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Study of Surrogate Data Method for Chaos Identification of Natural Circulation Flow Oscillation Under Rolling Motion

[+] Author Affiliations
Wenchao Zhang, Sichao Tan, Puzhen Gao

Harbin Engineering University, Harbin, Heilongjiang, China

Pengfei Zhang

China Ship Development and Design Center, Wuhan, Hubei, China

Yanguang Yang

Chang Yi Supply Company, Changyi, Shandong, China

Paper No. ICONE21-15542, pp. V006T16A014; 5 pages
doi:10.1115/ICONE21-15542
From:
  • 2013 21st International Conference on Nuclear Engineering
  • Volume 6: Beyond Design Basis Events; Student Paper Competition
  • Chengdu, China, July 29–August 2, 2013
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-5583-6
  • Copyright © 2013 by ASME

abstract

The identification of chaos in the two-phase natural circulation system under rolling motion can provide theoretical guidance for forecasting and control of natural circulation flow instability. The surrogate-data technique is one of effective methods to identify the chaos in the time series exactly. It can avoid the limitation of the positively identifying chaos. In this paper, correlation dimension and principal component analysis (PCA) was used as the identification evidence; the surrogate-data technique was used for the identification of chaos in time series of the irregular complex flow oscillations. The results indicate that there is chaos in the natural circulation system under rolling motion and the surrogate-data technique can identify chaos exactly.

Copyright © 2013 by ASME

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