA, 1980.
  12. Ljung, L., System Identification: Theory for the User, 2nd Edition, Prentice-Hall, NJ 07458, USA, 1999.
  13. Overschee, P. van, and Moor, B. de, Subspace Identification for Linear Systems, Kluwer Academic Publishers, Boston, MA, 1996.
  14. Overschee, P. van, and Moor, B. de, "A Unifying Theorem for Three Subspace System Identification Algorithms," Automatica, 31, 1853-1864, 1995. https://doi.org/10.1016/0005-1098(95)00072-0
  15. MIDAS Civil 2006 Online Manual, MIDAS Information Technology Co., Ltd., Seoul, 2005.
  16. Joe, Y. H., Park, H. G., and Cho, S. G., "Comparative Study of Analytical Modal Properties of Instrumentation Cabinet of Nuclear Power Plant," Proceedings of EESK Conference-Fall 1999, 3, Incheon, Korea, September 18, 1999 (in Korean).

Cited by

  1. Development of basic technique to improve seismic response accuracy of tributary area-based lumped-mass stick models vol.18, pp.1, 2019, https://doi.org/10.1007/s11803-019-0493-x