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Nonlinear Stochastic Theory and Identification of Nonlinearity in Nuclear Reactors

  • Chapter
Noise and Nonlinear Phenomena in Nuclear Systems

Abstract

Presented are a nonlinear stochastic theory and a method for the identification of non-linearity using empirical models in nuclear systems. First I describe a stochastic dynamical power reactor model. Here I proposed are a method (i) of identifying BWR stability with the use of the covariance and the irreversible circulation of fluctuation, and (ii) a method of inferring reactor parameters such as feedback coefficients. Second, the identification theory of 2D random vibration using of a generalized stochastic process and a fluctuation-dissipation theorem is described. Third, the feasibility for the identification of fluid is also demonstrated.

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Author information

Authors and Affiliations

  1. Institute of Materials Science, University of Tsukuba, Tsukuba, Ibaraki, 305, Japan

    H. Konno

Authors
  1. H. Konno
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Editor information

Editors and Affiliations

  1. Polytechnic University of Valencia, Valencia, Spain

    J. L. Muñoz-Cobo

  2. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    F. C. Difilippo

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© 1989 Plenum Press, New York

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Konno, H. (1989). Nonlinear Stochastic Theory and Identification of Nonlinearity in Nuclear Reactors. In: Muñoz-Cobo, J.L., Difilippo, F.C. (eds) Noise and Nonlinear Phenomena in Nuclear Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-5613-4_16

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  • DOI: https://doi.org/10.1007/978-1-4684-5613-4_16

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-5615-8

  • Online ISBN: 978-1-4684-5613-4

  • eBook Packages: Springer Book Archive

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